Evolution of Databases from 1G to 5G: From Relational to NewSQL and Future Trends

The article explores how the rapid development of mobile communication technologies (from 1G to 5G) has driven successive transformations in database systems. It starts with the 1G era, where relational databases such as Oracle and early MySQL were introduced to meet basic storage and query needs.

In the 2G era, open‑source relational databases like MySQL, PostgreSQL and Berkeley DB emerged, offering higher performance and the ability to support growing business demands.

The 3G era brought a massive increase in data volume, prompting the rise of NoSQL solutions (MongoDB, HBase, etc.) that sacrifice strict ACID guarantees for horizontal scalability and flexible data models.

With 4G, the article introduces the concept of NewSQL – distributed, relational systems that combine the strong consistency of traditional RDBMS with the scalability of NoSQL. Examples include Google Spanner, F1, and the Chinese TiDB ecosystem (TiKV, PD, TiDB).

Looking ahead to the 5G era, the author predicts that databases will need ultra‑low latency, high throughput, linear scalability, and seamless cloud‑native operation. Cloud deployment, containerization, and integration with AI for real‑time analytics are highlighted as key trends.

The piece also discusses how 5G‑enabled AI applications will push databases toward real‑time processing, time‑series storage, and predictive capabilities, emphasizing the importance of open‑source and domestically controlled solutions.

Overall, the article provides a chronological overview of database technology evolution, linking each communication generation to corresponding shifts in data storage paradigms and outlining future directions in the 5G and AI era.