[Airbyte](https://airbyte.com/) is an open-core data ingestion platform that boasts 300+ pre-built connectors. One of it's focuses is on the "long tail" data sources and empowering data engineers to customize existing connectors. Many of the open-source connectors it uses are built on top of the [singer protocol](https://www.singer.io/). ## Airbyte Official Documentation https://docs.airbyte.com/ ## Airbyte Advantages - Flexibility of self-hosting or using their cloud platform - Easy to understand UI even for non-technical folks - You can create a custom connector with their no-code connector builder or low-code CDK - Large community and learning resources ## Airbyte Disadvantages - Some users report Airbyte being slow for large amounts of data - Most connectors are maintained by the community which can lead to instability ## Airbyte Learning Resources https://airbyte.com/tutorials ## [Airbyte Recent Posts](https://www.reddit.com/r/dataengineering/search/?q=airbyte&restrict_sr=1) %% wiki footer: Please don't edit anything below this line %% ## This note in GitHub <span class="git-footer">[Edit In GitHub](https://github.dev/data-engineering-community/data-engineering-wiki/blob/main/Tools/Data%20Ingestion/Airbyte.md "git-hub-edit-note") | [Copy this note](https://raw.githubusercontent.com/data-engineering-community/data-engineering-wiki/main/Tools/Data%20Ingestion/Airbyte.md "git-hub-copy-note")</span> <span class="git-footer">Was this page helpful? [👍](https://tally.so/r/mOaxjk?rating=Yes&url=https://dataengineering.wiki/Tools/Data%20Ingestion/Airbyte) or [👎](https://tally.so/r/mOaxjk?rating=No&url=https://dataengineering.wiki/Tools/Data%20Ingestion/Airbyte)</span>