A small change marks the beginning of a new era, a cloud-native database era. Not long ago, Gartner released a set of data, which caused a lot of discussion. In the ranking of the global database management system market share in 2022, as a pure cloud manufacturer, Amazon Cloud Technology has surpassed the old traditional database manufacturers Oracle and Microsoft, ranking first for the first time, with a market share of more than a quarter.
Cloud-native databases are favored. On the one hand, enterprises have more and more trust in the security and reliability of the cloud, and are willing to move data as core assets to the cloud; on the other hand, enterprises increasingly hope that they can focus on Because of business innovation, I don't want to spend too much time on basic work such as database management. Of course, such changes are the result of more than 10 years of accumulation by cloud vendors and the gradual improvement of customer awareness.
Customize special databases for different business scenarios
Today, more and more enterprises are realizing rapid business development through micro-service applications, which puts forward higher requirements for the function, performance, scalability, and cost-effectiveness of the database as the underlying support. Therefore, enterprises need to choose specially constructed databases to support microservices, meet the needs of diverse application scenarios, and realize the modernization of enterprise data infrastructure. The benefits of this are obvious. It can give full play to the value of various databases and fully adapt to business needs. This is also impossible for traditional databases.
This is why Amazon Cloud Technology has launched more than ten cloud-native database services in eight categories. These database services are specially built for different application scenarios, including relational data, key-value data, document data, memory data, graph data, time series data, wide column data, and ledger data. Enterprises can choose a variety of different database services according to their different business scenarios and different data types to achieve the best service combination.
By adopting these specially constructed databases for different scenarios, enterprises can get rid of the shackles of traditional single databases in terms of performance, functions, and scalability, increase the speed of business innovation, and reduce operating costs.
Uplive, a well-known independent video social entertainment platform, has more than 300 million registered users worldwide, and providing excellent user experience is its core business requirement. For this reason, Uplive has targeted the database and data analysis services suitable for Amazon cloud technology at each key node of product update.
For example, Amazon DynamoDB was introduced in the early stage of product launch to be used in high-concurrency read and write scenarios of instant messaging applications. Compared with self-built MongoDB, the performance has been improved by at least five times; the core database platform has been switched from Amazon RDS to Amazon Aurora, While improving the performance by 3-5 times, with the help of the Aurora global database function, a cross-regional disaster recovery solution is deployed with one click.
Continue to move forward in the depth of cloud native
Although great progress has been made, cloud native is still in DAY ONE. On the one hand, there are still many enterprises whose IT infrastructure and data still remain in traditional data centers and need to migrate to the cloud; on the other hand, cloud native itself is also continuing to evolve, evolving from microservices to serverless, while The pace of serverless databases is also accelerating.
At present, Amazon Cloud Technology has 7 database products that provide Serverless functions, including relational database Amazon Aurora Serverless v2, key-value and document database Amazon DynamoDB, time series database Amazon Timestream, ledger database Amazon QLDB, wide-column database Amazon Keyspace, graph Database Amazon Neptune Serverless etc.
Serverless has values such as elastic expansion, on-demand billing, simplified management, and fast delivery. It can fully utilize resources and help enterprises innovate their businesses. For example, Aurora Serverless V2 can expand the database workload from hundreds of transactions to hundreds of thousands of transactions in a fraction of a second, which can save up to 90% of the database cost compared with the cost of configuring capacity according to the peak load.
The explosion of cloud vendors in the database market is also the result of years of technological innovation accumulation. In the Gartner Magic Quadrant for Cloud Database Management Systems, Amazon Cloud Technology has been in the leader quadrant for 8 consecutive years, and now it surpasses all competitors in terms of vision completeness and execution ability.
Just like the current AIGC, the cloud-native database is also an epoch-making productivity tool, which will inevitably lead to changes in the original market structure. Perhaps, within a few years, when we look at Gartner's Magic Quadrant and market share chart, the database market will completely become cloud-native.