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datafusion-iceberg

Apache datafusion

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GITHUB · launched Sep 9, 2026 · 8 upvotes (top 88%) · 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
  • Hobby / open-source project

Visit website ↗ Source listing ↗

More like this: all 162 launches in database management systems and engines →

Could you build this?

No Building an Apache Iceberg integration for Apache DataFusion requires deep systems-level database internals, Rust expertise, and intimate understanding of complex table format specifications.

What it would actually take: Requires an advanced Rust systems stack interfacing with Apache Arrow, DataFusion's physical and logical query planners, and Iceberg catalog specifications. The hard parts include implementing predicate pushdown, partition pruning, snapshot isolation, concurrent ACID commit handling, and vectorized Parquet file readers without data corruption. This demands senior database engine and storage format engineers with expertise in high-performance analytical distributed systems.

Competitors

Other products that read as similar to this one : 2103 launches clear the similarity bar, closest 8 shown.

Attention rank: #1800 of 2104 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

  • Data-World · github · 2026-10-13 · 19 upvotes · similarity 0.56
  • Pivot · hn · 2026-10-08 · 16 upvotes · similarity 0.55
  • duckpad · github · 2026-10-25 · 268 upvotes · similarity 0.53
  • rustberg · github · 2026-09-14 · 11 upvotes · similarity 0.53
  • Marmot · hn · 2025-12-02 · 103 upvotes · similarity 0.53
  • Togeari · github · 2026-10-20 · 12 upvotes · similarity 0.52
  • LaminarDB · hn · 2026-02-18 · 6 upvotes · similarity 0.52
  • IndexFlow · hn · 2026-08-28 · 22 upvotes · similarity 0.52

Related data

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.