How to load data from ConfigCat to Kafka

Learn how to use Airbyte to synchronize your ConfigCat data into Kafka within minutes.

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Set up a ConfigCat connector in Airbyte

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

Set up Kafka for your extracted ConfigCat data

Select Kafka where you want to import data from your ConfigCat source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the ConfigCat to Kafka 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.

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TL;DR

set up ConfigCat as a source connector (using Auth, or usually an API key)
set up Kafka as a destination connector
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.

This tutorial’s purpose is to show you how.

What is ConfigCat

ConfigCat is a hosted service for feature flag and configuration management. It lets you decouple feature releases from code deployments. Config Cat offers a beautiful easy to understand UI. It has complete a lot of features and more than just enabling and disabling flags. Configcat supplied us with the capability we required for both environment and user specific feature mapping. ConfigCat provides a Supervisor that must be attached to your applications supervision tree and an API for accessing your ConfigCat.

What is Kafka

A communication solutions agency, Kafka is a cloud-based / on-prem distributed system offering social media services, public relations, and events. For event streaming, three main functionalities are available: the ability to (1) subscribe to (read) and publish (write) streams of events, (2) store streams of events indefinitely, durably, and reliably, and (3) process streams of events in either real-time or retrospectively. Kafka offers these capabilities in a secure, highly scalable, and elastic manner.

Integrate ConfigCat with Kafka in minutes

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Prerequisites

A ConfigCat account to transfer your customer data automatically from.
A Kafka account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including ConfigCat and Kafka, for seamless data migration.

When using Airbyte to move data from ConfigCat to Kafka, it extracts data from ConfigCat using the source connector, converts it into a format Kafka can ingest using the provided schema, and then loads it into Kafka via the destination connector. This allows businesses to leverage their ConfigCat data for advanced analytics and insights within Kafka, simplifying the ETL process and saving significant time and resources.

Step 1: Set up ConfigCat as a source connector

1. First, you need to obtain your ConfigCat API credentials. You can do this by logging in to your ConfigCat account and navigating to the API credentials section. Here, you will find your API key and secret key.
2. Next, open the Airbyte platform and navigate to the Sources tab. Click on the "Create a new source" button and select ConfigCat from the list of available connectors.
3. In the ConfigCat source configuration page, enter a name for your source and paste your API key and secret key in the appropriate fields.
4. You can also choose to enable SSL verification and set a timeout for the API requests.
5. Once you have entered all the required information, click on the "Test connection" button to ensure that Airbyte can successfully connect to your ConfigCat account.
6. If the connection is successful, click on the "Create source" button to save your ConfigCat source configuration.
7. You can now use this source to extract data from your ConfigCat account and integrate it with other tools and platforms using Airbyte's powerful data integration capabilities.

Step 2: Set up Kafka as a destination connector

1. First, you need to have an Apache Kafka destination connector installed on your system. If you don't have it, you can download it from the Apache Kafka website.
2. Once you have the Apache Kafka destination connector installed, you need to create a new connection in Airbyte. To do this, go to the Connections tab and click on the "New Connection" button. 3. In the "New Connection" window, select "Apache Kafka" as the destination connector and enter the required connection details, such as the Kafka broker URL, topic name, and authentication credentials.
4. After entering the connection details, click on the "Test Connection" button to ensure that the connection is working properly.
5. If the connection test is successful, click on the "Save" button to save the connection.
6. Once the connection is saved, you can create a new pipeline in Airbyte and select the Apache Kafka destination connector as the destination for your data.
7. In the pipeline configuration, select the connection you created in step 3 as the destination connection.
8. Configure the pipeline to map the source data to the appropriate Kafka topic and fields.
9. Once the pipeline is configured, you can run it to start sending data to your Apache Kafka destination.

Step 3: Set up a connection to sync your ConfigCat data to Kafka

Once you've successfully connected ConfigCat as a data source and Kafka as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select ConfigCat from the dropdown list of your configured sources.
Select your destination: Choose Kafka from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific ConfigCat objects you want to import data from towards Kafka. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from ConfigCat to Kafka according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Kafka data warehouse is always up-to-date with your ConfigCat data.

