Best Data Management Software for SuperMap GIS

MySQL is the most widely used open-source database in the world. MySQL is the most popular open source database for web-based applications. It has been proven to be reliable, performant, and easy-to-use. This database is used by many high-profile web properties, including Facebook, Twitter and YouTube. It is also a popular choice for embedded databases, distributed by thousands ISVs and OEMs.

Microsoft SQL Server 2019 includes intelligence and security. You get more without paying extra, as well as best-in-class performance for your on-premises requirements. You can easily migrate to the cloud without having to change any code. Azure makes it easier to gain insights and make better predictions. You can use the technology you choose, including open-source, and Microsoft's innovations to help you develop. Integrate data into your apps easily and access a rich set cognitive services to build human-like intelligence on any data scale. AI is built into the data platform, so you can get insights faster from all of your data, both on-premises or in the cloud. To build an intelligence-driven company, combine your enterprise data with the world's data. You can build your apps anywhere with a flexible platform that offers a consistent experience across platforms.

IBM Db2®, a family of hybrid data management tools, offers a complete suite AI-empowered capabilities to help you manage structured and unstructured data both on premises and in private and public clouds. Db2 is built upon an intelligent common SQL engine that allows for flexibility and scalability.

GaussDB (for MySQL) is a next-generation, enterprise-class distributed database service that is MySQL-compatible. It utilizes a decoupled storage and compute architecture, and data functions virtualization storage (DFV), which auto-scales to 128 TB per DB instances. There is virtually zero risk of data loss. It can support millions of QPS throughputs, cross-AZ deployment, and combines the reliability and performance of commercial databases with open source databases. You can achieve seven times the performance of open source databases by decoupling compute from storage, connecting them via RDMA, using a "log-as-database" architecture, and getting seven times as much performance. You can add up to 15 replicas per primary node in minutes to increase read capacity and performance. GaussDB (for MySQL) is fully compatible. You can migrate your MySQL databases to GaussDB (for MySQL) easily without having to rebuild existing applications or sharding.

PostgreSQL, a powerful open-source object-relational database system, has over 30 years of experience in active development. It has earned a strong reputation for reliability and feature robustness.