airbytehq/airbyte

Analysis updated 2026-06-21

★ 21,209PythonAudience · dataComplexity · 4/5LicenseSetup · hard

Mindmap

mindmap
  root((airbyte))
    What it does
      ELT pipelines
      600+ connectors
      AI data access
    Tech Stack
      Python Java
      Docker Kubernetes
      Airflow Dagster
    Use Cases
      Data warehousing
      AI agent data feeds
      Custom connectors
    Audience
      Data engineers
      AI developers
    Deployment
      Self-hosted
      Airbyte Cloud

mindmap root((airbyte)) What it does ELT pipelines 600+ connectors AI data access Tech Stack Python Java Docker Kubernetes Airflow Dagster Use Cases Data warehousing AI agent data feeds Custom connectors Audience Data engineers AI developers Deployment Self-hosted Airbyte Cloud

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What do people build with it?

USE CASE 1

Copy data from Salesforce, Stripe, and PostgreSQL into your Snowflake data warehouse on a nightly schedule.

USE CASE 2

Give a LangChain or OpenAI agent live access to CRM and support ticket data using Airbyte's Agent SDK.

USE CASE 3

Build a custom connector for an internal API using Airbyte's no-code Connector Builder, without writing Python.

USE CASE 4

Self-host a complete ELT pipeline on your own servers to keep sensitive business data off third-party services.

What is it built with?

PythonJavaDockerKubernetesAirflowDagsterLangChain

How does it compare?

	airbytehq/airbyte	openai/chatgpt-retrieval-plugin	rasahq/rasa
Stars	21,209	21,210	21,153
Language	Python	Python	Python
Setup difficulty	hard	hard	hard
Complexity	4/5	4/5	4/5
Audience	data	developer	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1h+

Requires Docker Compose or Kubernetes for self-hosted deployment, full setup involves configuring source and destination connectors.

Core is MIT licensed (free for any use), some components are under Elastic License v2, which prohibits offering Airbyte itself as a managed cloud service.

In plain English

Airbyte is an open-source data movement platform designed to copy data from sources like APIs, databases, and files into destinations like data warehouses, data lakes, and databases. This kind of data pipeline is often called ELT (Extract, Load, Transform). Airbyte provides a catalog of 600+ pre-built connectors covering popular services and databases, and also lets you build new connectors using a no-code Connector Builder or a low-code SDK. It can be self-hosted (deployed on your own infrastructure) or used via Airbyte Cloud. Syncs can be orchestrated through integrations with tools like Airflow, Dagster, or Kestra, or via its own API. Beyond traditional data warehousing use cases, Airbyte also offers an Agent SDK that lets AI agents and LLM applications access live business data from CRMs, support tools, SaaS APIs, and databases in real time. The Agent SDK integrates with frameworks like LangChain, OpenAI Agents, pydantic-ai, and FastMCP. The project is MIT and Elastic License v2 licensed, has an active community on Slack, and its roadmap is publicly visible on GitHub. Enterprise features are available for larger organizations.

Copy-paste prompts

Prompt 1

I want to sync my Stripe payment data into BigQuery every hour using self-hosted Airbyte. Walk me through setting it up with Docker Compose, configuring the Stripe source and BigQuery destination, and scheduling the sync.

Prompt 2

I'm building a LangChain agent that needs live access to our Salesforce CRM. Show me how to use Airbyte's Agent SDK to connect it so the agent can query account and contact data in real time.

Prompt 3

Using Airbyte's Connector Builder, help me create a no-code connector for a REST API that uses API key auth and returns paginated JSON results, what fields do I fill in and how do I test it?

Prompt 4

I have Airbyte running on Kubernetes. How do I configure an Airflow DAG to trigger Airbyte syncs, and how do I monitor sync status from Airflow?

Frequently asked questions

What is airbyte?

An open-source data pipeline platform with 600+ pre-built connectors to move data from APIs and databases into data warehouses, plus an Agent SDK for giving AI apps live access to business data.

What language is airbyte written in?

Mainly Python. The stack also includes Python, Java, Docker.

What license does airbyte use?

Core is MIT licensed (free for any use), some components are under Elastic License v2, which prohibits offering Airbyte itself as a managed cloud service.

How hard is airbyte to set up?

Setup difficulty is rated hard, with roughly 1h+ to a first successful run.

Who is airbyte for?

Mainly data.

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