Product Positioning

Updated on 2022-12-16 GMT+08:00

View PDF

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.

DWS comes in four types: standard data warehouse, cloud 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. A company can migrate its large-scale data warehouse to the cloud and without performance deterioration.

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 cloud data warehouse uses decoupled storage and compute. It is a flexible data warehouse that supports cold and hot data analysis, elastic scaling of storage and computing resources, on-demand resource provisioning, and pay-per-use pricing. It can be used for small- and medium-sized data warehouses with fewer than 50 nodes, which are suitable for the analytics services that integrate databases, warehouses, data marts, and data lakes.

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. Currently, HA features are not supported. It can be deployed only in standalone mode, which is cost-effective and can be used for lightweight services.

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.

Parent topic: GaussDB(DWS)

Previous topic: GaussDB(DWS)

Next topic: Application Scenario