Open-source ELT from CallRail to any destination

Open-source ETL from CallRail to any destination

Open-source database replication from CallRail

Open data movement to CallRail

CallRail is a call tracking and analytics platform that helps businesses track phone calls, manage leads, and optimize marketing campaigns, enhancing customer engagement and ROI.

Airbyte enables you to load your CallRail data into any data warehouse, lake, or database in minutes using our pre-built, no-code connectors.

Airbyte enables you to extract and sync data from your CallRail data into any data warehouse, lake, database, or any destination within minutes.

Replicate your CallRail data into any data warehouses, lakes or (vector) databases, in minutes, using Change Data Capture.

Airbyte enables you to sync from any data source to CallRail, in minutes.

AIRBYTE CONNECTOR
MARKETPLACE
This connector is not available on Airbyte.
Upvote here to help the community prioritize.
20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors

Top companies trust Airbyte to centralize their Data

Start leveraging your CallRail data in three easy steps

1

Setup a CallRail connector in Airbyte

Connect to CallRail or one of 400 Airbyte data sources through simple account authentication.

2

Set up a destination for your extracted CallRail data

Choose from one of 50+ destinations where you want to import data from your CallRail source.This can be a cloud data warehouse, database, data lake, vector database, or any other supported Airbyte destination.

3

Configure the CallRail connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Start analyzing your CallRail data in three easy steps

1

Setup a CallRail connector in Airbyte

Connect to CallRail or one of 300+ Airbyte data sources through simple account authentication

2

Set up a destination for your extracted CallRail data

Choose from one of 50+ destinations where you want to import data from your CallRail source. This can be a cloud data warehouse, database, data lake, or any other supported Airbyte destination.

3

Configure the CallRail connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Start syncing data from any source to CallRail in three easy steps

1

Set up a source connector to extract data from in Airbyte

Choose from one of 400 sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code no-code connector builder.

2

Set up CallRail as the destination connector

Connect to CallRail or one of 50+ Airbyte data sources through simple account authentication

3

Configure the connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in CallRail you want that data to be loaded.

LOVED by 10,000 (DATA) ENGINEERS

The Airbyte ‍Open Data Movement Platform

The only open solution empowering data teams
to meet growing business demands in the new AI era.

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.
LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.
LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.

Move large volumes, fast.

Quickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.

Change Data Capture.

Airbyte's log-based CDC allows for fast detection of all data changes and efficient replication with minimal resources.

Security from source to destination.

Securely connect to your database using our reliable connection methods (SSL/TLS, SSH tunnels). Bring your own cloud too!

We support the CDC methods your company needs

Log-based CDC

Our binary log reader asynchronously reads the transaction logs to identify any changes made to the database. This scalable method can handle large volumes of data and enables real-time CDC.
Read more about CDC

Timestamp-based CDC

Changes are identified using a cursor, and only the changes made since the last sync are replicated.
Learn more

It’s never been easier to integrate your CallRail data into your data warehouse, lake or database

It’s never been easier to integrate your CallRail data into your data warehouse, lake or database

It’s never been easier to integrate any data to CallRail

Airbyte Open Source

Self-host the leading open-source data movement platform with the largest catalog of ELT connectors.
Deploy Airbyte Open Source

Airbyte Cloud

The easiest way to address all your ELT needs. Largest catalog of connectors, all customizable.
Try Airbyte Cloud free

Airbyte Enterprise

The best way to run Airbyte in self-hosted, with services and features that drive reliability, scalability, and compliance.
Learn more
TRUSTED BY 3,000+ COMPANIES DAILY

Why choose Airbyte as the backbone of your data infrastructure?

Keep your data engineering costs in check

Building and maintaining custom connectors have become 5x easier with Airbyte. Enable your data engineering teams to focus on projects that are more valuable to your business.
Given 44% of data teams are spent on maintaining brittle in-house connectors, this is a new level of internal resources that you get back.

Get Airbyte hosted where you need it to be

Airbyte helps you deploy your pipelines in production with two deployment options for the data plane:
  • Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
  • Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.

