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RedisTimeSeries is a Redis Module adding a Time Series data structure to Redis.


Read more about the v1.0 GA features here .

  • High volume inserts, low latency reads
  • Query by start time and end-time
  • Aggregated queries (Min, Max, Avg, Sum, Range, Count, First, Last, STD.P, STD.S, Var.P, Var.S) for any time bucket
  • Configurable maximum retention period
  • Downsampling/Compaction - automatically updated aggregated timeseries
  • Secondary index - each time series has labels (field value pairs) which will allows to query by labels

Client Libraries

Official and community client libraries in Python, Java, JavaScript, Ruby, Go, C#, Rust, and PHP.

See the Clients page for the full list.

Using with other tools metrics tools

In the RedisTimeSeries organization you can find projects that help you integrate RedisTimeSeries with other tools, including:

  1. Prometheus - read/write adapter to use RedisTimeSeries as backend db.
  2. Grafana 7.1+ - using the Redis Data Source .
  3. Telegraph
  4. StatsD, Graphite exports using graphite protocol.

Memory model

A time series is a linked list of memory chunks. Each chunk has a predefined size of samples. Each sample is a tuple of the time and the value of 128 bits, 64 bits for the timestamp and 64 bits for the value.

Mailing List / Forum

Got questions? Feel free to ask at the RedisTimeSeries mailing list .


Redis Source Available License Agreement - see LICENSE