RedisTimeSeries

In plain words

RedisTimeSeries is a time series data structure module for Redis developed by Redis Labs. It enables users to store and query time-stamped data efficiently within Redis. The tool is designed for developers building applications that require time series data handling, such as monitoring systems, analytics platforms, or IoT applications. It provides specialized data structures optimized for time series workloads, offering an alternative to managing such data through standard Redis operations.

written from the facts on this page · September 2026

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  rtcollector - A modular, RedisTimeSeries-native observability agent2025 · github.com · ▲18

  I’m a long-time time series nerd, I’ve worked with InfluxDB, TimescaleDB, ClickHouse, and more, across everything from monitoring fleets to tracking medical devices. But recently, I started exploring RedisTimeSeries again… and I was surprised by how much the Redis Stack has evolved. Between RedisTimeSeries, RedisJSON, RediSearch, and Streams, I realized: this could actually be the backbone for a full observability stack. So I built rtcollector, a modular, Redis-native observability agent. It’s written in Python, configured with YAML, and designed to push system, container, and database…

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  Real-Time Video Analytics with Redis2019 · github.com · ▲85

  An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people) - RedisGears/EdgeRealtimeVideoAnalytics

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• RW
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