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Contact Us

 

If you have any business inquiries, cooperation needs, certification training, media cooperation, or after-sales support, you can scan the QR code below to contact YashanDB for assistance.

Cooperation

  • YashanDB

    nnovative Relational Database, Laying the Foundation for Multi-Form Solutions

    Oracle Compatibility

    Consult Now →

    Covering HTAP Hybrid Load Application Scenarios

    Enterprise-Level High Availability

     Introduction

     

    The Yashan Database Management System employs an advanced core architecture, efficiently supporting multi-core computing, large memory, new storage media, and network communication frameworks. On the software level, it utilizes technologies and algorithms such as parallel and vector engines, asynchronous parallel frameworks, OCC dynamic transaction scheduling algorithms, Raft protocol, and bounded theory. Through a multi-form product architecture and comprehensive infrastructure support capabilities, it meets the full life cycle data management demands of enterprise-level core applications for high compatibility, high performance, high scalability, and high availability.

    Features

    High Compatibility

    ▪ Fully supports ANSI SQL standards and mainstream programming language interfaces/development frameworks.

    ▪ Highly compatible with Oracle's PL/SQL capabilities, capable of replacing traditional core business systems.

    ▪ Equipped with a comprehensive operations and maintenance tool system, reducing learning costs.

    High Reliability

    ▪ Supports primary-standby and cascaded standby high availability architectures, meeting the business scenarios of two sites and three centers.

     

    ▪ Features flashback recovery and flashback query technologies, achieving rapid data recovery effects.

     

    ▪ Capable of physical and logical backup functions, ensuring no data loss through various backup strategies.

    High Performance

    ▪ Achieves ultimate high-concurrency online transaction processing capabilities through fine-grained concurrency control, lock-free transaction optimization, and adaptive concurrency scheduling algorithms.

    ▪ Based on sparse indexing, prefetching and caching storage technologies, vectorized execution engines, and efficient distributed algorithms, it reaches second-level response analysis effects.

    ▪ With extreme data compression, refined memory management, and the reasonable processing logic and parallelism of tools, it possesses high-speed data ingestion performance.

     Architecture

    ꂃ ꁹ

    ▪ A single storage engine with multiple storage structures, meeting the needs of HTAP hybrid load scenarios.

    ▪ A comprehensive rewriting and rollback mechanism, combined with fine-grained locking and concurrency control technologies, achieves high-performance transaction processing capabilities while ensuring strong data consistency.

    ▪A complete statistical information system, coupled with a self-developed CBO optimizer model, can cover various complex SQL scenarios and select the optimal plan.

    Self-Developed Core Technologies

  • YashanDB for Cluster

     

    A multi-active cluster based on shared storage, providing compute/storage scalability and financial-grade high availability, suitable for high-end core trading scenarios. 

    Transparent multi-active multi-write

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    financial-grade high availability

    multi-location and multi-center

     Introduction

     

    YashanDB Shared Cluster (YAC) is a multi-active database system with a single database and multiple instances. All nodes achieve concurrent read/write with strong consistency, providing transparent multi-write, high availability, high scalability, and high performance for high-end core business applications. It is a peer-to-peer alternative to Oracle RAC/DB2 cluster products, built on domestic middleware/chips/servers/storage, offering a complete full-stack replacement solution for high-end core trading scenarios.

    Features

    ▪ Single database, multiple instances architecture, with any instance being both readable and writable.

    ▪ Strong data consistency between instances within the cluster.

    ▪ As simple as using a centralized database.

    ▪ Clients perform concurrent read/write operations without differentiation.

    Transparent Multi-Write and Multi-Read

    ▪ 2-node standard TPCC test performance reaches 3.12 million.

    ▪ Multi-node read/write performance increases linearly.

    ▪ RTO<20S，RPO=0。

    ▪ 1.5 times faster than mainstream commercial databases.

    Extreme Performance

    ▪ Rapid fault detection, efficient arbitration, and takeover technologies.

    ▪ Transparent server takeover and client-side transparent switching.

    ▪ Zero data loss, business always online.

