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datazip-inc/olake

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OLake - Fastest Databases, Kafka & S3 Replication to Apache Iceberg with Table optimization (Called OLake Fusion). ⚡ Efficient, quick and scalable data ingestion for real-time analytics. Supported sources : Postgres, MongoDB, MySQL, Oracle, MSSql, DB2, Kafka, S3.

12 mentions on Hacker News by 6 people: 8 stories, 4 comments · first 2025-01-15 · latest 2026-10-29

Mentions per year 12 mentions · busiest year 2025 (9)
20082026
  1. ▲ 3
    Show HN: OLake – Open-Source Postgres/MySQL/MongoDB CDC to Apache Iceberg
    story by rohankhameshra · 2026-10-29 · 1 comment
  2. ▲ 2
    Keeping Lakehouses Open-Source
    story by findmeinmysongs · 2026-10-08 · 1 comment
  3. …looking into olake[0] to serve the same purpose. What would you say differentiates Streambed? [0] https://github.com/datazip-inc/olake
  4. Clicky: https://github.com/datazip-inc/olake/
  5. ▲ 2
    We built the fastest data replication tool in the world using Go
    story by Cappybara12 · 2025-09-29 · 1 comment
  6. ▲ 3
    Debezium to olake.io – PhysicsWallah switch for CDC
    story by pkhodiyar · 2025-04-30 · 1 comment
  7. ▲ 5
    Data Partitioning in Apache Iceberg, demo time
    story by pkhodiyar · 2025-04-22 · 2 comments
  8. ▲ 2
    Postgres dump to Apache Iceberg, OLake got one step closer
    story by pkhodiyar · 2025-03-13 · 1 comment
  9. …and writers are independent, meaning that after Apache Iceberg writers are being supported (PR - https://github.com/datazip-inc/olake/pull/113 ), any new connector will be able to dump to Iceberg with minimal changes!
  10. ▲ 2
    Support for Parquet writer to S3 and local storage in OLake
    story by pkhodiyar · 2025-02-13 · 0 comments
  11. ▲ 14
    Show HN: OLake[open source] Fastest database to Iceberg data replication tool
    story by pkhodiyar · 2025-02-10 · 3 comments
  12. …to Data LakeHouse (Apache Iceberg to start) data pipeline. Checkout GtiHub repository for OLake - https://github.com/datazip-inc/olake Over time, many of us who’ve worked with data pipelines have dealt with the toil of building one-off ETL…