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Open Source Time Series Databases using Codecov

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

Time-series database and historian for industrial data
  • Stars


    25,099
  • Last commit


    13 hours ago
  • License


    AGPL-3.0
High-performance time-series database with industrial data management, built-in stream analytics, and AI-driven anomaly detection for operational environments.

Open Source Alternative to:

Time-series database built on top of PostgreSQL
  • Stars


    23,463
  • Last commit


    12 hours ago
  • License


    Unknown
PostgreSQL extension for time-series data with automatic partitioning, up to 95% columnar compression, continuous aggregates, and ~200 native SQL functions.

Open Source Alternative to:

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


    14,051
  • Last commit


    13 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


    6,612
  • Last commit


    6 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


    6,390
  • Last commit


    14 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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