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airbytehq

airbytehq/airbyte

Open-source data movement platform for ELT pipelines, moving data from APIs, databases and files into warehouses, lakes and AI applications.

Open-source alternative to:FivetranStitch

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What is it?

Airbyte is an open-source data integration platform for moving data from a source to a destination. It ships a catalog of 600+ connectors covering APIs, databases, data warehouses, data lakes and AI applications, and it can be self-hosted or used through Airbyte Cloud.

The main use case is ELT and ETL: centralizing data from SaaS tools and databases into warehouses such as Snowflake, BigQuery and Redshift, or into lakes and Postgres/MySQL/MSSQL targets. Connectors can be built without code using the Connector Builder, or with the low-code CDK. Syncs can be orchestrated from Airflow, Dagster, Kestra or the Airbyte API.

The project also offers a separate open-source Agent SDK for giving AI agents typed access to business data as LLM tools, which works with pydantic-ai, LangChain, OpenAI Agents and FastMCP.

Key features

  • 01Catalog of 600+ connectors for APIs, databases, warehouses and lakes
  • 02No-code Connector Builder and low-code CDK for custom connectors
  • 03Supports change data capture for database sources
  • 04Orchestration integrations with Airflow, Dagster and Kestra
  • 05Self-hosted deployment or Airbyte Cloud

Use cases

  • Centralizing SaaS and database data into a Snowflake or BigQuery warehouse
  • Building a data lake ingestion pipeline from APIs and files
  • Adding a custom connector for an internal or long-tail data source
  • Feeding business data to AI agents through the open-source Agent SDK

Quick start

  1. 1

    Deploy Airbyte Open Source (see the deployment guide)

  2. 2

    Or install the open-source Agent SDK for AI agents

    uv pip install airbyte-agent-sdk

Things to know

  • The README mentions both MIT and ELv2 licenses, so licensing terms need careful review.
  • The repo has no single clear license, and the license is marked as unspecified in the metadata.
  • Self-hosting Airbyte Open Source requires deploying and maintaining the platform yourself; the README links to a deployment guide rather than a one-line setup.

Topics

#data-integration#elt#etl#data-pipeline#change-data-capture#data-engineering#bigquery#data#data-analysis#data-collection

FAQ

What is airbyte?
Open-source data movement platform for ELT pipelines, moving data from APIs, databases and files into warehouses, lakes and AI applications. Airbyte is an open-source data integration platform for moving data from a source to a destination. It ships a catalog of 600+ connectors covering APIs, databases, data warehouses, data lakes and AI applications, and it can be self-hosted or used through Airbyte Cloud.
Is airbyte free to use? What license does it have?
airbyte is open source under the Other license. Check the license terms before using it in commercial products.
Is airbyte still maintained?
Actively maintained. The last commit to airbyte was on Oct 19, 2026.
What can I use airbyte for?
Centralizing SaaS and database data into a Snowflake or BigQuery warehouse Building a data lake ingestion pipeline from APIs and files Adding a custom connector for an internal or long-tail data source Feeding business data to AI agents through the open-source Agent SDK
How do I install airbyte?
Deploy Airbyte Open Source (see the deployment guide) Or install the open-source Agent SDK for AI agents: uv pip install airbyte-agent-sdk
Where can I get airbyte?
The source code and installation instructions are on GitHub: https://github.com/airbytehq/airbyte

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