White-glove enterprise-level support

With an average response rate of 10 minutes or less and a Customer Satisfaction score of 96/100, our team is ready to support your data integration journey all over the world.

Including for your Airbyte Open Source instance with our premium support.

Get your CallRail data in whatever tools you need

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

Get your CallRail data in whatever tools you need

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

Sync your data from any sources to CallRail

Airbyte supports a growing list of sources, including API tools,  cloud data warehouses, lakes, databases, and files, or even custom sources you can build.

Case study
Consolidating data silos at Fnatic

Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is CallRail?

CallRail is a cloud-based call tracking and analytics platform that helps businesses of all sizes to track and analyze their phone calls. It provides businesses with a unique phone number for each marketing campaign, which allows them to track the source of their calls and measure the effectiveness of their marketing efforts. CallRail also offers features such as call recording, call routing, and call analytics, which help businesses to improve their customer service and sales performance. With CallRail, businesses can gain valuable insights into their phone calls and make data-driven decisions to optimize their marketing and sales strategies.

What data can you extract from CallRail?

CallRail's API provides access to a wide range of data related to call tracking and analytics. The following are the categories of data that can be accessed through CallRail's API:
1. Call data: This includes information about incoming and outgoing calls, such as call duration, call recording, caller ID, call source, and call outcome.
2. Lead data: This includes information about leads generated through calls, such as lead source, lead status, lead score, and lead contact information.
3. Keyword data: This includes information about the keywords that triggered calls, such as keyword source, keyword match type, and keyword performance.
4. Form data: This includes information about form submissions generated through calls, such as form source, form status, and form contact information.
5. Account data: This includes information about the CallRail account, such as account settings, user information, and billing information.
6. Integration data: This includes information about integrations with other platforms, such as Google Analytics, Salesforce, and HubSpot.
Overall, CallRail's API provides a comprehensive set of data that can be used to analyze call tracking and optimize marketing campaigns.

How do I transfer data from CallRail?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up CallRail as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from CallRail and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from CallRail

The most prominent ETL tools to extract data from CallRail include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from CallRail and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is CallRail?

CallRail is a cloud-based call tracking and analytics platform that helps businesses of all sizes to track and analyze their phone calls. It provides businesses with a unique phone number for each marketing campaign, which allows them to track the source of their calls and measure the effectiveness of their marketing efforts. CallRail also offers features such as call recording, call routing, and call analytics, which help businesses to improve their customer service and sales performance. With CallRail, businesses can gain valuable insights into their phone calls and make data-driven decisions to optimize their marketing and sales strategies.

What data can you extract from CallRail?

CallRail's API provides access to a wide range of data related to call tracking and analytics. The following are the categories of data that can be accessed through CallRail's API:
1. Call data: This includes information about incoming and outgoing calls, such as call duration, call recording, caller ID, call source, and call outcome.
2. Lead data: This includes information about leads generated through calls, such as lead source, lead status, lead score, and lead contact information.
3. Keyword data: This includes information about the keywords that triggered calls, such as keyword source, keyword match type, and keyword performance.
4. Form data: This includes information about form submissions generated through calls, such as form source, form status, and form contact information.
5. Account data: This includes information about the CallRail account, such as account settings, user information, and billing information.
6. Integration data: This includes information about integrations with other platforms, such as Google Analytics, Salesforce, and HubSpot.
Overall, CallRail's API provides a comprehensive set of data that can be used to analyze call tracking and optimize marketing campaigns.

How do I transfer data from CallRail?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up CallRail as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from CallRail and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from CallRail

The most prominent ETL tools to extract data from CallRail include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from CallRail and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is CallRail?

CallRail is a cloud-based call tracking and analytics platform that helps businesses of all sizes to track and analyze their phone calls. It provides businesses with a unique phone number for each marketing campaign, which allows them to track the source of their calls and measure the effectiveness of their marketing efforts. CallRail also offers features such as call recording, call routing, and call analytics, which help businesses to improve their customer service and sales performance. With CallRail, businesses can gain valuable insights into their phone calls and make data-driven decisions to optimize their marketing and sales strategies.

