High-Performance, Scalable Time-Series Database for Industrial IoT

From predictive maintenance and remote monitoring to AI and ML, the latest industrial applications all have one thing in common — a reliance on large, high quality datasets. And no database better helps you gain real-time insights than TDengine™, the only time-series database designed for Industrial IoT.

High Performance at Any Scale

With its distributed scalable architecture that grows together with your business, TDengine can store and process massive datasets up to 10.6x faster than other TSDBs — all while providing the split-second latency that your real-time visualization and reporting apps demand.

High Performance Distributed Design

Efficient Data Storage

With its unique design and data model, TDengine provides the most cost-effective solution for storing your operations data, including tiered storage, S3, and 10:1 data compression, ensuring that you can get valuable business insights from your data without breaking the bank.

Tiered Storage High Compression

Data Consolidation Across Sites

With built-in connectors for a wide variety of industrial sources — MQTT, Kafka, OPC, PI System, and more — TDengine delivers zero-code data ingestion and extract, transform, and load (ETL) in a centralized platform that acts as a single source of truth for your business.

Data Consolidation Data Sources

Comprehensive Solution for Industrial Data

With out-of-the-box data subscription, caching, and stream processing, TDengine is more than just a time-series database — it includes all key components needed for industrial data storage and processing built into a single product and accessible through familiar SQL statements.

Comprehensive Solution

Proudly Open Source

TDengine is built on the open-source time-series database TDengine OSS

Develop applications with TDengine’s client libraries in your favorite programming language

Modern Solutions for Modern Industrial Applications

Predictive Maintenance

TDengine provides the ideal data backbone for powering IIoT predictive maintenance initiatives to optimize operations, reduce downtime, and enhance decision-making across industries like process manufacturing, renewable energy, and oil & gas.

Our Solution

High-Frequency Data

TDengine efficiently handles high-frequency data ingestion, compresses data to reduce storage costs, and enables fast querying for real-time monitoring and analysis in industrial applications.

Our Solution

Condition Monitoring

With its high ingestion rate, efficient storage, real-time processing capabilities, seamless scalability, and integrated solutions, TDengine is the ideal choice for condition monitoring in any industrial setting.

Our Solution

Operational Efficiency

With its high ingestion rate, efficient storage, real-time processing capabilities, seamless scalability, and integrated solutions, TDengine is the ideal choice for optimizing operational efficiency across various industries.

Our Solution

Start in 60 Seconds

Exploring a new system shouldn’t require a big investment — of time or money. Instead of spending months in contract negotiations, get started with TDengine Cloud in a few seconds with no upfront costs. With standard SQL support, zero-code integration with a variety of data sources, and client libraries for popular programming languages, TDengine makes digital transformation easier than ever.

Latest Updates

Extracellular, a biotech company based in the UK, has selected TDengine as its time-series database. Find out what factors affected the company’s decision.

by Jeff Tao
February 16, 2025

With the recent announcement of InfluxDB 3 Core, many users are questioning the company’s commitment to open source.

With the recent release of InfluxDB 3, many customers are wondering whether InfluxDB is still the best choice for their time-series data needs.

TDengine powers real-time processing of 100 GB+ IoT data daily, optimizing industrial energy management.

by Chait Diwadkar
February 5, 2025

InfluxDB misses the mark when it comes to industrial data

by Chait Diwadkar
February 4, 2025

InfluxDB just can’t keep up with the data needs of growing industrial enterprises