Tim Spurway – Hustle: a column oriented, distributed event database

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PyData SV 2014
Hustle was born out of the need to efficiently process and query billions of event records per day. It was built on the proven petabyte scale Disco MapReduce framework, and the surreally fast LMDB persistent data layer. Hustle sports the following feature set:
column oriented – super fast queries
append-only event semantics
distributed insert – massive write loads
compressed – save up to 50% memory/disk space
Python DSL query language

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