What data can you extract from CallRail?

CallRail's API provides access to a wide range of data related to call tracking and analytics. The following are the categories of data that can be accessed through CallRail's API:
1. Call data: This includes information about incoming and outgoing calls, such as call duration, call recording, caller ID, call source, and call outcome.
2. Lead data: This includes information about leads generated through calls, such as lead source, lead status, lead score, and lead contact information.
3. Keyword data: This includes information about the keywords that triggered calls, such as keyword source, keyword match type, and keyword performance.
4. Form data: This includes information about form submissions generated through calls, such as form source, form status, and form contact information.
5. Account data: This includes information about the CallRail account, such as account settings, user information, and billing information.
6. Integration data: This includes information about integrations with other platforms, such as Google Analytics, Salesforce, and HubSpot.
Overall, CallRail's API provides a comprehensive set of data that can be used to analyze call tracking and optimize marketing campaigns.

What data can you transfer to CallRail?

You can transfer a wide variety of data to CallRail. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

How do I transfer data to CallRail?

1. First, log in to your Airbyte account and navigate to the "Sources" tab.
2. Click on the "Add Source" button and select "CallRail" from the list of available connectors.
3. Enter your CallRail API key and click on the "Test Connection" button to ensure that the connection is successful.
4. Once the connection is verified, you can configure the settings for your CallRail source connector, such as selecting the specific data you want to sync and setting up a schedule for automatic syncing.
5. After configuring your settings, click on the "Create Source" button to finalize the setup of your CallRail source connector.
6. You can now use your CallRail source connector to sync data from your CallRail account to your Airbyte destination connectors, such as Google Sheets or Snowflake.
7. To monitor the status of your CallRail source connector, you can check the "Jobs" tab in your Airbyte account to see if any syncs are currently running or if there are any errors that need to be addressed.
8. You can also edit or delete your CallRail source connector at any time by navigating to the "Sources" tab in your Airbyte account and selecting the appropriate option.

What are top ETL tools to transfer data from CallRail

The most prominent ETL tools to transfer data to CallRail include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into [tool] and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Open-source ELT from CallRail to any destination

Open-source ETL from CallRail to any destination

Open-source database replication from CallRail

Open-source Data Movement to CallRail

CallRail is a call tracking and analytics platform that helps businesses track phone calls, manage leads, and optimize marketing campaigns, enhancing customer engagement and ROI.

Airbyte enables you to load your CallRail data into any data warehouse, lake, or database in minutes using our pre-built, no-code connectors.

Airbyte enables you to extract and sync data from your CallRail data into any data warehouse, lake, database, or any destination within minutes.

Replicate your CallRail data into any data warehouses, lakes or (vector) databases, in minutes, using Change Data Capture.

Airbyte enables you to sync from any data source to CallRail, in minutes.

AIRBYTE CONNECTOR
MARKETPLACE
This connector is not available on Airbyte.
Upvote here to help the community prioritize.
20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors

Start syncing data from any source to CallRail in three easy steps

Start leveraging your CallRail data in three easy steps

Setup a CallRail connector in Airbyte

Setup a CallRail connector in Airbyte

Set up a source connector to extract data from in Airbyte

Connect to CallRail or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Choose from one of 400 sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code connector builder

Set up a destination for your extracted CallRail data

Set up CallRail as the destination connector

Choose from one of 50+ destinations where you want to import data from your CallRail source.This can be a cloud data warehouse, database, data lake, vector database, or any other supported Airbyte destination.

Connect to CallRail or one of 50+ Airbyte data destinations through simple account authentication.

Configure the CallRail connection in Airbyte

Configure the connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in CallRail you want that data to be loaded.

The Airbyte Open Data Movement Platform

The only open solution empowering data teams  to meet growing business demands in the new AI era.

