[HN Gopher] Show HN: Spice Cayenne - SQL acceleration built on V...
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       Show HN: Spice Cayenne - SQL acceleration built on Vortex
        
       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
        
       Author : lukekim
       Score  : 34 points
       Date   : 2025-12-18 19:00 UTC (7 days ago)
        
 (HTM) web link (spice.ai)
 (TXT) w3m dump (spice.ai)
        
       | gjvc wrote:
       | how does this compare to CedarDB ?
        
         | lukekim wrote:
         | CedarDB is a super cool project, we're fans!
         | 
         | CedarDB focuses on being a high-performance HTAP database
         | whereas Spice's was built from day 1 to enable high-peformance
         | data and search for data-intensive applications and AI.
         | 
         | So Spice natively has data acceleration, federation, hybrid-
         | search (vector + BM25 full-text-search), and LLM inference in
         | the core runtime so you can zero-copy data across them, which
         | you would not normally see in a database like CedarDB.
        
         | OutOfHere wrote:
         | CedarDB is not free to use beyond a size limit.
        
       | zX41ZdbW wrote:
       | Let's add Spice to ClickBench: https://benchmark.clickhouse.com/
        
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       (page generated 2025-12-25 23:00 UTC)