Apache: Big Data 2016

There is a new open source time series database on the block that allows one to store billions of time series points and access them within a few milliseconds.
Chronix [1] is a young but mature open source time series database that catches a compression rate of 98% compared to data in CSV files while an average query took 21 milliseconds. Chronix is built on top of Apache Solr [2], a bulletproof NoSQL database with impressive search capabilities. Chronix relies on Solr plugins and everyone who has a Solr running can create a new Chronix core within a few minutes.
In this session we show how Chronix achieves its efficiency in both by means of an ideal chunking, by selecting the best compression technique, by enhancing the stored data with pre-computed attributes, and by specialized time series query functions.

[1] http://chronix.io
[2] http://lucene.apache.org/solr/