Tool dossier

TDengine

Purpose-built database for Industry 4.0 and IoT that enables real-time ingestion, storage, and analysis of massive sensor data with high compression

3 sources 24,816 stars AGPL-3.0

Product snapshot

How the interface presents itself

TDengine interface screenshot

Positioning

What this project is really offering

The goal here is to separate raw catalog facts from the sharper product shape users care about before they commit time.

About

TDengine is a powerful time-series database optimized for industrial IoT applications. It offers 10x higher performance than traditional databases through its distributed architecture and unique data model. Key benefits include: • Cost-effective storage with up to 90% reduction through advanced compression and tiered storage options • Zero-code data integration with built-in connectors for MQTT, Kafka, OPC, PI System and other industrial sources • Comprehensive solution combining database, caching, stream processing and AI capabilities in a single platform • Enterprise-ready features like high availability, horizontal scaling, and SQL support • Built-in AI capabilities through TDgpt for time-series forecasting and anomaly detection The open-source version has over 700,000 instances deployed worldwide and a thriving community with 23,000+ GitHub stars.

Highlights

The capabilities most worth remembering

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High Performance

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Scalability

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Cost-effective Storage

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Data Consolidation

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Comprehensive Solution

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Deployment Flexibility

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Fully Managed Cloud Service

Evidence

What backs up the editorial summary