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

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.

Groundbreaking tool for building connectors to our data pipelines.

Airbyte

Open-source data integration

Open-source data integration

Airbyte Reviews

The community submitted 5 reviews to tell us what they like about Airbyte, what Airbyte can do better, and more.

What's great

What needs improvement