[{"data":1,"prerenderedAt":243},["ShallowReactive",2],{"project-12166370":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":28,"sentiment":29,"stance_mix":30,"scored_comments":35,"aspects":36,"strip":41,"post_text":42,"what":43,"said":60,"maker_in_thread":152,"shape":157,"grid":161,"attempts":205,"same_week":206,"maker_shows":31,"maker_hidden":235,"reader_version":236,"card":237},"12166370","EventQL","Open-source distributed SQL analytics database  in C++11","title","Show HN: EventQL – Open-source distributed SQL analytics database  in C++11","https:\u002F\u002Fgithub.com\u002Feventql\u002Feventql","github.com","paulasmuth",1469547544,2016,90,18,425,2264,19,"notable","data","analytics database","other",[24,21,25,26,27],"distributed sql","self-hosted","columnar storage","bigquery alternative","curious",0.127,{"positive":31,"neutral":32,"mixed":33,"critical":34},3,5,0,1,9,{"idea":37,"performance":38,"docs":39,"execution":40},{"positive":33,"critical":33},{"positive":34,"critical":33},{"positive":33,"critical":33},{"positive":33,"critical":34},[31,33,31,32,32,33,33,33,33,33,33,31,33,31,31,34,33,32],null,{"problem":44,"audience":42,"pricing":42,"motivation":42,"time_to_build":42,"stack":51,"openness":58,"stage":59,"team_size":59},{"value":45,"source":46,"evidence":47},"Running fast SQL analytics over large datasets without a proprietary cloud service","inferred",[48],{"id":49,"by":11,"text":50},"12167944","Yes, it is similar to BigQuery with a couple of differences as you pointed out. The big ones being that it's fully open source and self-hostable. It's less similar to Apache…",[52],{"value":53,"source":54,"evidence":55},"C++11","maker",[56],{"id":57},"post","open_source","unknown",{"praise":61,"objections":74,"requests":81,"questions":105,"alternatives":118},[62,66],{"value":63,"source":54,"evidence":64},"Fully open source and self-hostable, unlike BigQuery",[65],{"id":49,"by":11,"text":50},{"value":67,"source":68,"evidence":69},"Simple to set up","commenter",[70],{"id":71,"by":72,"text":73},"12168053","babas","Looks great! I've just gotten a single instance up and running. Really simple to set up. It seems almost exactly what We've been looking for! Some background: We have been…",[75],{"value":76,"source":54,"evidence":77},"No CSV import in the current release build",[78],{"id":79,"by":11,"text":80},"12167974","We do have a csv import util (the API expects JSON) but it's not in the current distribution\u002Frelease build. I'll add it and update this comment once it's live. Queries are mostly…",[82,89],{"value":83,"source":68,"evidence":84},"Add CSV import",[85],{"id":86,"by":87,"text":88},"12167844","buremba","How can we import CSV dataset? HTTP API for insert returns this error message: expected JSON_OBJECT_BEGIN, got: JSON_OBJECT_BEGIN. The GROUP BY query in homepage scans 1.8B rows…",{"value":90,"source":68,"evidence":91},"Publish comparisons with other databases such as InfluxDB, Clickhouse and Redshift",[92,93,97,101],{"id":71,"by":72,"text":73},{"id":94,"by":95,"text":96},"12168055","ddispaltro","How does it compare to Clickhouse, recently released from Yandex [0]? [0] https:\u002F\u002Fclickhouse.yandex\u002F",{"id":98,"by":99,"text":100},"12168812","dtheodor","Why EventQL over other distributed columnar-storage based databases like Redshift, Vertica, Citus, or Hadoop-based ones like Impala and Presto. What does EventQL do better?",{"id":102,"by":103,"text":104},"12169434","carterehsmith","Good question! May be useful to add to Show HN guidelines that it is recommended to add a \"Why X\" section. Or \"How X compares to others in this space\". Without that, it is…",[106,110],{"value":107,"source":68,"evidence":108},"How