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Top Time-Series Database Software for DataBase

22 time-series database software ranked by rating, review volume and listing quality.

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  1. I

    Time Series

    InfluxDB is a time-series database for metrics, events and sensor data, with an open-source Core and commercial Enterprise and cloud editions.

  2. TT

    Time Series

    TimescaleDB is a PostgreSQL extension that adds time-series storage, partitioning and compression, sold as the managed Tiger Cloud service.

  3. Q

    Time Series

    QuestDB is an open-source time-series database using SQL with time-series extensions such as SAMPLE BY and ASOF JOIN, aimed at high-ingest workloads.

  4. P

    Time Series

    Prometheus is an open-source monitoring system with a built-in time-series database and the PromQL query language, used for infrastructure and application metrics.

  5. V

    Time Series

    VictoriaMetrics is an open-source time-series database and monitoring backend compatible with Prometheus protocols, in single-node and cluster forms.

  6. AI

    Time Series

    Apache IoTDB is an open-source time-series database from the Apache Software Foundation, designed for IoT and industrial data.

  7. T

    Time Series

    TDengine is a time-series database for IoT and industrial data, with stream processing and analytics components, sold self-hosted or as cloud.

  8. G

    Time Series

    GreptimeDB is an open-source, cloud-native time-series database for metrics, logs and events, supporting OpenTelemetry, Prometheus and InfluxDB protocols.

  9. AD

    Time Series

    Azure Data Explorer is a Microsoft managed analytics service for log, telemetry and time-series data, queried with Kusto Query Language and T-SQL.

  10. K

    Time Series

    kdb+ is a proprietary time-series database from KX with the q vector language, combining in-memory and historical data for trading and real-time analytics.

  11. C

    Time Series

    CrateDB is a distributed SQL database for time-series, document and search workloads, available self-managed or as a cloud service.

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