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Open Source Time Series Databases using GitHub

A curated collection of the best open source databases optimized for handling time-stamped data. using GitHub.

Open source metrics collection, storage, and alerting
  • Stars


    65,816
  • Last commit


    8 hours ago
  • License


    Apache-2.0
Pull-based monitoring system with a multi-dimensional data model, PromQL query language, built-in alerting, and a time series database built for cloud native environments.

Open Source Alternative to:

High-performance time series database for metrics and logs
  • Stars


    17,592
  • Last commit


    8 hours ago
  • License


    Apache-2.0
Time series database and monitoring platform compatible with Prometheus, handling billions of metrics with lower resource usage than most alternatives.

Open Source Alternative to:

Real-time analytics database for sub-second OLAP queries
  • Stars


    14,045
  • Last commit


    5 hours ago
  • License


    Apache-2.0
Columnar, time-indexed analytics database built for streaming and batch data at scale, handling billions to trillions of rows with millisecond query response times.

Open Source Alternative to:

Unified observability database for metrics, logs, and traces
  • Stars


    6,568
  • Last commit


    8 hours ago
  • License


    Apache-2.0
Cloud-native observability database unifying metrics, logs, and traces with sub-second queries, 50x cost reduction, and seamless OpenTelemetry integration.

Open Source Alternative to:

Time-series database built for industrial IoT workloads
  • Stars


    6,382
  • Last commit


    9 hours ago
  • License


    Apache-2.0
Apache IoTDB manages industrial IoT time-series data with high-throughput read/write, edge-cloud sync, ultra-high compression, and integrations with Hadoop, Spark, Flink, and Grafana.

Open Source Alternative to:

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