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AnalyticDB for MySQL:Technology development trends

Last Updated:Dec 25, 2023

In recent years, data plays an increasingly central role in a variety of fields within the national economy and has undergone many changes compared with data in the past. Technology development has the following trends:

Explosive growth in data scale

The development of technologies such as 8K, 5G, IoT, big data, and artificial intelligence (AI) spurs the explosive growth of data volume. In the Data Age 2025 report, the International Data Corporation (IDC) predicts that the global datasphere will grow from 33 zettabytes in 2018 to 175 zettabytes by 2025, an increase of ten times than data generated in 2016. This indicates that the era of orientation to data value has arrived. And this era gradually replaced the period of time in which the focus changed from data mocking to digitization. It is essential to generate, utilize, and manage data in a manner to benefit consumers, government agencies, and enterprises in their daily lives and routine operations. Consumers and enterprises will continue to generate, share, and access data between different devices and clouds. The volume of data will grow more rapidly than expected.

Real-time production and processing

Big data can be characterized by 3Vs: volume, variety, and velocity. Big data is about volume. It is a collection of petabytes of static data. Fast data is about variety and velocity based on a large data volume. Customers can process data in real time at a higher speed. In a recent white paper, the IDC predicts that more data will be generated as global connectivity grows and a growing portion of that data will be real-time information. Nearly 30% of generated data will be consumed in real time by 2025. In a recent study by Forrester, more than 75% of companies surveyed already use fast data solutions. Of those surveyed, 88% indicated they need to perform analytics in near real time on data.

Intelligent production and processing

In addition to structured data, an increasing proportion of semi-structured data such as logs and unstructured data such as audio and video files are considered valuable by enterprises. In Data Age 2025, the IDC predicts that 80% of worldwide data will be unstructured by 2025 and the amount of unstructured data will grow at an annual rate of 55%. Enterprises cannot gain insight into the value of their data without tools to analyze these large amounts of data. In this case, the demand for multi-model data analysis grows. Traditional big data technologies can meet such requirements. However, their divergent technology stacks are difficult to use in most enterprises due to inconsistent usage habits. Therefore, unified and standardized technical solutions are urgently needed.

Accelerated cloud migration of data

Gartner predicts that 75% of all databases will be on a cloud platform by 2022. Enterprises and organizations are deploying new applications in the cloud and accelerating the migration of existing data assets. And this trend will continue. They are increasingly inclined to deploy and innovate their data management system (DBMS) by using cloud-first strategies or pure cloud environments. Personnel that choose DBMS solutions agree that cloud-based DBMS is the future direction of data analysis.