TDengine Systemeigenschaften

One of the modules of TDengine is the time-series database. However, in addition to this, to reduce the complexity of research and development and the difficulty of system operation, TDengine also provides functions such as caching, message queuing, subscription, stream computing, etc. TDengine provides a full-stack technical solution for the processing of IoT and Industrial Internet BigData. It is an efficient and easy-to-use IoT Big Data platform.

TDengine uses standard SQL language to provide main functions and follow standardization specifications.

Clustered feature is open-sourced.

• Performance improvement over 10 times: An innovative data storage structure is defined, with each single core can process at least 20,000 requests per second, insert millions of data points, and read more than 10 million data points, which is more than 10 times faster than other existing general database.
• Reduce the cost of hardware or cloud services to 1/5: Due to its ultra-performance, TDengine’s computing resources consumption is less than 1/5 of other common Big Data solutions; through columnar storage and advanced compression algorithms, the storage consumption is less than 1/10 of other general databases.
• Full-stack time-series data processing engine: Integrate database, message queue, cache, stream computing, and other functions, and the applications do not need to integrate with software such as Kafka/Redis/HBase/Spark/HDFS, thus greatly reducing the complexity cost of application development and maintenance.
• Powerful analysis functions: Data from ten years ago or one second ago, can all be queried based on a specified time range. Data can be aggregated on a timeline or multiple devices. Ad-hoc queries can be made at any time through Shell, Python, R, and MATLAB.
• Seamless connection with third-party tools: Integration with Telegraf, Grafana, EMQ, HiveMQ, Prometheus, MATLAB, R, etc. without even one single line of code. OPC, Hadoop, Spark, etc. will be supported in the future, and more BI tools will be seamlessly connected to.
• Zero operation cost & zero learning cost: Installing clusters is simple and quick, with real-time backup built-in, and no need to split libraries or tables. Similar to standard SQL, TDengine can support RESTful, Python/Java/C/C + +/C#/Go/Node.js, and similar to MySQL with zero learning cost.

•  IT Infrastructure, Servers and Applications Monitoring
•  Internet of Cars, Trucks, Ships, Bikes, Train, Airplanes
•  Power Grids, Power Plants, Power Distribution, and Smart Meters
•  Robotics, Elevators, Excavators, and other Machinery
•  Oil/Gas Extraction, Oil Refineries, Oil Pipelines
•  Water, Air and Other Forms of Environmental Monitoring
•  Smart Homes, Buildings, Parks, and Cities
•  Records of Internet Access, Phone Usage, and Financial Transactions
•  Any Internet of Things and Industrial Internet Scenarios

Fastest growing database

With more than 15,500 stars on GitHub

Open Source (AGPL v3)

Enterprise / Cloud (https://www.taosdata.com/en/support/)