What do you use when you have to store high cardinality metrics?

This page summarizes the projects mentioned and recommended in the original post on /r/golang

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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  1. promscale

    Discontinued [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.

    Oh wow, I browsed the project just a few weeks ago, didn't see it then. I see the deprecation is recent (https://github.com/timescale/promscale/issues/1836)

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. postgresql-topn

    TopN is an open source PostgreSQL extension that returns the top values in a database according to some criteria

    I had a reporting system where the data was produced by a batch system. I added the PostgreSQL TopN extension to efficiently keep only the top 1000 values and put the long tail in an "Everything Else" heading.

  4. Algebird

    Abstract Algebra for Scala

    https://github.com/twitter/algebird (production ready, used at Twitter, but for the JVM)

  5. countminsketch

    An implementation of Count-Min Sketch in Golang

    https://github.com/shenwei356/countminsketch (for golang)

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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