A high-performance database oriented towards the field of querying and analyzing massive amounts of data, designed to fulfill storage and management needs such as data querying, statistics, analysis, mining, and backup for data-intensive industries. It can serve as the underlying database for data warehouse systems, business intelligence (BI) systems, and decision support systems, showcasing exceptional performance in the realms of business analysis and business intelligence.

A mature and stable enterprise-grade transactional database. It supports database standards and development interfaces such as SQL99/2003, ODBC, JDBC, ADO.NET. It also supports shared storage clusters and high-availability deployment across multiple sites. It is suitable for OLTP application scenarios, including critical core business systems in the finance and telecommunications industries, secure information systems for government purposes, and operational and management information systems for large enterprises. It has the capability to replace international mainstream databases and shared storage clusters in over 80% of scenarios.

GBase 8c is a multi-model, third-generation intelligent distributed database. It achieves database intelligence through intelligent optimization, intelligent operation and maintenance, and intelligent security, endowing GBase 8c with intelligent features such as high performance, high availability, elastic scaling, and high security.

It supports multiple storage modes including row storage, column storage, and in-memory storage, various deployment architectures such as standalone, primary-standby, and distributed modes, as well as compatibility with multiple database systems including Oracle, PostgreSQL (PG), and MySQL. Deployable on physical machines, virtual machines, containers, private clouds, and public clouds, it provides secure, stable, and reliable data storage and management services for core systems of key industries, Internet business systems, and enterprise business systems, meeting diverse application scenarios.

A massive distributed columnar-based data warehouse designed for large-scale parallel processing, offering multiple instances and elastic cloud capabilities. GCDW supports both on-premises deployment (with a compute-storage separation model in a private cloud) and cloud-based deployment. It adopts a storage-compute separation architecture, allowing limitless independent scaling of computing and storage resources. It is suitable for analytical big data platforms, comprehensive BI systems, data warehouses, and data mart systems, meeting users' data warehousing needs in cloud environments.