[opensourcedex]

best-of ranking · updated nightly

Best Open Source Data Engineering & Integration Tools

Ranked by GitHub stars — actual adoption, not editorial taste. All 10 are free, open source and self-hostable; license and last activity on every entry.

  1. 1
    Airbyte ★ 22K

    Open-source data integration for modern teams

    NOASSERTION Python pushed 2026-09-17 details →
  2. 2
    Cube ★ 21K

    Unify data models and metrics across your entire stack

    NOASSERTION Rust pushed 2026-09-17 details →
  3. 3
    shardingsphere ★ 21K

    Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.

    Apache-2.0 Java pushed 2026-09-17 details →
  4. 4
    debezium ★ 13K

    Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.

    Apache-2.0 Java pushed 2026-09-17 details →
  5. 5
    CocoIndex ★ 12K

    Ultra-fast data transformation for AI with lineage

    Apache-2.0 Rust pushed 2026-09-16 details →
  6. 6
    seatunnel ★ 9.7K

    SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

    Apache-2.0 Java pushed 2026-09-17 details →
  7. 7
    steampipe ★ 8.0K

    Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.

    AGPL-3.0 Go pushed 2026-09-17 details →
  8. 8
    realtime ★ 7.6K

    Broadcast, Presence, and Postgres Changes via WebSockets

    Apache-2.0 Elixir pushed 2026-09-17 details →
  9. 9
    CloudQuery ★ 6.5K

    Sync and transform data from any source to any destination

    MPL-2.0 Go pushed 2026-09-17 details →
  10. 10
    flink-cdc ★ 6.5K

    Flink CDC is a streaming data integration tool

    Apache-2.0 Java pushed 2026-09-17 details →
method stars desc · snapshot from github api refresh nightly related Business Intelligence & Reporting, Data Extraction & Web Scraping, Data Warehousing & Processing, Web & Product Analytics

Related best-of lists

best Business Intelligence & Reporting →best Data Extraction & Web Scraping →best Data Warehousing & Processing →best Web & Product Analytics →

last updated nightly · ranking method: github stars, live-tracked

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Frequently asked questions

What is the best open source Data Engineering & Integration tool in 2026?

Airbyte leads the ranking with 22,082 GitHub stars, ahead of Cube. Rankings use live GitHub star counts, refreshed nightly.

How is this list of Data Engineering & Integration tools ranked?

By GitHub stars — a proxy for adoption and community size. Each entry also shows its licence, primary language and last commit date, so you can judge maintenance activity rather than trusting the ranking alone.

Are the best Data Engineering & Integration tools free?

Every project on this list is open source and free to self-host. Some also offer paid managed hosting, but the software itself carries no licence fee.