China Distributed Relational Database 2023 Vendor Evaluation Report

Mondo Technology Updated on 2024-01-28

What is shared today is:Industry Report: China Distributed Relational Database 2023 Vendor Assessment Report

Content produced by IDCMARKETSCAPE).

Report total: 12 pages.

Selected Report**: Male Fir "Fruit Duck".

IDC Perspectives

With the rapid development of the Internet, the Internet of Things and big data technology, the amount of data is growing, the traditional stand-alone database can not meet the needs of large-scale data processing, and at the same time, affected by the epidemic and the overall economic situation, reducing costs and increasing efficiency has also become the focus of enterprise discussions in the past two years.

Distributed relational databases get rid of hardware dependence and obtain higher performance product value, and gradually become a new choice to support the core transaction system of enterprises. Whether it is share-storage or share-nothing architecture, distributed relational databases greatly increase the performance ceiling and availability of databases by horizontally scaling resources, but large-scale server clusters also increase the operation difficulty of distributed relational databases. With the popularization of cloud computing technology, cloud infrastructure provides a more flexible expansion space for the development of distributed relational databases, meets the growing demand of enterprises for data processing capabilities, and simplifies the operation and maintenance management of large-scale clusters, so that distributed relational databases can be further developed.

IDC believes that the current domestic distributed relational database market presents the following characteristics:

Leading vendors focus on the financial industry in the distributed relational database market. Due to its strong technical accumulation and huge demand for cost reduction and efficiency improvement, the financial industry can take the lead in carrying out technical verification of distributed relational databases and ensure the compatibility of products with existing systems. Enterprises with weak IT capabilities tend to rely heavily on commercial products, so they have stricter requirements for product compatibility, and hope that products can be seamlessly integrated with existing business systems to reduce migration costs and risks.

Although distributed relational database products still have imperfections and instability in terms of functionality, but enterprise customers remain open to it. They are willing to work closely with manufacturers to complete scenario-based iteration and functional improvement of products. This partnership model helps manufacturers better understand customer needs, while also enabling customers to adapt and apply new technologies more quickly, achieving a win-win situation for both parties.

In large scenarios such as finance and telecommunicationsThe privatized deployment of distributed relational databases has become the mainstream, but the privatized deployment of large clusters has increased the difficulty of operation and maintenance of distributed relational databases, making enterprises have to rely on the operation and maintenance services of vendors. To this end, the future product strategy direction of most manufacturers is to improve O&M efficiency, reduce O&M costs, and provide enterprises with more personalized services based on AI technologies such as large models and machine learning Xi.

At present, ecological construction is the shortcoming of most database vendors。Due to the lack of active communities, effective certification personnel, and abundant public information, enterprise customers often cannot obtain effective resources for self-operation and maintenance. This limits the popularity and application of distributed relational databases, and vendors need to strengthen ecosystem construction in the future to improve customers' self-operation and maintenance capabilities.

Reducing costs and increasing efficiency has begun to bear fruit in the application of distributed relational databases. Whether it is a centralized database replacement scenario or a MySQL database and table sharding replacement scenario, distributed relational databases can significantly reduce hardware costs and improve the scalability and stability of products. In the centralized database replacement scenario, large distributed relational database clusters can save 50% and 80% of hardware costs compared with traditional appliances. In the scenario of MySQL database and table sharding, enterprises choose to use the distributed relational database solution of the public cloud platform, which can not only reduce hardware costs, but also greatly reduce self-operation and maintenance costs, and further improve the operational efficiency and market competitiveness of enterprises.

Report total: 12 pages.

Selected Report**: Male Fir "Fruit Duck".

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