On May 12, the Wenzhou Site of the Open Source Database Technology Salon, organized by PostgreSQL Chinese Community and PolarDB Open Source Database, was held at Wenzhou University. Many experts and technical experts in the database field were invited to the event, aiming to promote the development and cooperation between database and industry and academia, discuss the future development trend of database industry, and inspire young students who are interested in developing in database field.

During the event, Xing Xiaoqiang, the engineer of database solution, gave a keynote speech on "Full-stack Business Capability: Telecom-grade AntDB Solution", which introduced the advantages of AntDB and the solutions for database problems from theory to practice.

Figure 1: AntDB with students and teachers of Wenzhou University

Challenges in multiple business scenarios

Under the background of rapid development of artificial intelligence, metaverse and many other new technologies, many industries such as telecom, energy, finance and transportation are facing many challenges of digital transformation, for example, the energy industry needs to build power marketing management system and terminal time-series data storage, and the financial industry needs to build real-time online trading system and core clearing business system. And the database plays a vital role in this process.

According to Xing Xiaoqiang, an excellent database needs to have the following capabilities: high concurrency/low latency, high performance/high security, massive/real-time analysis, horizontal scaling, low de-O cost, and intelligent operation and maintenance. Traditional database is limited by its performance and is facing three major challenges in business, technical and management.

On the way of solving data management problems, AntDB has been providing mature and stable solutions for many industries from the first generation of self-researched in-memory database to the new generation of "hyper-converged" distributed database, which has lasted for fifteen years and helped enterprises transform with digital intelligence.

Analysis of AntDB and its architecture

AntDB has many customers from all walks of life and has been successfully applied for commercial purpose in global telecommunication, finance and public service with 1000+ running nodes. As a database serving 1 billion subscribers, 4 major features of AntDB were introduced by Xing Xiaoqiang:

1.AntDB’s multi-model SQL engine is designed for migration - the integration of OLTP & OLAP is suitable for transactional applications and big data MPP analysis scenarios, supporting high availability, high performance and scalability of clusters. The new version helps enterprises to migrate offline MySQL, PostgreSQL, and Oracle databases in one click, with less than 1% change of application compatibility.

2. AntDB distributed database is born for scaling - from the first generation to the seventh generation, the size of cluster is increased by about 10 times,

and performance is increased by about 2 times, supporting domestic hardware as well as distributed and centralized flexible deployment.

3. One-click data migration from Oracle - MTK can create data migration interface, synchronize tasks, and complete data migration with one click. It has the ability to capture the source data changes in real time, sends to the data conversion layer by way of message stream, after conversion, transfer to other systems and databases in a streaming way through the playback of the implementation (Kafka Connect) connection.

4. Operation and maintenance management platform - with cluster management, alarm management and operation and maintenance management, etc., it helps enterprises better manage their databases.

Figure 2: AntDB’s full-stack, full-compatibility, full lifecycle solution

In the future, based on the exploration and innovation in the field of database, AntDB will further promote the integration of industry, academia and research between enterprises and universities, accelerate the cultivation of talents for digital intelligence, and help enterprises transform with digital intelligence and promote the continuous development of digital economy with its original hyper-converged architecture and full-stack business capabilities.