GBase 8a (OLTP）

Cloud-Native Transactional Database

Product Introduction

Component Description

The component features built-in hybrid storage of row storage, column storage and HTAP, high compatibility with Oracle, GIS spatial capabilities and a full-stack set of supporting tools. It meets complex business requirements such as large-scale concurrent transactions, real-time data analysis, spatial data management and multi-source data migration, serving as the core data foundation for digital transformation.

Key Technical Indicators

  • Storage Mode: Row storage, column storage, and HTAP row-column hybrid storage
  • Compatibility: ≥98% compatible with Oracle; highly compatible with MySQL / PostgreSQL
  • Distributed Transactions: Strong consistency, supporting global distributed transactions
  • GIS Capabilities: Full support for GIS spatial data types and functions
  • Migration Capabilities: Full / incremental / reverse synchronization, result comparison, SQL traffic replay

Core Technical Features

Multi-Model Storage Engine
  • Row Storage: Designed for high-concurrency OLTP with row-level continuous storage. Transactions are guaranteed by MVCC + WAL, delivering excellent performance for point queries, inserts, updates and deletes.
  • Column Storage: Optimized for OLAP analytics with columnar compressed storage and CU pruning, significantly reducing I/O operations.
  • HTAP Row-Column Hybrid Architecture: Row storage supports core transaction processing while column storage powers analytics. Automatic row-to-column conversion runs in the background with intelligent optimizer routing, enabling one dataset to simultaneously support both transactions and analytics.
Deep Oracle Compatibility
  • Highly compatible with data types, SQL syntax, system views, and advanced packages (DBMS series).
  • Automatic migration of stored procedures, functions, triggers, and sequences.
  • Minimal application modification required; in most scenarios, applications can go live by only changing the connection string.
GIS Spatial Capabilities
  • Supports vector, raster and DEM spatial data models.
  • Provides complete GIS functions, geometric calculation, spatial indexing and optimal path calculation.
  • Satisfies scenarios such as map services, smart cities, Internet of Things (IoT) and land planning.

Core Advantages

  • Native HTAP Integration, One Dataset for Dual Scenarios

    Row storage powers high-concurrency transactions, while column storage handles complex analytics. Automatic switching eliminates the need for database sharding or table splitting, reducing architecture complexity and costs.

  • Smooth Oracle Replacement with Zero Migration Risk

    Compatibility rate ≥ 98%. Equipped with full-process supporting tools, it supports forward/reverse synchronization and data comparison, enabling painless replacement of core systems.

  • Built-in GIS Capabilities, Ready-to-Use for Spatial Business

    No external components required. Natively supports spatial data storage, computation and analysis, making it ideal for geographic information–related services.

  • Full-Link Tool Coverage for Simplified Development and O&M

    Integrates migration, development, O&M, monitoring and intelligent diagnosis, reducing labor costs and technical barriers.

Business Value

Lower Replacement Costs
  1. High Oracle compatibility results in minimal application modifications, short cycles and low risks, significantly reducing migration investment.
Improve Business Efficiency
  1. The integrated HTAP architecture reduces data synchronization links, enables real-time analytics and supports rapid decision-making.
Ensure Business Continuity
  1. Distributed high availability plus multi-active disaster recovery ensures stable 7×24 operation of core systems.
Simplify O&M Management
  1. One-stop platform with intelligent operations reduces manual intervention and cuts O&M costs by more than 50%.
Support Long-Term Evolution
  1. Elastic scaling, cloud-native design, vector engine and AI enhancements enable smooth upgrades for future business needs.
Cover Full-Scenario Business Requirements
  1. Multi-model storage combined with plug-in capabilities including GIS, time-series, full-text search and AI provides one-stop support for transactions, analytics, AI, IoT and other full business scenarios without deploying multiple databases.