Sync from Zendesk Chat to Databricks Lakehouse

with open data movement

Extract and load (ELT) your Zendesk Chat data into Databricks Lakehouse in minutes with our open-source data integration connector.

Eliminate the time you spend on building and maintaining your data pipelines by integrating your data with Airbyte instead.
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Start syncing data from Zendesk Chat to Databricks Lakehouse in three easy steps

1

Setup a Zendesk Chat connector in Airbyte

Connect to Zendesk Chat or one of 400 Airbyte data sources through simple account authentication

2

Set up Databricks Lakehouse as the destination connector

Connect to Databricks Lakehouse or one of 50+ Airbyte data destinations through simple account authentication

3

Sync your Data

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

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.

It’s never been easier to integrate your Zendesk Chat data into Databricks Lakehouse

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

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

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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.
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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 Zendesk Chat?

A software developed to optimize communication for small businesses and enterprises worldwide, Zendesk Chat is a live chat application that enables businesses to establish a more personal touch in their customer support. Designed to work on iPhone and iPad as well as computers, Zen Chat provides the ability to monitor, manage, and engage with website visitors from any location; sends notifications when visitors are on a website; features shortcuts to reduce typing time and improve agents’ response time; and more.

What is Databricks Lakehouse?

Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks combines data warehouses and data lakes into a lakehouse architecture.

What data can you extract from Zendesk Chat?

Zendesk Chat's API provides access to a wide range of data related to customer interactions and support activities. The following are the categories of data that can be accessed through the API:  

1. Chat data: This includes information about chat sessions, such as chat duration, chat transcripts, and chat ratings.  
2. Agent data: This includes information about agents, such as their availability status, chat history, and performance metrics.  
3. Visitor data: This includes information about visitors, such as their location, browser type, and chat history.  
4. Ticket data: This includes information about support tickets, such as ticket status, priority, and tags.  
5. Analytics data: This includes information about chat and support activity, such as chat volume, response times, and customer satisfaction scores.  
6. Custom data: This includes any custom data that has been added to the Zendesk Chat platform, such as custom fields or tags.  

Overall, the Zendesk Chat API provides a comprehensive set of data that can be used to analyze and improve customer support operations.

How do I transfer data from Zendesk Chat to Databricks Lakehouse?

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 Zendesk Chat as a source connector (using Auth, or usually an API key)
2. Set up Databricks Lakehouse as a destination connector
3. Define which data you want to transfer 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

The most prominent ETL tools to transfer data from Zendesk Chat to Databricks Lakehouse include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from Zendesk Chat and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Databricks Lakehouse 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.

Zendesk Chat to Databricks Lakehouse in minutes.

ETL your Zendesk Chat data into Databricks Lakehouse, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
Databricks Lakehouse
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Zendesk Chat
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Zendesk Chat
and
Databricks Lakehouse
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Select the Zendesk Chat data that you want to replicate.

The Zendesk Chat source connector can be used to sync the following tables:

Accounts
Includes account_key, billing, create_date, plan, status, and more.
Agents
AIncludes create_date, departments, display_name, display_name, email, enabled, enabled_departments, first_name, id, last_name, role_id, roles, skills, and more.
Chats
Chats
Goals
Includes attribution_model, attribution_period, description, enabled, id, name, settings, and more.
Roles
Includes description, enabled, id, members_count, name, permissions, and more.
Routing Settings
Includes routing_mode, chat_limit, skill_routing, reassignment, auto_idle, and more.

About Zendesk Chat

A software developed to optimize communication for small businesses and enterprises worldwide, Zendesk Chat is a live chat application that enables businesses to establish a more personal touch in their customer support. Designed to work on iPhone and iPad as well as computers, Zen Chat provides the ability to monitor, manage, and engage with website visitors from any location; sends notifications when visitors are on a website; features shortcuts to reduce typing time and improve agents’ response time; and more.

Start analyzing your Zendesk Chat data in minutes with the right data transformation

airbyte data transformation screenshot

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your

Zendesk Chat

data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your Databricks Lakehouse needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to

Databricks Lakehouse

.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when

Databricks Lakehouse

has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About Databricks Lakehouse

Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks combines data warehouses and data lakes into a lakehouse architecture.

Why Choose Airbyte for your Zendesk Chat and Databricks Lakehouse data integration

Airbyte is the new open-source ETL platform, and enables you to replicate your

Zendesk Chat

data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your Zendesk Chat account and destination, and your new Zendesk Chat data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source Zendesk Chat ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.

Zendesk Chat to Databricks Lakehouse in minutes

ETL your Zendesk Chat data into Databricks Lakehouse, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
Zendesk Chat
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Databricks Lakehouse
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Zendesk Chat
and
Databricks Lakehouse
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Airbyte is designed to address 100% of your Zendesk Chat database needs.

Full control over the data

The 

Zendesk Chat

 source does not alter the schema present in your database. Depending on the destination connected to this source, however, the schema may be altered.

calendar icon

Scheduled updates

Automate replications with recurring incremental updates.

Log-based incremental replication

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About Zendesk Chat

A software developed to optimize communication for small businesses and enterprises worldwide, Zendesk Chat is a live chat application that enables businesses to establish a more personal touch in their customer support. Designed to work on iPhone and iPad as well as computers, Zen Chat provides the ability to monitor, manage, and engage with website visitors from any location; sends notifications when visitors are on a website; features shortcuts to reduce typing time and improve agents’ response time; and more.

Start analyzing your Zendesk Chat data in minutes with the right data transformation

airbyte data transformation screenshot

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your Zendesk Chat data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your Databricks Lakehouse needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to Databricks Lakehouse.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when Databricks Lakehouse has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About Databricks Lakehouse

Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks combines data warehouses and data lakes into a lakehouse architecture.

Why choose Airbyte for your Zendesk Chat and Databricks Lakehouse data integration.

Airbyte is the new open-source ETL platform, and enables you to replicate your Zendesk Chat data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your

Zendesk Chat

account and destination, and your new

Zendesk Chat

data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source

Zendesk Chat

ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.