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Stratum

SQL that branches and beats DuckDB on 35/46 1T benchmarks

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HN · launched Mar 12, 2026 · 12 upvotes (top 36%) · 1 view

Niche: database management systems and engines · 162 launches, 5 in the last 7 days ▼ -17% · Explore this niche →

Category and tags

  • Horizontal
  • Data infrastructure
  • Developer
  • Not AI
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

No Writing an analytical columnar database engine that implements copy-on-write branching, Java Vector API SIMD acceleration, and outperforms DuckDB is deep database systems research.

What it would actually take: The architecture consists of a custom columnar storage engine utilizing structural sharing (CoW trees) to allow zero-cost branching, combined with vectorized query execution utilizing the Java Incubator Vector API for SIMD instructions, and an embedded Postgres wire-protocol parser. The hard part is authoring custom vectorized SIMD kernels (filter, aggregate, join hash tables) and query execution planners that avoid JVM GC overhead and achieve hardware-saturating scan throughput.

Discussion

3 comments analyzed.

Competitors mentioned: DuckDB, Datahike, Proximum (HNSW vector index), Scriptum (Lucene)

Concerns raised: Columnar overhead for random access writes vs row-wise indices, Inefficient storage of fully variable strings in column format, Lack of benchmark comparisons against alternatives, Write throughput claims not yet validated in formal benchmarks

Feature requests: Better support for variable-length string storage, Online update optimization for random access write workloads

Competitors

Other products that read as similar to this one : 1689 launches clear the similarity bar, closest 8 shown.

Attention rank: #570 of 1690 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 134 days after the earliest competitor.

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