ETL to Appfollow | Open-source Data Integration

Open-source ELT from Appfollow to any destination

Open-source database replication from Appfollow

Open-source ETL to Appfollow

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

Replicate your Appfollow data into any data warehouses, lakes or databases, in minutes, using Change Data Capture. In the format you need with post-load transformation.

Replicate data from any sources into Appfollow, in minutes. In the format you need with post-load transformation.

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Start analyzing your Appfollow data in three easy steps

Setup a Appfollow connector in Airbyte

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

Set up a destination for your extracted Appfollow data

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

Configure the Appfollow 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 Appfollow data in three easy steps

Setup a Appfollow connector in Airbyte

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

Set up a destination for your extracted Appfollow data

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

Configure the Appfollow 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 Appfollow in three easy steps

Set up a source connector to extract data from in Airbyte

Choose from one of 300+ 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 Appfollow as the destination connector

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

Configure the connection in Airbyte

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

Get started for free

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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.

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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.

Check our CDK

Free your time from maintaining connectors, with automation

Get your pipelines automated and running in minutes from our intuitive UI, API and CLI (coming soon).

Automated schema change handling, data normalization and more
Automated data transformation orchestration with our dbt integration
Automated workflow with our Airflow, Dagster and Prefect integration

Explore our demo app

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.

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.

Browse our catalog

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.

Check our CDK

Free your time from maintaining connectors, with automation

Get your pipelines automated and running in minutes from our intuitive UI, API and CLI (coming soon).

Automated schema change handling, data normalization and more
Automated data transformation orchestration with our dbt integration
Automated workflow with our Airflow, Dagster and Prefect integration

Explore our demo app

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.

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.

Browse our catalog

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.

Check our CDK

Free your time from maintaining connectors, with automation

Get your pipelines automated and running in minutes from our intuitive UI, API and CLI (coming soon).

Automated schema change handling, data normalization and more
Automated data transformation orchestration with our dbt integration
Automated workflow with our Airflow, Dagster and Prefect integration

Explore our demo app

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.

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 Appfollow data into your data warehouse, lake or database

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

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

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Airbyte Cloud

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

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

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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.

Leverage all the alpha and beta connectors for free on Airbyte Cloud with our Free Connector Program.

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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.

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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.

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Get your Appfollow data in whatever tools you need

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

Get your Appfollow 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 Appfollow

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

and more

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.

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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 Appfollow?

Appfollow is a one-stop platform for app analytics, app reviews management, and app store optimization. Get reviews from the App Store, Google Play to monitor and analyse them. AppFollow is on a mission to help teams working on mobile apps to turn insights from reviews into new product experiences that users love. Mobile teams are responding to feedback in a timely manner, building products they know users will love, and optimizing their performance in the app stores with AppFollow.

What data can you extract from Appfollow?

Appfollow's API provides access to a wide range of data related to mobile apps and their performance. The following are the categories of data that can be accessed through Appfollow's API:

1. App Store Optimization (ASO) data: This includes data related to app store rankings, keyword rankings, and user reviews.
2. Competitor analysis data: This includes data related to competitor app rankings, keyword rankings, and user reviews.
3. User acquisition data: This includes data related to app installs, uninstall rates, and user retention rates.
4. App performance data: This includes data related to app crashes, bugs, and other performance issues.
5. Social media data: This includes data related to social media mentions and sentiment analysis.
6. Analytics data: This includes data related to app usage, user engagement, and user behavior.
7. Advertising data: This includes data related to app advertising campaigns, ad performance, and ad spend.

Overall, Appfollow's API provides a comprehensive set of data that can help app developers and marketers make informed decisions about their app's performance and user engagement.

How do I transfer data from Appfollow?

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 Appfollow 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 Appfollow 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 Appfollow

The most prominent ETL tools to extract data from Appfollow include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from Appfollow 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?

What is Appfollow?

What data can you extract from Appfollow?

How do I transfer data from Appfollow?

What are top ETL tools to extract data from Appfollow

What is ELT?

Difference between ETL and ELT?

What is ETL?

What is Appfollow?

What data can you extract from Appfollow?

What data can you transfer to Appfollow?

You can transfer a wide variety of data to Appfollow. 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 Appfollow?

1. Open the Appfollow website and log in to your account.
2. Navigate to the API section of your account settings.
3. Generate an API key by clicking on the "Generate new API key" button.
4. Copy the API key to your clipboard.
5. Open the Airbyte website and navigate to the "Sources" tab.
6. Click on the "Create new source" button.
7. Select "Appfollow" from the list of available connectors.
8. Enter a name for your source and click on the "Next" button.
9. Paste the API key you copied earlier into the "API Key" field.
10. Enter the name of the Appfollow account you want to connect to.
11. Click on the "Test" button to verify that the connection is working.
12. If the test is successful, click on the "Create" button to save your source.
13. You can now use your Appfollow source connector to extract data from your Appfollow account and integrate it with other tools and services.

What are top ETL tools to transfer data from Appfollow

The most prominent ETL tools to transfer data to Appfollow 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.