Use Cases to transfer your ConfigCat data to Kafka

Integrating data from ConfigCat to Kafka provides several benefits. Here are a few use cases:

Advanced Analytics: Kafka’s powerful data processing capabilities enable you to perform complex queries and data analysis on your ConfigCat data, extracting insights that wouldn't be possible within ConfigCat alone.
Data Consolidation: If you're using multiple other sources along with ConfigCat, syncing to Kafka allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: ConfigCat has limits on historical data. Syncing data to Kafka allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Kafka provides robust data security features. Syncing ConfigCat data to Kafka ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Kafka can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding ConfigCat data.
Data Science and Machine Learning: By having ConfigCat data in Kafka, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While ConfigCat provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Kafka, providing more advanced business intelligence options. If you have a ConfigCat table that needs to be converted to a Kafka table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a ConfigCat account as an Airbyte data source connector.
Configure Kafka as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from ConfigCat to Kafka after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

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How to Sync ConfigCat to Kafka Manually

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Step 8:

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 ConfigCat?

What data can you extract from ConfigCat?

ConfigCat's API provides access to various types of data related to feature flags and configuration management. The following are the categories of data that can be accessed through the API:

- Feature flags: The API provides access to all the feature flags created in ConfigCat, including their name, description, and status (enabled or disabled).
- Configurations: The API allows access to the configurations associated with each feature flag, including their values and data types.
- Environments: The API provides access to the environments created in ConfigCat, including their name and description.
- User targeting: The API allows access to the user targeting rules associated with each feature flag, including their conditions and percentage rollout.
- Analytics: The API provides access to the analytics data related to feature flags, including the number of evaluations, impressions, and conversions.
- Integrations: The API allows access to the integrations configured in ConfigCat, including their name and status.

Overall, ConfigCat's API provides a comprehensive set of data related to feature flags and configuration management, enabling developers to easily manage and monitor their feature flags and configurations.

How do I transfer data from ConfigCat?

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 ConfigCat to Kafka 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 ConfigCat to Kafka 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 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.

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Databases

Product Analytics

How to load data from ConfigCat to Kafka

Learn how to use Airbyte to synchronize your ConfigCat data into Kafka within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 1: Setup ConfigCat

Step 2: Setup Kafka

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between ConfigCat and Kafka

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up ConfigCat as a source connector (using Auth, or usually an API key)
set up Kafka as a destination connector
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.

This tutorial’s purpose is to show you how.

What is ConfigCat

What is Kafka

Integrate ConfigCat with Kafka in minutes

Try for free now

Prerequisites

A ConfigCat account to transfer your customer data automatically from.
A Kafka account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Step 1: Set up ConfigCat as a source connector

Step 2: Set up Kafka as a destination connector

Step 3: Set up a connection to sync your ConfigCat data to Kafka

Once you've successfully connected ConfigCat as a data source and Kafka as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select ConfigCat from the dropdown list of your configured sources.
Select your destination: Choose Kafka from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific ConfigCat objects you want to import data from towards Kafka. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from ConfigCat to Kafka according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Kafka data warehouse is always up-to-date with your ConfigCat data.

Use Cases to transfer your ConfigCat data to Kafka

Integrating data from ConfigCat to Kafka provides several benefits. Here are a few use cases:

Advanced Analytics: Kafka’s powerful data processing capabilities enable you to perform complex queries and data analysis on your ConfigCat data, extracting insights that wouldn't be possible within ConfigCat alone.
Data Consolidation: If you're using multiple other sources along with ConfigCat, syncing to Kafka allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: ConfigCat has limits on historical data. Syncing data to Kafka allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Kafka provides robust data security features. Syncing ConfigCat data to Kafka ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Kafka can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding ConfigCat data.
Data Science and Machine Learning: By having ConfigCat data in Kafka, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While ConfigCat provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Kafka, providing more advanced business intelligence options. If you have a ConfigCat table that needs to be converted to a Kafka table, Airbyte can do that automatically.