In the past 10 years, the global database market has accelerated its transformation, and cloud databases, especially cloud-native databases, have become key variables in the entire database market. To some extent, Amazon Cloud Technology, as the leader of the global cloud-native database, has the value of the industry's wind vane.
Recently, something iconic to the global database market has happened: According to Gartner's data, Amazon Cloud Technology, as a pure cloud vendor, will have database revenue of US$23 billion in 2022, a year-on-year increase of 19.6%. In terms of global database market share, after surpassing Oracle in 2020, Amazon Cloud Technology will surpass Microsoft in 2022 and win the title of global database leader. Currently, Amazon cloud technology occupies a 25.3% share of the global database market in 2022. Since its first appearance in the Gartner database market share chart in 2013, Amazon Cloud Technology's ranking has been rising year by year, and it is the cloud vendor with the most obvious rising trend among the top database giants.
In a sense, the victory of Amazon cloud technology represents the victory of cloud native database. Therefore, from the perspective of the development of Amazon cloud technology, the inevitability of cloud-native databases replacing traditional databases, and the future development trend of cloud-native databases.
Rome was not built in a day
Cloud computing is the "important center" of Amazon's R&D investment. A large part of the tens of billions of dollars of R&D resources each year is invested in the research and development of cloud computing technology products, and cloud-native database is one of the important areas. Cloud-native databases are part of the organic whole of cloud computing, and the overall technical advantages of Amazon cloud technology are also of great benefit to the development of cloud databases. It can be said that Amazon Cloud Technology's leadership in cloud-native databases is a "profile" of its overall cloud computing advantages. It is the long-term high-intensity R&D investment that enables Amazon Cloud Technology to continuously achieve technological breakthroughs. Next, we analyze the technological innovation process in the field of cloud-native databases from the database products released by Amazon Cloud Technology at different time points:
In 2006, Amazon S3: Although this is not a database product, the release of S3 marked the beginning of Amazon Cloud Technology's entry into the field of cloud storage, laying the foundation for the development of subsequent database products.
In 2009, Amazon RDS: This is the first cloud database product released by Amazon Cloud Technology, which supports multiple relational database engines, such as MySQL, PostgreSQL, etc., which marks that Amazon Cloud Technology has begun to promote the cloudification of database services.
2011, Amazon ElastiCache: This is a fully managed in-memory data store that is optimized for real-time applications with high throughput and low latency, with significant value in improving database performance and response time.
In 2012, Amazon DynamoDB: This is the first NoSQL database product released by Amazon Cloud Technology, which supports the key-value storage model and meets the needs of large-scale, low-latency data processing. This marks that Amazon Cloud Technology has begun to explore the field of non-relational databases, promoting Diversification of database services. In the same year, Amazon Cloud Technology also launched Amazon Redshift, which is the first data warehouse product released by Amazon Cloud Technology, providing PB-level data analysis services, which marks Amazon Cloud Technology's entry into the field of big data processing and promotes the scalability of database services. and analytical capabilities.
In 2014, Amazon Aurora: This is a relational database product independently developed by Amazon Cloud Technology. It is compatible with MySQL and PostgreSQL, but optimized in performance and availability. This marks that Amazon Cloud Technology has begun to innovate database engines and promote the development of database services. performance and reliability.
In 2016, Amazon Database Migration Service (DMS): The release of DMS means that Amazon Cloud Technology is committed to providing a more comprehensive database migration solution, further reducing the difficulty and complexity of users migrating from traditional databases to cloud-native databases.
In 2017, Amazon DynamoDB Global Tables: This is a globalization solution for DynamoDB that allows data to be automatically replicated across multiple geographic regions, providing fast local performance and failover capabilities for global data, which is Amazon An important innovation of cloud technology in global distributed data management.
In 2018, Amazon Aurora Serverless v1: This is the first serverless database product released by Amazon Cloud Technology, which automatically adjusts the computing power of the database according to the real-time load, which marks the start of Amazon Cloud Technology to promote the automation and intelligence of database services.
In 2019, Amazon DocumentDB: This is a document database service compatible with MongoDB API released by Amazon Cloud Technology. continue to innovate.
In 2020, Amazon Timestream: This is the first time-series database product released by Amazon Cloud Technology, which is specially used to process time-series data, which marks that Amazon Cloud Technology has begun to innovate database products for specific data types and application scenarios.
In 2021, Babelfish for Aurora will make it easier for users to migrate existing SQL Server databases to Aurora PostgreSQL.
In 2022, Amazon Aurora Serverless v2 will further optimize the performance and response speed of serverless databases, which marks that Amazon Cloud Technology has made more in-depth innovations in the automation and intelligence of database services.
From the above time nodes, the development process of cloud-native database technology innovation is a journey from cloudification, diversification, big data processing, performance optimization, automation and intelligence, specific data type processing, globalization to further automation and intelligent process. Whether it is a relational database or a non-relational database, whether it is a data warehouse or a time-series database, whether it is global data management or a serverless database model, Amazon Cloud Technology has played a leading and promoting role in it.
It should be pointed out that technology itself does not generate value, and the value of technology comes from its application. In this regard, Amazon's own real experience in using databases is of typical reference value. As early as 2019, Amazon migrated 75 PB of internal data stored in nearly 7,500 Oracle databases to Amazon DynamoDB (workflow engine/customer profile/promotional discount management), Amazon Aurora (inventory management service IMS), Amazon Relational Database Service (Amazon RDS), Amazon Redshift (analytic workload), Amazon ElastiCache (cache service request) and other Amazon cloud technology databases, covering tasks such as complex procurement, catalog management, order execution, accounting systems, and video streaming All of Amazon's proprietary systems such as load. And, the migration process requires no downtime. Through database migration, cost was reduced by 60%, overhead was reduced by 70%, and performance was improved by 40%.
In fact, not only Amazon can greatly improve efficiency and reduce costs by applying cloud-native databases, but other companies can also do the same. Moreover, cloud-native databases are developing rapidly. After several years of development, the value of cloud-native databases will not only reduce costs and increase efficiency, but also bring more additional business benefits to enterprises. For enterprises, the business value of data can be released by adopting advanced cloud-native databases.