7x faster Iceberg ingestion, how we redesigned OLake's writer
Details
- External ID
- 46163603
- Source
- HN
- Company
- —
- Product
- 7x faster Iceberg ingestion, how we redesigned OLake's writer
- Website domain
- olake.io
- Launched
- Dec. 5, 2025
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.10400763358778627
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
OLake is our open-source tool for ingesting Database & Kafka data into Apache Iceberg. We recently redesigned the write pipeline and saw ~7x throughput improvements. Sharing the architecture decisions, trade-offs, and benchmarks.
Enrichment
- Theme
- database infrastructure and developer tools
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Commercial product
- Normalized one-liner
- faster iceberg data ingestion
- Manually corrected
- False
Could you build this?
No Redesigning an ultra-high-throughput ingestion pipeline for Apache Iceberg and Kafka requires deep database internals, concurrency engineering, and low-level data lake format expertise.
What it would actually take: The system requires an optimized Go or Rust engine interfacing directly with Apache Iceberg metadata specifications, parquet writing, and Kafka/CDC consumers. The core challenge lies in high-concurrency buffering, zero-copy serialization, atomic multi-partition commits, and exactly-once semantics without introducing file-compaction thrashing. This demands senior distributed systems and data engineering expertise.
Discussion
1 comment analyzed.
Competitors mentioned: Apache Airflow, Kafka, dbt, Fivetran
Concerns raised: Memory usage scaling (44-59 GB on 128 GB VM), Benchmark fairness (comparing against unnamed alternative tools), Production stability at scale, Real-world constraint handling
Feature requests: S3/GCS/HDFS ingestion optimization details, Schema evolution best practices documentation, Multi-source parallel ingestion, Dead letter queue handling for failed records
Competitors
Other products that read as similar to this one — 28 launches clear the similarity bar, closest 8 shown.
Attention rank: #28 of 29 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 37 days after the earliest competitor.
- Penca · hn · 2026-07-31 · 14 upvotes · similarity 0.46
- Public Apache Iceberg datasets via a REST catalog · hn · 2026-01-15 · 13 upvotes · similarity 0.41
- DuckDB for Kafka Stream Processing · hn · 2025-12-08 · 77 upvotes · similarity 0.38
- IceGate · hn · 2026-04-13 · 15 upvotes · similarity 0.38
- Optimize Databricks SQL · hn · 2025-10-29 · 6 upvotes · similarity 0.38
- Walrus · hn · 2025-12-01 · 160 upvotes · similarity 0.36
- Ognom · ph · 2026-09-10 · 2 upvotes · similarity 0.33
- Fast and lightweight hash implementations (xdigest) · hn · 2026-02-19 · 5 upvotes · similarity 0.33
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.