Before Airbyte
  • Inconsistent and inaccurate data
  • Laborious and expensive
  • Brittle and inflexible
Integrating unstructured data sources will make it even more impossible.
After Airbyte
  • Reliable and accurate
  • Extensible and scalable for all your needs
  • Deployed and governed your way
All your sources, structured and unstructured, in minutes, however custom they are, thanks to Airbyte’s connector marketplace and Connector Builder.
LOVED by 10,000 (DATA) ENGINEERS

The Airbyte ‍Open Data Movement Platform

The only open solution empowering data teams
to meet growing business demands in the new AI era.

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.

Why Airbyte?

Airbyte is the only platform covering all your current and future data movement needs, from genAI workflows to managing pipelines.

Syncing data from CallRail is only one of your 1,000 future data pipeline needs.

  • Leverage the largest Marketplace of 400+ pre-built and 10,000+ custom structured and unstructured connectors
  • Join 2,000 + data engineers who built 7,000+ custom connectors in minutes with low-code/no-code Connector Builder or AI Assistant.
  • Simplify your AI workflows by loading unstructured data directly into popular vector store destinations like Pinecone, Weaviate, Milvus and more.
  • Airbyte enhances the accuracy and efficiency of  your Gen AI applications by leveraging RAG, vector databases, and unstructured data integration.
  • Flexible deployment options: self-hosted, cloud, and hybrid.
  • Secure and compliant: ISO 27001, SOC 2, GDPR, HIPAA, data encryption, audit/monitoring, SSO, RBAC, and more.
  • Centralized multi-tenant management with self-serve capabilities.
LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.

Move large volumes, fast.

Quickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.

Change Data Capture.

Airbyte's log-based CDC allows for fast detection of all data changes and efficient replication with minimal resources.

Security from source to destination.

Securely connect to your database using our reliable connection methods (SSL/TLS, SSH tunnels). Bring your own cloud too!

We support the CDC methods your company needs

Log-based CDC

Our binary log reader asynchronously reads the transaction logs to identify any changes made to the database. This scalable method can handle large volumes of data and enables real-time CDC.
Read more about CDC

Timestamp-based CDC

Changes are identified using a cursor, and only the changes made since the last sync are replicated.
Learn more

What our users say

Jean-Mathieu Saponaro
Data & Analytics Senior Eng Manager

The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!

Chase Zieman headshot
Chase Zieman
Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Alexis Weill
Data Lead

“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria.
The value of being able to scale and execute at a high level by maximizing resources is immense”

It’s never been easier to integrate your CallRail data into your data warehouse, lake or database

It’s never been easier to integrate your CallRail data into your data warehouse, lake or database

It’s never been easier to integrate any data to CallRail

Airbyte Open Source

Self-host the leading open-source data movement platform with the largest catalog of ELT connectors.
Deploy Airbyte Open Source

Airbyte Cloud

The easiest way to address all your ELT needs. Largest catalog of connectors, all customizable.
Try Airbyte Cloud free

Airbyte Enterprise

The best way to run Airbyte in self-hosted, with services and features that drive reliability, scalability, and compliance.
Learn more

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

TRUSTED BY 3,000+ COMPANIES DAILY

Why choose Airbyte as the backbone of your data infrastructure?

Keep your data engineering costs in check

Building and maintaining custom connectors have become 5x easier with Airbyte. Enable your data engineering teams to focus on projects that are more valuable to your business.
Given 44% of data teams are spent on maintaining brittle in-house connectors, this is a new level of internal resources that you get back.

Get Airbyte hosted where you need it to be

Airbyte helps you deploy your pipelines in production with two deployment options for the data plane:
  • Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
  • Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.

White-glove enterprise-level support

With an average response rate of 10 minutes or less and a Customer Satisfaction score of 96/100, our team is ready to support your data integration journey all over the world.

Including for your Airbyte Open Source instance with our premium support.

Get your CallRail data in whatever tools you need

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

Get your CallRail data in whatever tools you need

Sync your data from any source to CallRail

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

Airbyte supports a growing list of sources, including API tools,  cloud data warehouses, lakes, databases, and files, or even custom sources you can build.

