Airbyte

Airbyte

Freemium

The leading open-source data integration platform.

Data Engineering & ETL
Extract & Load

Published 29 May 2026 · Last updated 27 September 2026

Scores

Popularity4/5

Most-starred open-source EL tool; strong adoption across data engineering teams since its 2020 launch, with an active Slack community.

Learning Curve3/5

Connector-based UI is approachable, but debugging failed syncs and writing custom connectors requires deeper understanding of the platform.

Flexibility5/5

300+ pre-built connectors covering every major data source and destination; a custom connector SDK allows any source to be added.

Performance3/5

Throughput depends heavily on source API rate limits and destination write speeds; not designed for sub-minute latency or high-frequency streaming.

Portability4/5

Apache 2.0 licensed core; connector definitions are platform-agnostic and the EL pattern transfers directly to Fivetran, dlt, or custom scripts.

About Airbyte

Airbyte is a data integration platform for ELT pipelines: it extracts data from sources and loads it into warehouses, data lakes, and lakehouses, leaving transformation to tools like dbt. Its 700+ pre-built connectors cover databases, SaaS APIs, files, and streaming sources, with full-refresh, incremental, and change data capture (CDC) sync modes.

The self-hosted Core edition is free with no row or connector limits and runs on Docker or Kubernetes. The platform code is source-available under the Elastic License 2.0 (ELv2), while Airbyte's own connectors are MIT-licensed. Airbyte Cloud runs the same connectors fully managed, with credit-based Standard and Plus plans and capacity-based Pro pricing; Enterprise Flex splits the deployment, with Airbyte's control plane and the data plane inside the customer's own environment.

The connector development kit (CDK) and a low-code Connector Builder let teams add sources Airbyte doesn't ship, and many connectors come from the community, which is how the connector library grew so quickly. Airbyte is commonly paired with dbt for transformation and Airflow, Dagster, or Prefect for orchestration.

Key Features

  • 700+ pre-built source and destination connectors
  • Self-hosted (Docker/Kubernetes) or fully managed cloud
  • Python Connector Development Kit for custom connectors
  • Low-code Connector Builder for custom HTTP API sources
  • Change Data Capture (CDC) for database sources
  • Full refresh and incremental sync modes
  • Schema change detection and propagation

Pros

  • Massive connector library covering long-tail SaaS sources Fivetran doesn't support
  • Self-hosted Core is completely free with no connector or row limits
  • Active open-source community with fast connector contributions
  • Simple UI for non-engineers to set up and monitor syncs
  • CDC support for low-latency database replication

Cons

  • Cloud pricing (credit-based) can be unpredictable at scale
  • Self-hosting requires meaningful infrastructure — Kubernetes recommended for production
  • Core license is ELv2 (source-available), not fully OSI-approved open-source
  • Enterprise features (SSO, RBAC) locked behind paid tiers
  • No transformation layer of its own: pair it with dbt or SQL in the warehouse

Airbyte Pricing

Freemium
Core (Self-Hosted)Free
  • · All 700+ connectors
  • · Self-managed deployment (Docker or Kubernetes)
  • · No row or connector limits
  • · Community support only
Standard (Cloud)$20/monthly
  • · Fully managed cloud hosting
  • · 5 credits included, then $5 per credit
  • · Syncs up to once an hour
  • · Portal support
Plus (Cloud)$189/monthly
  • · 40 credits a month, with larger packages up to 2,000 credits
  • · Syncs every 15 minutes
  • · SSO and 2 workspaces
  • · Priority support with a 24-hour SLA
ProContact sales
  • · Capacity-based pricing by Data Workers
  • · RBAC and multiple workspaces
  • · Syncs every 5 minutes
  • · Row filtering, hashing, and encryption
Enterprise FlexContact sales
  • · Airbyte-managed control plane with the data plane in your own environment
  • · On-premises and multi-region options
  • · Everything in Pro
  • · Contact sales for pricing

Tech Stacks with Airbyte

Airbyte + ClickHouse + Grafana

Project

Airbyte syncs data from any source into ClickHouse, a columnar OLAP database that handles billions of rows at millisecond query speed. Grafana connects to ClickHouse for real-time dashboards and alerting. Python handles any custom ingestion scripts.

Programming

Databases

Observability

CI/CD add-on:
Containerization add-on:

Airbyte + dbt + Snowflake + Tableau

Project

Airbyte loads raw data from 300+ sources into Snowflake; dbt transforms it into documented, tested models; Tableau connects directly to Snowflake for governed self-service analytics and executive dashboards.

CI/CD add-on:
Containerization add-on:

Modern ELT Stack

Project

The standard open-source ELT pattern: Airbyte extracts and loads data from 300+ sources into Snowflake; dbt transforms raw tables into clean, tested models; Airflow (or Dagster or Prefect) schedules the whole pipeline. Docker makes the stack portable across environments.

Orchestrator:
CI/CD add-on:
Containerization add-on:

Tools Related to Airbyte

Works well with Airbyte(4)

Airbyte loads raw data into the warehouse; dbt transforms it — the canonical ELT split for modern data stacks, commonly referenced as the Modern Data Stack.

Prefect flows trigger Airbyte syncs via the Prefect-Airbyte integration block, with retries and dependency management provided by the flow runtime.

Airbyte's Kafka connector works with Redpanda without any configuration changes — the wire-compatible API means the same connector handles both brokers.

Microsoft Fabric OneLake (ADLS Gen2-compatible) is a natural Airbyte destination; teams use Airbyte to ingest from source systems into OneLake and then apply Fabric Dataflows or notebooks for transformation.

Integrates with Airbyte(9)

Official Snowflake destination using staging-based bulk inserts and schema evolution — one of the most-deployed Airbyte destinations in production.

Official Redshift destination using S3 staging and the COPY command for high-throughput bulk loads — avoids row-by-row INSERT overhead.

Official PostgreSQL destination connector; supports full refresh and incremental sync with CDC via logical replication — one of Airbyte's most-used connectors.

Official BigQuery destination; writes directly to BigQuery tables with schema migration, partitioning support, and incremental append or merge sync modes.

Official ClickHouse destination connector; inserts rows via the HTTP interface with schema inference and supports both full refresh and incremental sync.

Official Databricks destination connector; loads data directly into Delta Lake tables via the Databricks SQL connector with Unity Catalog support.

Alternatives to Airbyte(1)

Airbyte replicates Fivetran's managed connector model as open source — same EL pattern, lower per-row cost at scale, but requires self-hosting and infrastructure management.

Vendor

Tags

Self-hostableFree TierWeb

Details

Maintained
Yes
Tool type
Ingestion
Primary language
Python
Hosting
Cloud & Self-hosted
Open source
Yes
GitHub stars
22.1k
Stars updated
2026-09-23