Top companies trust Airbyte to centralize their Data
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 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.
Configure the connection in Airbyte
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
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.
Keen is a powerful analytics tool that helps businesses and organizations to collect, analyze, and visualize data from various sources. It is a cloud-based platform that provides real-time insights into customer behavior, product usage, and business performance. Keen allows users to create custom dashboards, reports, and visualizations that can be easily shared with team members and stakeholders. The tool is designed to be flexible and scalable, allowing users to collect data from a wide range of sources, including web and mobile applications, IoT devices, and third-party services. Keen also provides a range of APIs and SDKs that make it easy to integrate with other tools and platforms. One of the key features of Keen is its ability to handle large volumes of data in real-time. This makes it ideal for businesses that need to make quick decisions based on up-to-date information. Keen also provides advanced analytics capabilities, such as predictive modeling and machine learning, which can help businesses to identify trends and patterns in their data. Overall, Keen is a powerful tool that can help businesses to gain valuable insights into their customers, products, and operations. Its flexibility, scalability, and advanced analytics capabilities make it a valuable asset for any organization looking to make data-driven decisions.
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.
Keen is a powerful analytics tool that helps businesses and organizations to collect, analyze, and visualize data from various sources. It is a cloud-based platform that provides real-time insights into customer behavior, product usage, and business performance. Keen allows users to create custom dashboards, reports, and visualizations that can be easily shared with team members and stakeholders. The tool is designed to be flexible and scalable, allowing users to collect data from a wide range of sources, including web and mobile applications, IoT devices, and third-party services. Keen also provides a range of APIs and SDKs that make it easy to integrate with other tools and platforms. One of the key features of Keen is its ability to handle large volumes of data in real-time. This makes it ideal for businesses that need to make quick decisions based on up-to-date information. Keen also provides advanced analytics capabilities, such as predictive modeling and machine learning, which can help businesses to identify trends and patterns in their data. Overall, Keen is a powerful tool that can help businesses to gain valuable insights into their customers, products, and operations. Its flexibility, scalability, and advanced analytics capabilities make it a valuable asset for any organization looking to make data-driven decisions.
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.
Keen is a powerful analytics tool that helps businesses and organizations to collect, analyze, and visualize data from various sources. It is a cloud-based platform that provides real-time insights into customer behavior, product usage, and business performance. Keen allows users to create custom dashboards, reports, and visualizations that can be easily shared with team members and stakeholders. The tool is designed to be flexible and scalable, allowing users to collect data from a wide range of sources, including web and mobile applications, IoT devices, and third-party services. Keen also provides a range of APIs and SDKs that make it easy to integrate with other tools and platforms. One of the key features of Keen is its ability to handle large volumes of data in real-time. This makes it ideal for businesses that need to make quick decisions based on up-to-date information. Keen also provides advanced analytics capabilities, such as predictive modeling and machine learning, which can help businesses to identify trends and patterns in their data. Overall, Keen is a powerful tool that can help businesses to gain valuable insights into their customers, products, and operations. Its flexibility, scalability, and advanced analytics capabilities make it a valuable asset for any organization looking to make data-driven decisions.
1. First, navigate to the Keen destination connector on Airbyte's website.
2. Click on the "Get Started" button to begin the setup process.
3. Enter your Keen API credentials, including your Project ID and Write Key.
4. Choose the tables you want to sync from your Keen project.
5. Map the fields from your source data to the corresponding fields in Keen.
6. Test the connection to ensure that the data is being synced correctly.
7. Once you have verified that the data is being synced correctly, you can schedule the sync to run automatically at regular intervals.
8. You can also monitor the sync status and view any errors or warnings that may occur during the sync process.
9. If you need to make any changes to the sync settings, you can easily do so by navigating back to the Keen destination connector on Airbyte's website and adjusting the settings as needed.
10. Finally, you can use the synced data in Keen to gain insights and make data-driven decisions for your business.
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.
