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Who "uses this in production" and how is it better than MySQL and Postgresql? They need a little more show instead of tell.
by gleenn 13y ago
Who "uses this in production" and how is it better than MySQL and Postgresql? They need a little more show instead of tell.
- wesm 13y agoIt's used by Metamarkets in production (http://metamarkets.com/); http://metamarkets.com/); I've seen talks about it at Strata and they're getting really impressive query times on terascale problems. Shameless plug: if you're interested in fast in-memory analytics and more of the PyData bent, I'm building a system with some similarities to Druid at my company (http://www.datapad.io/ http://www.datapad.io/) but more focused on optimizing single-node performance (i.e. minimizing EC2 expenses) on medium data (single columns of tables typically fit in memory) than high scalability / real time ingest.
- stephengoodwin 13y agoNetflix also uses Druid: http://www.slideshare.net/g9yuayon/netflix-druidstrata2013 http://www.slideshare.net/g9yuayon/netflix-druidstrata2013
- markelliot 13y agoIt seems like it's part of Netflix's data pipeline, Suro[1]. [1]:http://techblog.netflix.com/2013/12/announcing-suro-backbone-of-netflixs.html http://techblog.netflix.com/2013/12/announcing-suro-backbone...
- fosk 13y agoTake a look at this page: http://druid.io/druid.html#whois http://druid.io/druid.html#whois
- calinet6 13y agoTo begin with, it's a column store, which has all kinds of cool implications for data that repeats itself a lot, such as analytics.