Product Positioning

GaussDB for Data Warehouse Service (GaussDB(DWS)) is an online data processing database based on the public cloud infrastructure and platform, and provides scalable, fully managed, and out-of-the-box analytic database services. It is a native cloud service based on the Huawei converged data warehouse GaussDB, and is fully compatible with ANSI SQL:99 and SQL:2003 standards, as well as the PostgreSQL and Oracle ecosystems. GaussDB(DWS) provides competitive solutions for PB-level big data analytics in various industries.

GaussDB(DWS) comes in three types: standard data warehouse, stream data warehouse, and hybrid data warehouse, helping you build the top data warehouse in terms of enterprise-level kernel, real-time analysis, collaborative computing, convergent analysis, and cloud native.

Oriented to data analysis scenarios, the standard data warehouse provides enterprise-level data warehouse services with high performance, high scalability, high reliability, high security, and easy O&M. It is capable of data analysis at a scale of 2048 nodes and 20 petabytes of data. Supports hot and cold data analysis, elastic scaling of storage and computing resources, and on-demand and pay-per-use pricing, providing users with elastic, flexible, and cost-effective experience. It is applicable to converged analysis services that integrate libraries, warehouses, cities, and lakes.

The stream data warehouse is built on top of the standard data warehouse. It integrates stream and time sequence engines to provide real-time data ingestion and high-concurrency real-time analysis capabilities. It can be used for IoT real-time analysis.

The hybrid data warehouse provides high-concurrency, high-performance, and low-latency transaction processing capabilities based on large-scale data query and analysis capabilities. It is suitable for hybrid transaction/analytical processing (HTAP). A database can be used for both production and analysis. The can be deployed in a cluster or a single-node system.

GaussDB(DWS) can be used in a wide range of fields, such as finance, Internet of Vehicles (IoV), government and enterprise, e-commerce, energy, and carrier. It has been listed in the Gartner Magic Quadrant for Data Management Solutions for Analytics for two consecutive years, thanks to its large-scale scalability, enterprise-grade reliability, and higher cost-effectiveness over conventional data warehouses.