SwiftLake – Lightweight SQL Engine for Iceberg Tables
At Arcesium, we needed a way to run SQL-driven CRUD operations, manage slowly-changing dimensions, and handle schema evolution on our cloud data lakes—without the overhead of spinning up distributed clusters or relying on vendor-managed query services. That’s why we built SwiftLake, a lightweight open-source library that brings Apache Iceberg and DuckDB together: - Lightweight & cluster-free: Runs as a single Java service with embedded DuckDB—no distributed infra required. - Full CRUD and SCD1/SCD2 support: Reads, inserts/appends, updates, deletes, and merges with ACID guarantees.…
SwiftLake – Lightweight SQL Engine for Iceberg Tables launched on September 9, 2025 with 6 votes, #3,421 of 8,160 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
SwiftLake: Java SQL engine built on Apache Iceberg and DuckDB for efficient lakehouse reads and writes - arcesium/swiftlake
In the maker’s words, at launch
At Arcesium, we needed a way to run SQL-driven CRUD operations, manage slowly-changing dimensions, and handle schema evolution on our cloud data lakes—without the overhead of spinning up distributed clusters or relying on vendor-managed query services. That’s why we built SwiftLake, a lightweight open-source library…
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Hi HN, I’m one of the creators of this project. We noticed that while many developers want to experiment with Apache Iceberg the "entry cost" is often high. You usually have to set up your own storage buckets, configure a catalog (like Hive), and ingest data before you can even run a single SELECT statement. We wanted to lower that barrier. We’ve hosted a production-grade Iceberg REST Catalog on BigLake with public datasets (starting with the NYC Taxi data) that anyone can query. You can point Spark, Trino, or Flink directly at the REST endpoint and start querying immediately. You do need a…

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