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TDengine

TDengine

High-performance open-source time-series database for IoT and big data

softwareDatabasesTime-Series DatabaseOpen-SourceIoT
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Our Verdict

Best for

IoT developers needing free TSDB

Skip if

Those requiring advanced analytics

What is TDengine?

TDengine is an open‑source time‑series database designed for massive IoT, industrial IoT, and big‑data workloads. It stores, compresses, and queries billions of data points per day with sub‑second latency. Its native SQL support, multi‑language client libraries, and lightweight footprint make it ideal for developers and data engineers building real‑time analytics pipelines on any platform.

SpecificationsAI-estimated

deploymentSelf-hosted
open source✅ Yes
github stars24,992
api available✅ Yes
support optionsEmail, Documentation
key integrationsPython, Java, C++, Go
primary languageC

Key Features of TDengine

Supports ANSI‑SQL queries with time‑series extensions for easy data manipulation.
Provides built‑in data compression that reduces storage costs by up to 90% for typical sensor data.
Offers a distributed architecture that can scale horizontally across commodity servers.
Includes native client libraries for Python, Java, C++, and Go, enabling seamless integration.
Implements a high‑performance write path capable of ingesting millions of points per second.
Features automatic data aging and retention policies to manage long‑term storage.
Provides a web‑based management console for monitoring cluster health and query performance.

Use Cases for TDengine

1

Industrial sensor monitoring

Collect and analyze high‑frequency sensor data from manufacturing equipment in real time.

2

Smart city telemetry

Store and query massive streams of traffic, environmental, and utility data for city dashboards.

3

Financial tick data

Ingest and query millisecond‑level market data for algorithmic trading analytics.

4

DevOps metrics

Track server and application metrics at scale for performance monitoring and alerting.

Pros & Cons of TDengine

Pros

  • Free and open‑source with no licensing fees
  • Optimized for high‑volume time‑series ingestion
  • SQL compatibility reduces learning curve
  • Multi‑language SDKs simplify integration

Cons

  • Self‑hosted deployment requires operational expertise
  • Ecosystem is smaller than some commercial TSDBs
  • Advanced analytics features are limited compared to specialized platforms

Frequently Asked Questions

Is TDengine truly free to use?

Yes, TDengine is released under an open‑source license and can be used without any licensing cost.

Can I run TDengine on Windows?

TDengine provides binaries for Windows, and it can also be run in Docker containers on any OS.

How does TDengine handle data retention?

It includes configurable retention policies that automatically purge or archive data based on time or size thresholds.

What client languages are supported?

Official client libraries are available for Python, Java, C++, and Go, with community bindings for other languages.

Pricing Overview

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Free

Detailed plans are not listed. Visit the official website for pricing information.

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About the Tool

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Platforms
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Target AudienceDevelopers and Data Engineers

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Time-Series DatabaseOpen-SourceIoTIndustrial IoTBig Data

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