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Airbyte

Open-source ELT with 350+ connectors — sync any source to any destination.

0Open Source
Data Integration
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Overview

Airbyte is an open-source data integration platform with 350+ pre-built connectors, allowing teams to sync data from any source to any destination — from databases and APIs to SaaS tools and data warehouses.

Key Features

  • 350+ pre-built connectors for databases, APIs, and SaaS tools
  • Airbyte Connector Development Kit (CDK) to build custom connectors in Python
  • Incremental sync with cursor-based and CDC (Change Data Capture) modes
  • Schema normalization and basic transformations at ingest
  • Airbyte Cloud for managed hosting on AWS/GCP/Azure
  • PyAirbyte for embedding sync pipelines in Python code

Real-World Workflows

Centralize SaaS data into a data warehouse

  1. 1Deploy Airbyte OSS via Docker Compose or Kubernetes
  2. 2Add a Salesforce or HubSpot source connector with OAuth credentials
  3. 3Set destination to Snowflake or BigQuery with schema prefix
  4. 4Schedule full and incremental syncs and monitor in the Airbyte UI

Replicate production database to analytics

  1. 1Add a Postgres source with CDC (logical replication) mode enabled
  2. 2Configure destination as DuckDB or Redshift
  3. 3Airbyte streams changes incrementally in near real-time
  4. 4Use dbt downstream to transform replicated raw tables

Getting Started

# Start Airbyte with Docker Compose
git clone https://github.com/airbytehq/airbyte.git
cd airbyte
./run-ab-platform.sh

# Open UI at http://localhost:8000
# Default credentials: airbyte / password

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