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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 the destination you want that data to be loaded.
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.
Configure the connection in Airbyte
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
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- 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
Reliability at every level
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
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- 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
Reliability at every level
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
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- 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
Reliability at every level
Move large volumes, fast.
Change Data Capture.
Security from source to destination.
We support the CDC methods your company needs
Log-based CDC
Timestamp-based CDC
Airbyte Open Source
Airbyte Cloud
Airbyte Enterprise
Why choose Airbyte as the backbone of your data infrastructure?
Keep your data engineering costs in check
Get Airbyte hosted where you need it to be
- 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
Including for your Airbyte Open Source instance with our premium support.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
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.
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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.
1. Feature Flags: The API allows you to extract information about the feature flags that have been created in Flagsmith. This includes the name of the flag, its description, and its current state (enabled or disabled).
2. User Segments: You can also extract data about the user segments that have been defined in Flagsmith. This includes the name of the segment, the criteria used to define it, and the number of users that belong to it.
3. Environments: The API provides information about the environments that have been set up in Flagsmith. This includes the name of the environment, its description, and its current state (active or inactive).
4. Projects: You can extract data about the projects that have been created in Flagsmith. This includes the name of the project, its description, and the number of environments and feature flags associated with it.
5. Metrics: The API allows you to extract metrics data about your feature flags, such as the number of times a flag has been enabled or disabled, the number of users that have seen a flag, and the number of times a flag has been evaluated.
6. Integrations: You can also extract data about the integrations that have been set up in Flagsmith. This includes the name of the integration, its description, and the current state of the integration (active or inactive).
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.
1. Feature Flags: The API allows you to extract information about the feature flags that have been created in Flagsmith. This includes the name of the flag, its description, and its current state (enabled or disabled).
2. User Segments: You can also extract data about the user segments that have been defined in Flagsmith. This includes the name of the segment, the criteria used to define it, and the number of users that belong to it.
3. Environments: The API provides information about the environments that have been set up in Flagsmith. This includes the name of the environment, its description, and its current state (active or inactive).
4. Projects: You can extract data about the projects that have been created in Flagsmith. This includes the name of the project, its description, and the number of environments and feature flags associated with it.
5. Metrics: The API allows you to extract metrics data about your feature flags, such as the number of times a flag has been enabled or disabled, the number of users that have seen a flag, and the number of times a flag has been evaluated.
6. Integrations: You can also extract data about the integrations that have been set up in Flagsmith. This includes the name of the integration, its description, and the current state of the integration (active or inactive).
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.
1. Feature Flags: The API allows you to extract information about the feature flags that have been created in Flagsmith. This includes the name of the flag, its description, and its current state (enabled or disabled).
2. User Segments: You can also extract data about the user segments that have been defined in Flagsmith. This includes the name of the segment, the criteria used to define it, and the number of users that belong to it.
3. Environments: The API provides information about the environments that have been set up in Flagsmith. This includes the name of the environment, its description, and its current state (active or inactive).
4. Projects: You can extract data about the projects that have been created in Flagsmith. This includes the name of the project, its description, and the number of environments and feature flags associated with it.
5. Metrics: The API allows you to extract metrics data about your feature flags, such as the number of times a flag has been enabled or disabled, the number of users that have seen a flag, and the number of times a flag has been evaluated.
6. Integrations: You can also extract data about the integrations that have been set up in Flagsmith. This includes the name of the integration, its description, and the current state of the integration (active or inactive).
1. First, navigate to the Flagsmith source connector page on Airbyte.com.
2. Click on the "Create new connection" button.
3. In the "Connection name" field, enter a name for your connection.
4. In the "API Key" field, enter your Flagsmith API key.
5. In the "Environment ID" field, enter the ID of the environment you want to connect to.
6. Click on the "Test" button to ensure that your credentials are correct and the connection is successful.
7. If the test is successful, click on the "Create" button to save your connection.
8. You can now use this connection to create a new sync in Airbyte and start syncing your Flagsmith data with your destination of choice.
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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