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Solution Overview
YashanDB provides a full-scenario MPP-based real-time data warehouse solution, meeting the needs of massive data storage and real-time fast analysis. It supports bounded computation acceleration, parallel real-time computation, native HTAP hybrid workloads, real-time data visibility and modification, ultra-large-scale clusters, and other capabilities.
Business Challenges
Rapid Data Growth
The existing database faces capacity limitations and performance bottlenecks, unable to meet the massive storage and real-time analysis requirements under the rapid growth of data volume.
Data Latency
In OLAP scenarios, traditional relational databases often require offline processing, resulting in slow database processing speeds and poor real-time performance.
Single Query Type
In OLAP scenarios, the existing database has a single query type and cannot support complex business scenarios involving various data formats, computational models, and analytical methods.
Solution Advantages
友情链接：深圳计算科学研究院 深圳崖山科技有限公司
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YashanDB
YashanDB, a new database system completely independently designed and developed by SICS. Based on classical database theories, it incorporates original Bounded Evaluation theory, Approximation theory, Parallel Scalability theory and Cross-Modal Fusion Computation theory, supports multiple deployment methods such as stand-alone/primary-standby, shared cluster, and distributed ones, covers OLTP/HTAP/OLAP transactions and analyzes mixed load scenarios, providing clients with one-stop enterprise-level integrated data management solutions to meet the needs of key industries such as finance, government, telecommunications and energy for high performance, concurrency and security.
Email: info@yashandb.com
Address: 5-10th Floor, Building 25, Hongshan 6979 Park, Minbao Road, Longhua District, Shenzhen, Guangdong Province
400 838 0400