    ▪ Primary-standby disaster recovery between clusters, supporting multi-location and multi-center deployment.

    High Availability / High Reliability

    ▪ Highly compatible with Oracle syntax, semantics, stored procedures, and tool ecosystems.

    ▪ Standard JDBC/ODBC interfaces.

    ▪ DBLink，PL/SQL。

    SQL Capabilities

     Architecture

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    ▪ Graphical interface for operation and maintenance management.

    ▪ Automated installation and deployment.

    ▪ Real-time alarm monitoring and routine inspections.

    ▪ Email and SMS integration with third-party platforms.

    Ease of Maintenance

    ▪ Identity authentication and authorization.

    ▪ Whitelist authentication.

    ▪ Security auditing.

    ▪ Multiple data encryption methods.

    ▪ Level 3 Cybersecurity Certification.

    High Security

  • YashanDB for Data Warehouse

    Accelerates traditional data warehouses, a one-stop MPP distributed database

    Has Similar Computing to Big Data

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    Multi-model Hybrid Load

    Low Cost

     Introduction

     

    Yashan Distributed Real-Time Data Warehouse is a modern data warehouse built on the MPP computing architecture. It integrates the original bounded computation theory and utilizes a unique real-time column-store engine and a steady-state columnar engine. It features high-performance writing and updates, strong transactional consistency, large capacity, high compression, and real-time querying. It provides users with flexible traditional data warehouse acceleration and one-stop data warehouse solutions.

    Features

    ▪ Oracle syntax compatibility.

    ▪ Standard JDBC/ODBC interface.

    ▪ Distributed transactions with strong consistency.

    SQL Capabilities

    ▪ DN/MN supports 1 master, multiple backups; CN with multiple active nodes.

    ▪ Supports quorum strong consistency replication protocol, RPO=0.

    ▪ Supports Raft protocol, automatic fault detection, RTO < 30s.

    ▪ C client driver TAF.

    High Availability

    ▪ Online scaling, automatic data redistribution.

    ▪ Physical data replica migration.

    ▪ Transparent business applications, no service interruptions.

    Scalability

    ▪ MPP parallel computing, vectorized model.

    ▪ Adaptive cost model.

    ▪ Optimal TPCH performance.

    ▪ Adaptive data compression.

    Cost-Effectiveness

    ▪ Graphical interface for operation and maintenance management.

    ▪ Automated installation and deployment.

    ▪ Real-time alarm monitoring, daily inspections.

    ▪ Integration with third-party platforms via email and SMS.

    Easy Maintenance

     Architecture

    ꂃ ꁹ

    ▪ Identity authentication and authorization.

    ▪ Whitelist authentication.

    ▪ Security auditing.

    ▪ Multiple data encryption methods.

    High Security

  • YashanDB for GIS

    Native spatial data indexing, fully compatible with GIS platform ecosystem

    Native spatial data indexing

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    Extreme Performance

    PostGIS Compatibility

     Introduction

     

    Yashan Spatial Database supports the ST_GEOMETRY data type, which is used to store and access geometric objects that conform to the SFA SQL standard established by the Open Geospatial Consortium (OGC). It provides a series of data types and functions that allow for efficient storage, indexing, querying, and analytical computation of spatial data. The database supports both spatial data platform engines and native spatial data engines, offering users a variety of spatial data management solutions.

    Features

    ▪ Data types.

    ▪ Functionality.

    ▪ Input/output formats.

    PostGIS Compatibility

    ▪ Query performance superior to PG.

    ▪ Native spatial indexing.

    Performance Advantages

    ▪ Compatible with MapGIS by Zhongdi.

    ▪ Compatible with SuperMapGIS by SuperMap.

    ▪ Compatible with domestic software and hardware environments.

    Compatibility with Major Spatial Platform Providers

    ▪ Supports one-stop storage and computation.

    ▪ Unified cross-model computation based on SQL.

    Support for Multi-Model Data Management

    ▪ Fully supports the Xinchuang (domestic innovation) ecosystem.

    ▪ 100% self-developed code tested.

    Autonomous and Controllable

     Architecture

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