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Awesome Opensource Data Engineering
Find open-source projects related to data engineering in this community-curated list.

About Awesome Opensource Data Engineering
This GitHub repository is a curated list of open-source projects related to data engineering. It groups projects into sections such as analytics, business intelligence, data lakehouse formats, change data capture, datastores, data governance, and stream processing. Each listed project has a short one-line description.
The list is a community effort, and people can suggest additions by sending pull requests. It covers open-source tools only. For non-open-source tools, the list points to a separate Awesome List. The entries are brief and do not compare or rate the projects.
Key features
- Projects grouped by data engineering function, such as analytics and stream processing
- One-line description for each listed project
- Query engines including Trino, Apache Flink, and Apache Drill
- Lakehouse table formats including Delta Lake, Apache Hudi, and Apache Iceberg
- Change data capture tools such as Debezium and Maxwell
- Related slide decks, recordings, podcasts, and blog posts
- Community-maintained, with contributions accepted through pull requests
- Projects are organized by data engineering function
- Scope is stated clearly: open-source projects only
- Entries are brief one-line descriptions without comparisons or ratings
- Non-open-source tools are not included and are covered by a separate list
Awesome Opensource Data Engineering at a glance
- Category
- Development › Web Directories & Curated Lists
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Awesome Opensource Data Engineering FAQ
Does the list include tools that are not open source?
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