Case study
Consolidating data silos at Fnatic

Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is CallRail?

CallRail is a cloud-based call tracking and analytics platform that helps businesses of all sizes to track and analyze their phone calls. It provides businesses with a unique phone number for each marketing campaign, which allows them to track the source of their calls and measure the effectiveness of their marketing efforts. CallRail also offers features such as call recording, call routing, and call analytics, which help businesses to improve their customer service and sales performance. With CallRail, businesses can gain valuable insights into their phone calls and make data-driven decisions to optimize their marketing and sales strategies.

What data can you extract from CallRail?

CallRail's API provides access to a wide range of data related to call tracking and analytics. The following are the categories of data that can be accessed through CallRail's API:
1. Call data: This includes information about incoming and outgoing calls, such as call duration, call recording, caller ID, call source, and call outcome.
2. Lead data: This includes information about leads generated through calls, such as lead source, lead status, lead score, and lead contact information.
3. Keyword data: This includes information about the keywords that triggered calls, such as keyword source, keyword match type, and keyword performance.
4. Form data: This includes information about form submissions generated through calls, such as form source, form status, and form contact information.
5. Account data: This includes information about the CallRail account, such as account settings, user information, and billing information.
6. Integration data: This includes information about integrations with other platforms, such as Google Analytics, Salesforce, and HubSpot.
Overall, CallRail's API provides a comprehensive set of data that can be used to analyze call tracking and optimize marketing campaigns.

How do I transfer data from CallRail?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up CallRail as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from CallRail and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from CallRail

The most prominent ETL tools to extract data from CallRail include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from CallRail and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is CallRail?

CallRail is a cloud-based call tracking and analytics platform that helps businesses of all sizes to track and analyze their phone calls. It provides businesses with a unique phone number for each marketing campaign, which allows them to track the source of their calls and measure the effectiveness of their marketing efforts. CallRail also offers features such as call recording, call routing, and call analytics, which help businesses to improve their customer service and sales performance. With CallRail, businesses can gain valuable insights into their phone calls and make data-driven decisions to optimize their marketing and sales strategies.

What data can you extract from CallRail?

CallRail's API provides access to a wide range of data related to call tracking and analytics. The following are the categories of data that can be accessed through CallRail's API:
1. Call data: This includes information about incoming and outgoing calls, such as call duration, call recording, caller ID, call source, and call outcome.
2. Lead data: This includes information about leads generated through calls, such as lead source, lead status, lead score, and lead contact information.
3. Keyword data: This includes information about the keywords that triggered calls, such as keyword source, keyword match type, and keyword performance.
4. Form data: This includes information about form submissions generated through calls, such as form source, form status, and form contact information.
5. Account data: This includes information about the CallRail account, such as account settings, user information, and billing information.
6. Integration data: This includes information about integrations with other platforms, such as Google Analytics, Salesforce, and HubSpot.
Overall, CallRail's API provides a comprehensive set of data that can be used to analyze call tracking and optimize marketing campaigns.

How do I transfer data from CallRail?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up CallRail as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from CallRail and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from CallRail

The most prominent ETL tools to extract data from CallRail include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from CallRail and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is CallRail?

CallRail is a cloud-based call tracking and analytics platform that helps businesses of all sizes to track and analyze their phone calls. It provides businesses with a unique phone number for each marketing campaign, which allows them to track the source of their calls and measure the effectiveness of their marketing efforts. CallRail also offers features such as call recording, call routing, and call analytics, which help businesses to improve their customer service and sales performance. With CallRail, businesses can gain valuable insights into their phone calls and make data-driven decisions to optimize their marketing and sales strategies.

What data can you extract from CallRail?

