Spice Cayenne
SQL acceleration built on Vortex
Details
- External ID
- 46316991
- Source
- HN
- Company
- —
- Product
- Spice Cayenne
- Website domain
- spice.ai
- Launched
- Dec. 18, 2025
- Cohort
- —
- Upvotes
- 42
- Upvotes percentile
- 0.7929389312977099
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Hi HN, we’re Luke and Phillip, and we’re building Spice.ai OSS - a lightweight, portable data and AI engine and powered by Apache DataFusion & Ballista for SQL query, hybrid-search, and LLM-inference across disaggregated-storage used by enterprises like Barracuda Networks and Twilio.We first introduced Spice [1] on HN in 2021 and re-launched it on HN [2] in 2024 re-built from the ground up in Rust.Spice includes the concept of a Data Accelerator [3], which is a way to materialize data from disparate sources, such as other databases, in embedded databases like SQLite and DuckDB.Today we’re excited to announce a new Ducklake-inspired Data Accelerator built on Vortex [3], a highly performant, extensible columnar data format that claims 100x faster random access, 10-20x faster scans, 5x faster writes with a similar compression ratio vs. Apache Parquet.In our tests with Spice, Vortex performs faster than DuckDB with a third of the memory usage, and is much more scalable (multi-file). For real-world deployments, we see the DuckDB Data Accelerator often capping out around 1TB, but Spice Cayenne can do Petabyte-scale.You can read about it at https://spice.ai/blog and in the Spice OSS release notes [4].This is just the first version, and we’d love to get your feedback!GitHub: https://github.com/spiceai/spiceai[1] https://news.ycombinator.com/item?id=28448887[2] https://news.ycombinator.com/item?id=39854584[3] https://github.com/vortex-data/vortex[4] https://spiceai.org/blog/releases/v1.9.0
Enrichment
- Theme
- database infrastructure and developer tools
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- B2B
- AI stance
- Not AI
- Project type
- Commercial product
- Normalized one-liner
- sql query acceleration engine
- Manually corrected
- False
Could you build this?
No Spice Cayenne is a high-performance distributed SQL query acceleration engine built on Apache DataFusion, Ballista, and Apache Arrow/Vortex. Building low-latency distributed execution engines and vectorized columnar accelerators requires elite database systems engineering.
What it would actually take: The architecture involves an in-process columnar query engine written in Rust using Apache DataFusion, Arrow, and custom Vortex-compressed storage caches, alongside distributed query planning with Ballista. The hard challenges include custom vectorized execution kernels, distributed cache coherency, zero-copy deserialization, and real-time CDC sync across heterogeneous data warehouses. This requires a dedicated team of database systems and systems performance engineers.
Discussion
4 comments analyzed.
Competitors mentioned: CedarDB, ClickBench
Concerns raised: CedarDB has size limits on free tier
Competitors
Other products that read as similar to this one — 66 launches clear the similarity bar, closest 8 shown.
Attention rank: #17 of 67 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 50 days after the earliest competitor.
- Stratum · hn · 2026-03-12 · 12 upvotes · similarity 0.42
- I implemented a neural network in SQL · hn · 2026-07-13 · 121 upvotes · similarity 0.42
- Dux, distributed DuckDB-backed dataframes on the Beam · hn · 2026-03-31 · 7 upvotes · similarity 0.41
- Hosted version of Mathesar, intuitive open source UI built on Postgres · hn · 2026-06-17 · 6 upvotes · similarity 0.38
- Turbolite · hn · 2026-03-26 · 185 upvotes · similarity 0.37
- Llm.sql · hn · 2026-04-24 · 8 upvotes · similarity 0.37
- DeepSQL · hn · 2026-07-20 · 52 upvotes · similarity 0.37
- Rocky · hn · 2026-04-28 · 122 upvotes · similarity 0.37
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.