IoTDB data collection, storage and analysis of integrated data management engine for time series. It has a light body mass, high performance, easy to use features, perfect butt Hadoop and Spark ecology for massive time-series data on industrial networking applications in high-speed writing and complex analytical queries needs.
The main functions and features
IoTDB has the following characteristics:
- Flexible deployment
- A key cloud deployment
- I.e., by extracting the terminal
- Terminal - Cloud seamless connection (Data Synchronization tool Drive)
- Low cost of hardware storage solutions
- High compression ratio of disk storage (one billion data points hard disk costs less than 1.4 yuan)
- Time series of organizational management structure directory
- Time Series support complex organizational structure with intelligent network devices
- Support a large number of similar things device time-series tissue
- Available Fuzzy embodiment massive complex time series retrieve directory structure
- High throughput time-series data read and write
- Strong support for one million low-power devices connected to a data access (Mass)
- Support intelligent network with high-speed read and write device data (high-speed)
- And mixed loads have the above characteristics
- Rich query semantics for time series
- Cross apparatus, time-series cross-time alignment sensor
- Computing time series data for the characteristics (frequency domain transform, does not support 0.8.0)
- Functions to provide rich support for the polymerization time dimension
- Low barrier of entry
- Supports SQL-like data manipulation
- Provides JDBC programming interface
- Improve the import and export tools (0.8.0 version is not supported)
- Perfect butt open source environment
- Data analysis supports the open source ecosystem: Hadoop, Spark
- Support the open source visualization tools docking: Grafana