does it compare to ClickHouse?",[109],{"id":94,"by":95,"text":96},{"value":111,"source":68,"evidence":112},"Disk usage and ingestion rate versus InfluxDB and Cassandra",[113,117],{"id":114,"by":115,"text":116},"12167005","nwrk","looks good [0], thank you can anyone comment on data disk usage ? [0] docs - http:\u002F\u002Feventql.io\u002Fdocumentation\u002F",{"id":71,"by":72,"text":73},[119,126,130,134,138,145],{"value":120,"source":68,"evidence":121},"BigQuery",[122],{"id":123,"by":124,"text":125},"12167861","jimktrains2","Is this similar to Apache Drill[0]\u002FGoogle Dremel[1] (BigQuery[2])? One differences is that it seems to be able to do mutations to data, not simple appends. [0]…",{"value":127,"source":68,"evidence":128},"Apache Drill",[129],{"id":123,"by":124,"text":125},{"value":131,"source":68,"evidence":132},"ClickHouse",[133],{"id":94,"by":95,"text":96},{"value":135,"source":68,"evidence":136},"InfluxDB",[137],{"id":71,"by":72,"text":73},{"value":139,"source":68,"evidence":140},"KDB+",[141],{"id":142,"by":143,"text":144},"12168199","teej","If you're looking for recommendations for time series data, this thread still holds up - https:\u002F\u002Fnews.ycombinator.com\u002Fitem?id=8368509 I'd consider taking a look at KDB+",{"value":146,"source":68,"evidence":147},"OSI PI",[148],{"id":149,"by":150,"text":151},"12170164","bigger_cheese","At my work we use OSI PI which is an Enterprise Historian for storing this kind of physical sensor data - has very good support for time series logging and integrates well with…",{"comments":153,"answered":153,"key":154},2,[155,156],{"id":49,"text":50},{"id":79,"text":80},{"commenters":158,"max_depth":31,"maker_replies":153,"first_comment_mins":159,"lifespan_hours":160},14,75,11,[162,164,166,168,171,173,175,178,182,184,187,188,189,191,193,197,199,201],[123,33,31,163,124,33],"project\u002Fneutral\u002Fidea",[49,33,33,165,11,34],"project\u002Fpositive\u002Fidea",[94,33,31,167,95,33],"project\u002Fneutral\u002Fperformance",[169,33,32,170,124,33],"12168520","project\u002Fpositive\u002Fnone",[71,34,32,172,72,33],"project\u002Fpositive\u002Fperformance",[142,34,33,174,143,33],"other\u002Fneutral\u002Fnone",[176,34,33,177,72,33],"12168497","other\u002Fneutral\u002Fpricing",[179,34,33,180,181,33],"12168722","other\u002Fneutral\u002Fperformance","mattbillenstein",[183,34,33,180,72,33],"12168854",[185,34,33,174,186,33],"12169333","etrain",[149,34,33,177,150,33],[98,153,31,163,99,33],[102,153,33,190,103,33],"commenter\u002Fcritical\u002Fdocs",[114,31,31,192,115,33],"project\u002Fneutral\u002Fdocs",[194,195,31,163,196,33],"12167407",4,"ddorian43",[86,32,34,198,87,33],"project\u002Fcritical\u002Fexecution",[79,32,33,200,11,34],"maker\u002Fneutral\u002Fexecution",[202,203,32,170,204,33],"12167346",6,"ktamura",[],[207,212,217,222,227,231],{"id":208,"name":209,"points":210,"category":211},"12166687","Web Design in 4 minutes",1624,"learning_science",{"id":213,"name":214,"points":215,"category":216},"12136011","Riko",283,"languages",{"id":218,"name":219,"points":220,"category":221},"12159249","Kubernetes Certificate Manager",186,"infrastructure",{"id":223,"name":224,"points":225,"category":226},"12163689","github-widget",176,"dev_tools",{"id":228,"name":229,"points":230,"category":216},"12175830","sha256-simd",156,{"id":232,"name":233,"points":234,"category":226},"12137698","kilo",85,false,"v2",{"id":238,"name":5,"line":6,"ai":235,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":239,"top":18,"kw":240,"maker":11,"domain":10,"tier":19,"attempts":33,"strip":241,"url":9,"mix":242,"praise":63,"objection":76,"sub":21},12166370,0.13,[24,21,25,26,27],"303550000003033105",[31,32,33,34],1794036546212]