The Future of Databases and Self-Driving Databases

Self-Driving Databases Are the Future, Learn Why

Feifei Li, President of Database Systems at Alibaba, feels that AI, which now is limited to computer vision and speech/voice recognition currently, will play a huge role in business operations in the future.

What Is Changing in Database Technologies and Where Is This Tech Heading?

The database is a mature technology and has been around for 40 years, especially relational databases. I feel like a dinosaur. That’s part of the reason why this conversation is important and exciting. You know what happened to dinosaurs, right? They went extinct. So, how does one evolve in the tech world and not become extinct? The cloud has provided several opportunities, and there are several cloud-native database companies that can compete with the likes of Oracle. The future of database technologies are cloud native databases.

The Underlying Logic of ApsaraDB for POLARDB, an Industry-leading Database

ApsaraDB for POLARDB is a next-generation cloud-native database of Alibaba Cloud. It is fully compatible with open-source databases such as MySQL and PostgreSQL and highly compatible with Oracle syntax. You can migrate from Alibaba Cloud Relational Database Service (RDS) to ApsaraDB for POLARDB in one click, without even modifying the application code. This swift will allow you to experience greater capacity, higher performance, lower costs, and higher elasticity.

  1. Higher Transaction Performance due to Kernel Optimizations in ApsaraDB for POLARDB
  2. Support for Parallel Queries
  3. Next-generation Cost-based Optimizer
  4. The PolarFS Proprietary Distributed File System
  5. High Compatibility with Oracle Syntax and More Cost Effective than Other Commercial Databases

Related Products

ApsaraDB for PolarDB

ApsaraDB for PolarDB is a cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. ApsaraDB for PolarDB provides the performance and availability of traditional enterprise databases and the flexibility and cost-effectiveness of open-source databases.

Related Documentation


This topic provides answers to frequently asked questions (FAQ) about PolarDB for MySQL.

  1. Why does PolarDB outperform traditional databases?
  2. When was PolarDB released? When was it available for commercial use?
  3. What are clusters and nodes?
  4. Which programming languages are supported?
  5. Which storage engines are supported?
  6. Is a user-created secondary instance supported? How do I implement a primary/secondary architecture?
  7. Is PolarDB a distributed database?
  8. After I purchase PolarDB, do I need to purchase database middleware to implement sharding.
  9. Does PolarDB support table partitioning?
  10. Does PolarDB automatically include a partition mechanism?
  11. Compared with native MySQL, what is the maximum size of data that a single table can store in PolarDB?

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