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 SolutionProudly 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
Trusted Choice for Digital Transformation Across Industries
Mingyang stores billions of data points from 15,000 wind turbines in TDengine
Nevados streamlines data operations for solar trackers with TDengine
Gotion ingests millions of BESS data records daily at 10:1 compression in TDengine
Extracellular ensures seamless data collection and long-term scalability for bioprocess data
Siemens simplifies industrial data processing workflows with TDengine
Lotus increases data handling capacity and efficiency to serve car owners worldwide
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 SolutionHigh-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 SolutionCondition 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 SolutionOperational 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 SolutionStart 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
In server operations and maintenance, keeping a close eye on key metrics like CPU, memory, disk, and network is much like having a regular checkup at the doctor’s. Continuous monitoring of these indicators not only provides insights into system performance but also helps detect potential issues early using intelligent analysis tools. For example, a sudden
Forecasting renewable energy generation is becoming a key factor in ensuring the stable operation of power grids. With the rapid growth of wind and solar power, fluctuations in generation caused by weather changes pose significant challenges for grid dispatching. Real-time forecasting allows the grid to proactively deploy energy storage systems or start up gas-fired power
As a core tool in modern energy management, electricity demand forecasting delivers value throughout the entire lifecycle of the power system. At the resource planning level, accurately predicting electricity usage trends enables the optimization of power generation facility layout and the timing of grid upgrades. This helps avoid idle resources caused by premature investments or
The performance advantages shown by this evaluation indicate that TDengine excels at time-series data processing, especially with larger datasets and more complex queries.
Edge–cloud synchronization architecture has gradually become an important pillar supporting the development of the industrial Internet.
TSBS testing demonstrates that for the vast majority of queries, InfluxDB 3 Core returns results more slowly than InfluxDB 1.8.
