Is there a powerful database system for time series data? [closed]
Most other answers seem to mention SQL based databases. NoSQL based databases are far superior at this kind of thing.
Some Open source time-series databases:
- https://prometheus.io - Monitoring system and time series database
- http://influxdb.com/ - time series database with no external dependencies (only basic server is open-source)
- http://square.github.io/cube/ - Written ontop of MongoDB
- http://opentsdb.net/ - Written on top of Apache HBase
- https://github.com/kairosdb/kairosdb - A rewrite of OpenTSDB that also enables using Cassandra instead of Hadoop
- http://www.gocircuit.org/vena.html - A tutorial on writing a substitute of OpenTSDB using Go-circuits
- https://github.com/rackerlabs/blueflood - Based on Cassandra
- https://github.com/druid-io/druid - Column oriented & hadoop based distributed data store
Cloud-based:
influxdb :: An open-source distributed time series database with no external dependencies.
Consider IBM Informix Dynamic Server with the TimeSeries DataBlade.
That is, however, an extreme data rate that you are working with. (Not quite up to sub-atomic physics at CERN, but headed in that general direction.)
Fair disclosure: I work for IBM on the Informix DBMS, though not on the TimeSeries DataBlade per se.