Support various types of data nodes such as relational databases, NoSQL databases, domestic databases, data warehouses, big data platforms, cloud storage, APIs, etc. And it can also customize data nodes.

Provide TB-level throughput and sub-second low latency capabilities for incremental data processing for different data node types, accelerating data flow in various enterprise scenarios.

Adopting the layered management model of “data node registration, data link configuration, data task construction and system resource allocation”, the construction cycle of the enterprise-level platform is reduced from three to six months to one week.

Provides more than ten types of advanced configurations in two categories: restriction and policy configurations, including flexible data object mapping relationships, reducing the development and delivery time of data fusion tasks from 2 weeks to 5 minutes.

Adopting distributed architecture, all components support high availability and provide rich fault-tolerance strategies to cope with upstream and downstream structural changes, data errors, network failures and other emergencies, which can ensure the system's business continuity requirements.

Equipped with a four-level monitoring system for containers, applications, threads and services, the panoramic cockpit guards the stable operation of tasks. Automated operation and maintenance system, flexible capacity expansion and contraction, and reasonable management and allocation of system resources.