An open-source data integration platform to build ELT pipelines. Consolidate your data in your data warehouses, lakes and databases.

Launch websites with enterprise needs at startup speeds.

The interface is fairly beginner-friendly. You can click together a pipeline without writing code: enter the source credentials, choose a destination, hit a button, and the process starts. The barrier to entry is low - even a junior can figure it out in half an hour

Stability is a real pain. Connectors (especially the ones in Alpha/Beta) constantly fail due to timeouts or the slightest API changes on the source side. The classic "Something went wrong" in the logs - then you spend hours digging through Java stack traces only to realize the issue was a single broken character in a JSON payload. On top of that, resource consumption feels unreasonable. Airbyte spins up a separate Docker container for each sync job, so you end up with dozens of containers eating memory. Running a 16-32 GB RAM cluster just to move a couple of gigabytes of data feels like overkill. The architecture is very heavy

We use Airbyte to support 500+ data integrations in Basedash. The fact that it's open-source means that it's easy to self-host and ship custom connectors.

We used it to build our multi-platform data aggregation and analytics pipeline.

We use Airbyte to support 500+ data integrations in Basedash. The fact that it's open-source means that it's easy to self-host and ship custom connectors.

We used it to build our multi-platform data aggregation and analytics pipeline.

Airbyte

Open-source data integration

Open-source data integration

Airbyte Launches

Airbyte Launches

What's great

What needs improvement

What's great

What needs improvement