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Time-Series DBUnknownVERIFIED

Time-Series DB

A time-series database (TSDB) is a specialized database optimized for storing, querying, and analyzing time-stamped or time-ordered data such as metrics, events, and sensor readings. It matters because it can efficiently handle very high write rates, long retention periods, and time-based aggregations that are common in observability, IoT, and financial applications.

Key Features

  • Optimized storage for time-stamped data with append-only or log-structured designs
  • High-ingest throughput to handle large volumes of metrics and events per second
  • Time-based querying and aggregations (downsampling, rollups, window functions)
  • Retention policies and automatic data lifecycle management (compaction, tiered storage)
  • Compression and encoding schemes tailored to time-series patterns
  • Support for tags/labels and dimensional data for flexible querying
  • Integration with monitoring, observability, and visualization tools

Use Cases

  • Application and infrastructure monitoring (metrics, logs, traces)
  • IoT telemetry and sensor data collection
  • Industrial monitoring and predictive maintenance
  • Financial market data storage and analytics
  • Energy grid, smart meter, and utility monitoring
  • Fleet tracking and geospatial time-series analytics

Adoption

Market Stage
Early Majority

Alternatives

Industries