- Constructed using Java Platform (Enterprise Edition); it is a cross-operating system with high portability;
- O/R Mapping+ big data storage and management engine technology
- Supports a variety of databases including Oracle, MS SQL Server, and MySQL
- Uses data caching technology such as Redis and Ehcache to enhance the system’s operating efficiency
- Supports distributed architecture and high concurrency for easy horizontal expansion and high fault tolerance
- Adopts front-end display technology such as HTML5 and CSS3 for a richer display interface
- Adheres to TMN, ITU-T, SNMP, JMX, WMI, Telnet, SSH, and SQL management specifications to ensure compatibility with a wider range of devices
- Support mainstream interfaces such as REST and WebService, and maintains smooth connectivity with third-party systems
- Machine learning: building machine learning/deep learning capabilities based on TensorFlow;
- Big data engine: big data architecture and distributed algorithm based on the Hadoop + Spark ecosystem;