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Timescale

Timescale is a high-performance time-series database built as a PostgreSQL extension, designed for real-time analytics and scalable data management. It powers applications in IoT, AI, crypto, and more with unmatched speed and efficiency.

Timescale is the open source alternative to:
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About Timescale

Timescale enhances PostgreSQL by delivering lightning-fast query performance, efficient data ingestion, and real-time aggregation through its hybrid row-columnar engine. The tool features automatic partitioning, columnar compression, and dynamic scaling to manage vast streams of live data. It simplifies DB operations with built-in high availability, continuous backups, and seamless integration with cloud-native infrastructures, making it ideal for rapid prototyping and production-grade applications.

Key Features

  • Up to 1000x faster queries than standard PostgreSQL
  • Hybrid row-columnar engine for efficient data ingestion and storage
  • Automatic partitioning and real-time aggregation
  • Advanced compression reducing storage costs by up to 95%
  • Seamless PostgreSQL integration with full SQL support

Summary

Timescale streamlines managing high-velocity time-series data while ensuring cost efficiency and exceptional performance. It leverages the robust PostgreSQL ecosystem to enable sophisticated analytics and effortless scalability for modern applications.

Adrian
Created by
Adrian
Mar 9, 2025Updated1 min read
This content was partially generated using artificial intelligence.

Tool Details

18,521
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Since 2017
about 1 month ago
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