[{"data":1,"prerenderedAt":162},["ShallowReactive",2],{"project-46316991":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":27,"sentiment":28,"stance_mix":29,"scored_comments":31,"aspects":32,"strip":35,"post_text":37,"what":38,"said":73,"maker_in_thread":106,"shape":112,"grid":115,"attempts":124,"same_week":125,"maker_shows":15,"maker_hidden":155,"reader_version":156,"card":157},"46316991","Spice Cayenne","SQL acceleration built on Vortex","title","Show HN: Spice Cayenne – SQL acceleration built on Vortex","https:\u002F\u002Fspice.ai\u002Fblog\u002Fintroducing-spice-cayenne-data-accelerator","spice.ai","lukekim",1766084456,2025,42,4,1388,3837,37,"shown","data","data accelerator","library",[24,25,21,26],"sql acceleration","vortex format","duckdb alternative","quiet",null,{"positive":30,"neutral":31,"mixed":30,"critical":30},0,2,{"performance":33,"idea":34},{"positive":30,"critical":30},{"positive":30,"critical":30},[36,36,30,30],3,"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.\n\nWe 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.\n\nSpice 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.\n\nToday we’r",{"problem":39,"audience":45,"pricing":28,"motivation":49,"time_to_build":28,"stack":53,"openness":70,"stage":71,"team_size":72},{"value":40,"source":41,"evidence":42},"Materializing data from disparate sources into fast embedded storage for SQL queries","maker",[43],{"id":44},"post",{"value":46,"source":41,"evidence":47},"Enterprises running data-intensive applications and AI workloads",[48],{"id":44},{"value":50,"source":41,"evidence":51},"Handle petabyte-scale data beyond DuckDB accelerator's roughly 1TB practical limit",[52],{"id":44},[54,58,62,66],{"value":55,"source":41,"evidence":56},"Rust",[57],{"id":44},{"value":59,"source":41,"evidence":60},"Apache DataFusion",[61],{"id":44},{"value":63,"source":41,"evidence":64},"Apache Ballista",[65],{"id":44},{"value":67,"source":41,"evidence":68},"Vortex",[69],{"id":44},"open_source","launched","unknown",{"praise":74,"objections":83,"requests":84,"questions":89,"alternatives":97},[75],{"value":76,"source":77,"evidence":78},"Interest in benchmarking against ClickBench","commenter",[79],{"id":80,"by":81,"text":82},"46387338","zX41ZdbW","Let's add Spice to ClickBench: https:\u002F\u002Fbenchmark.clickhouse.com\u002F",[],[85],{"value":86,"source":77,"evidence":87},"Add Spice to ClickBench benchmark",[88],{"id":80,"by":81,"text":82},[90],{"value":91,"source":77,"evidence":92},"How does it compare to CedarDB",[93],{"id":94,"by":95,"text":96},"46317224","gjvc","how does this compare to CedarDB ?",[98],{"value":99,"source":77,"evidence":100},"CedarDB",[101,102],{"id":94,"by":95,"text":96},{"id":103,"by":104,"text":105},"46320463","OutOfHere","CedarDB is not free to use beyond a size limit.",{"comments":107,"answered":107,"key":108},1,[109],{"id":110,"text":111},"46317514","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…",{"commenters":15,"max_depth":31,"maker_replies":107,"first_comment_mins":113,"lifespan_hours":114},19,171,[116,118,120,122],[80,30,36,117,81,30],"project\u002Fneutral\u002Fperformance",[94,107,36,119,95,30],"project\u002Fneutral\u002Fidea",[110,107,30,121,11,107],"maker\u002Fneutral\u002Fidea",[103,107,30,123,104,30],"other\u002Fneutral\u002Fpricing",[],[126,131,136,141,145,150],{"id":127,"name":128,"points":129,"category":130},"46339600","Jmail",1557,"other",{"id":132,"name":133,"points":134,"category":135},"46345897","Books mentioned on Hacker News in 2025",613,"learning_science",{"id":137,"name":138,"points":139,"category":140},"46378554","textarea",468,"productivity",{"id":142,"name":143,"points":144,"category":140},"46345745","WalletWallet",448,{"id":146,"name":147,"points":148,"category":149},"46377597","Vibium",443,"dev_tools",{"id":151,"name":152,"points":153,"category":154},"46344573","Gaming Couch",437,"games",false,"v2",{"id":158,"name":5,"line":6,"ai":155,"cat":20,"year":13,"points":14,"comments":15,"rec":27,"s":28,"top":18,"kw":159,"maker":11,"domain":10,"tier":19,"attempts":30,"strip":160,"url":9,"mix":161,"praise":76,"objection":-1,"sub":21},46316991,[24,25,21,26],"3300",[30,31,30,30],1793991136851]