Airbyte
An open-source data movement platform with hundreds of connectors for ELT pipelines from APIs, databases and files into warehouses, lakes and AI applications.
- GitHub stars
- 22k
- Last commit
- today
- Latest release
- v2.0.0
- Self-hosted
- Yes
- Hosted version
- Available

Airbyte is an open-source data movement platform for moving data from APIs, databases and files into data warehouses, data lakes and AI applications. Its premise is that only an open-source project can reach the long tail of data sources while letting engineers tailor existing connectors, with the aim of moving data from any source to any destination.
It offers a catalog of 600 or more connectors for APIs, databases, warehouses, lakes and AI applications, with warehouse destinations such as BigQuery, Redshift and Snowflake, and topics also mention change data capture. The README distinguishes products by job: Airbyte Open Source or Airbyte Cloud for ELT and ETL into warehouses, lakes or databases, and Airbyte Agents, a managed data and context layer, plus an open-source Agent SDK for giving AI agents and MCP clients real-time access to business data.
Airbyte is written in Python and Java, and its license is listed as 'Other' on GitHub because the project uses a mix of licenses, so review the terms for your use. It can be self-hosted or run as the managed Airbyte Cloud, and suits data teams that need many integrations without writing each pipeline by hand.
Key features
- 600+ source and destination connectors
- ELT pipelines into warehouses and lakes
- Change data capture support
- Customizable open-source connectors
- Agent SDK for AI agent data access
- Self-hosted or Airbyte Cloud
Pricing: The open-source Core edition is free to self-host. Managed cloud starts at $20 a month (Standard) or $189 a month for 40 credits (Plus); Pro and Enterprise Flex are custom. 30-day trial.
