This post is also available in: 简体中文 (Chinese (Simplified))
The problem of data isolate and business isolated caused by the traditional system
The system architecture performance is backward and the system bottleneck failure frequently.
Too much system coupling, low reusable code, too much repetitive work for IT department
Enable to meet the endless business innovations at the front-end limited enterprise’s R&D
Smart retail = Product supply chain + Data supply chain. Unified commerce platform= Data middle platform + Application middle platform
Based on sevice-mesh, enterprise distributed microservice centers are built to support the scale-out of server nodes by deploying separate service clusters for each microservice. Elastic scaling can be achieved according to business needs, ensuring performance while maximizing enterprise costs.
DataForce uses Hadoop’s big data platform for storage and data processing, enable enterprise massive business data storage with different types of data storage such as PostgreSQL and Hbase and Hive to ensure the consistency and integrity of internal data.
Help organizations easily respond to performance and security requirements in high business traffic with technology components such as flow-limiting fuses, load balancing, message queues, redis caches, real-time streaming computing and memory computing.
Help enterprises to build their own private data bank, precipitation business logics and data;
Meet the needs of flexible front-end business scenario innovation and improve the responsiveness of enterprises by the form of micro-services.
Data supports business management, enable data to converge with markets, design, production, logistics, sales, services and other businesses.