CallRail's API provides access to a wide range of data related to call tracking and analytics. The following are the categories of data that can be accessed through CallRail's API:
1. Call data: This includes information about incoming and outgoing calls, such as call duration, call recording, caller ID, call source, and call outcome.
2. Lead data: This includes information about leads generated through calls, such as lead source, lead status, lead score, and lead contact information.
3. Keyword data: This includes information about the keywords that triggered calls, such as keyword source, keyword match type, and keyword performance.
4. Form data: This includes information about form submissions generated through calls, such as form source, form status, and form contact information.
5. Account data: This includes information about the CallRail account, such as account settings, user information, and billing information.
6. Integration data: This includes information about integrations with other platforms, such as Google Analytics, Salesforce, and HubSpot.
Overall, CallRail's API provides a comprehensive set of data that can be used to analyze call tracking and optimize marketing campaigns.

What data can you transfer to CallRail?

You can transfer a wide variety of data to CallRail. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

How do I transfer data to CallRail?

1. First, log in to your Airbyte account and navigate to the "Sources" tab.
2. Click on the "Add Source" button and select "CallRail" from the list of available connectors.
3. Enter your CallRail API key and click on the "Test Connection" button to ensure that the connection is successful.
4. Once the connection is verified, you can configure the settings for your CallRail source connector, such as selecting the specific data you want to sync and setting up a schedule for automatic syncing.
5. After configuring your settings, click on the "Create Source" button to finalize the setup of your CallRail source connector.
6. You can now use your CallRail source connector to sync data from your CallRail account to your Airbyte destination connectors, such as Google Sheets or Snowflake.
7. To monitor the status of your CallRail source connector, you can check the "Jobs" tab in your Airbyte account to see if any syncs are currently running or if there are any errors that need to be addressed.
8. You can also edit or delete your CallRail source connector at any time by navigating to the "Sources" tab in your Airbyte account and selecting the appropriate option.

What are top ETL tools to transfer data from CallRail

The most prominent ETL tools to transfer data to CallRail include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into [tool] and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is CallRail?

CallRail is a cloud-based call tracking and analytics platform that helps businesses of all sizes to track and analyze their phone calls. It provides businesses with a unique phone number for each marketing campaign, which allows them to track the source of their calls and measure the effectiveness of their marketing efforts. CallRail also offers features such as call recording, call routing, and call analytics, which help businesses to improve their customer service and sales performance. With CallRail, businesses can gain valuable insights into their phone calls and make data-driven decisions to optimize their marketing and sales strategies.

What data can you extract from CallRail?

CallRail's API provides access to a wide range of data related to call tracking and analytics. The following are the categories of data that can be accessed through CallRail's API:
1. Call data: This includes information about incoming and outgoing calls, such as call duration, call recording, caller ID, call source, and call outcome.
2. Lead data: This includes information about leads generated through calls, such as lead source, lead status, lead score, and lead contact information.
3. Keyword data: This includes information about the keywords that triggered calls, such as keyword source, keyword match type, and keyword performance.
4. Form data: This includes information about form submissions generated through calls, such as form source, form status, and form contact information.
5. Account data: This includes information about the CallRail account, such as account settings, user information, and billing information.
6. Integration data: This includes information about integrations with other platforms, such as Google Analytics, Salesforce, and HubSpot.
Overall, CallRail's API provides a comprehensive set of data that can be used to analyze call tracking and optimize marketing campaigns.

How do I transfer data from CallRail?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up CallRail as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from CallRail and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from CallRail?

The most prominent ETL tools to transfer data to CallRail include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into [tool] and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is CallRail?

CallRail is a cloud-based call tracking and analytics platform that helps businesses of all sizes to track and analyze their phone calls. It provides businesses with a unique phone number for each marketing campaign, which allows them to track the source of their calls and measure the effectiveness of their marketing efforts. CallRail also offers features such as call recording, call routing, and call analytics, which help businesses to improve their customer service and sales performance. With CallRail, businesses can gain valuable insights into their phone calls and make data-driven decisions to optimize their marketing and sales strategies.

How do I transfer data from CallRail?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up CallRail as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from CallRail and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to transfer data from CallRail?

The most prominent ETL tools to transfer data to CallRail include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into [tool] and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.