An open-source EL(T) tool that replicates data from third-party apps, databases, warehouses, and external APIs to cloud data warehouses, lakes, and databases.

Open Source

What need does Airbyte fulfill?

Airbyte caters to the ELT needs of modern data teams.

ELT or Extract, Load, Transform refers to extracting data from production databases and external apps, loading the data into a cloud data warehouse, and post that, transforming the data to derive insights and drive action.

Airbyte supports a range of pre-built connectors and offers a Connector Development Kit, allowing one to build custom source connectors. Additionally, it integrates with dbt for post-load transformations as well as with Airflow for pipeline orchestration.

What are the benefits of using Airbyte?

    Makes data from third-party tools available in your data warehouse, lake, or database to power analytics and activation
    Allows data teams to move fast without worrying about writing and maintaining code for custom pipelines
    Replicates data accurately from databases to data warehouses, lakes and databases via log-based Change Data Capture
    Enables teams to customize any pre-built connector to their specific needs
    Provides autonomy for high-priority issues instead of waiting on vendor support

What are the core features of Airbyte?

    Open source platform that comes with a Connector Development Kit
    Self-hosting and cloud deployment options available
    Automated connectors for cloud apps and databases
    Destination support for all major cloud data warehouses, lakes, and databases
    Log-based CDC for database replication
    Post-load dbt-based transformation

Which teams does Airbyte cater to?

Data Engineering
Analytics Engineering

Authored By

John Lafleur's profile on Astorik

John Lafleur

Co-founder & COO at Airbyte