promscale

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

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promscale reviews and mentions

Posts with mentions or reviews of promscale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-13.
  • Promscale Deprecation
    1 project | /r/Monitoring | 14 Apr 2023
    Now that Promscale has been deprecated, what are the other ideal means of self-hosted long term Prometheus storage?
  • What do you use when you have to store high cardinality metrics?
    5 projects | /r/golang | 13 Feb 2023
    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)
  • Promscale Has Been Discontinued
    1 project | news.ycombinator.com | 8 Feb 2023
  • Show HN: SigNoz – open-source alternative to DataDog, NewRelic
    10 projects | news.ycombinator.com | 1 Oct 2022
    They say:

    > if you want to have a seamless experience between metrics and traces, then current experience of stitching together Prometheus & Jaeger is not great.

    But I wonder if using Promscale https://github.com/timescale/promscale would make Prometheus & Jaeger not such a big problem as SigNoz imply.

    Promscale readme:

    > Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.

    Either way, SigNoz seems interesting indeed. And am glad to see that SigNoz supports OpenTelemetry.

  • Timescale raises $110M Series C
    8 projects | news.ycombinator.com | 22 Feb 2022
    Hi! So the team is over 100 at this point, but engineering effort is spread across multiple products at this point.

    The core timescaledb repo [0] has 10-15 primary engineers (although we are aggressively hiring for database internal engineers), with a few others working on DB hyperfunctions and our function pipelining [1] in a separate extension [2]. I think generally the set of folks who contribute to low-level database internals in C is just smaller than other type of projects.

    We also have our promscale product [3], which is our observability backend powered by SQL & TimescaleDB.

    And then there is Timescale Cloud, which is obviously a large engineering effort (most of which does not happen in public repos).

    And we are hiring. Fully remote & global.

    https://www.timescale.com/careers

    [0] https://github.com/timescale/timescaledb

    [1] https://www.timescale.com/blog/function-pipelines-building-f...

    [2] https://github.com/timescale/timescaledb-toolkit

    [3] https://github.com/timescale/promscale ; https://github.com/timescale/tobs

  • Tools for Querying Logs with SQL
    4 projects | dev.to | 11 Feb 2022
    Promscale is a connector for Prometheus, one of the leading open-source monitoring solutions. Promscale is developed by Timescale, a time series database with full compatibility to Postgres. Since logs are time series events, Timescale developed Promscale to ingest events from Prometheus and make them available in SQL. You can install Promscale in numerous ways.
  • New release Promscale
    1 project | /r/OpenTelemetry | 19 Jan 2022
  • Can Apache Druid replace Thanos? Can they complement themself?
    1 project | /r/kubernetes | 10 Nov 2021
    In case it helps, Promscale (from Timescale) offers long-term storage for Prometheus data and supports both PromQL and SQL queries. Here's the project page: https://www.timescale.com/promscale/ and the repo is here https://github.com/timescale/promscale It also support OpenTelemetry tracing if that's of interest.
  • Benchmarking: TimescaleDB vs. ClickHouse
    7 projects | news.ycombinator.com | 3 Nov 2021
    At first, let's give the definition of `time series`. This is a series of (timestamp, value) pairs ordered by timestamp. The `value` may contain arbitrary data - a floating-point value, a text, a json, a data structure with many columns, etc. Each time series is uniquely identified by its name plus an optional set of {label="value"} labels. For example, temperature{city="London",country="UK"} or log_stream{host="foobar",datacenter="abc",app="nginx"}.

    ClickHouse is perfectly optimized for storing and querying of such time series, including metrics. That's true that ClickHouse isn't optimized for handling millions of tiny inserts per second. It prefers infrequent batches with big number of rows per each batch. But this isn't the real problem in practice, because:

    1) ClickHouse provides Buffer table engine for frequent inserts.

    2) It is easy to create a special proxy app or library for data buffering before sending it to ClickHouse.

    TimescaleDB provides Promscale [1] - a service, which allows using TimescaleDB as a storage backend for Prometheus. Unfortunately, it doesn't show outstanding performance comparing to Prometheus itself and to other remote storage solutions for Prometheus. Promscale requires more disk space, disk IO, CPU and RAM according to production tests [2], [3].

    [1] https://github.com/timescale/promscale

    [2] https://abiosgaming.com/press/high-cardinality-aggregations/

    [3] https://valyala.medium.com/promscale-vs-victoriametrics-reso...

    Full disclosure: I'm CTO at VictoriaMetrics - competing solution for TimescaleDB. VictoriaMetrics is built on top of architecture ideas from ClickHouse.

  • Zabbix anything I should know?
    3 projects | /r/sysadmin | 25 Oct 2021
    Promscale + TimescaleDB
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 13 Jun 2024
    Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more β†’

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