Is there a powerful database system for time series data? [closed]

Answer 1

SQL Server StreamInsight

Microsoft StreamInsight BOL

Answer 2

As Jonathan Leffler said, you should try Informix Timeseries feature. It is included in all editions of Informix at no additional charge. You can take a look at the TimeSeries functions it supports:

IBM Informix Time series SQL routines

You can access the data through sql functions or virtual view interfaces, you can even insert into the view.

Answer 3

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.)

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Fair disclosure: I work for IBM on the Informix DBMS, though not on the TimeSeries DataBlade per se.

Answer 4

You can try HDF5 for time series data. It is extremely fast for such applications.

Answer 5

influxdb :: An open-source distributed time series database with no external dependencies.

• http://influxdb.org/

Answer 6

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:

• https://www.tempoiq.com