Cloud Native Database 2.0: One-stop full-link data management and service
Introduction to Cloud Developers Conference on May 29, Alibaba Cloud Database announced the new brand concept and open source cloud native database capabilities of "Cloud Native Database 2.0: One-stop Full Link Data Management and Services". The customer scenario perspective puts forward the concept of a one-stop online data management platform.
At present, Alibaba Cloud has the most powerful and abundant cloud database product family in China, covering four major sections: relational databases, non-relational databases, data warehouses, and database ecological tools. It can provide enterprise data production and integration, real-time processing, analysis and discovery , Development and management provide full link life cycle services.
Data production and integration
The production and integration of data is the first life cycle of data. Just like a newborn baby, when data comes to this world, it must first undergo collection, then storage and processing. Tools such as Alibaba Cloud Data Transmission DTS, Data Management DMS, and Database Backup DBS constitute the basic capabilities of data production and integration. Through the unified management of 30+ data sources in the hybrid cloud, various solutions such as data collection, real-time transmission of heterogeneous data, multiple activities in different places, cross-cloud backup or backup to the cloud, etc. are realized. Data can be improved through the database DevOps capability provided by DMS Safety and R&D collaboration efficiency.
Real-time data processing
After completing the production and integration of data, it will naturally come to the real-time processing of data. How to ensure that the application is always online and the data is never lost in the online transaction scenario must be the most concerned issue for everyone. Here, Alibaba Cloud Database provides different options.
Alibaba Cloud RDS is the largest and most stable cloud database in China, supporting MySQL, PG, SQL Server and other engines, supporting the rapid development of Alibaba economy for more than ten years, providing 99.99% high availability and RPO=0 enterprise-level capabilities. In the cloud native database 2.0 era, the biggest feature of Alibaba Cloud RDS is to provide enterprise-level database autonomy. Through AI and machine learning technology, an autonomous driving database platform is built to support automatic problem repair and automatic tuning.
Alibaba Cloud's self-developed cloud-native relational database PolarDB adopts the separation of storage and calculation, and the integration of software and hardware. It not only has the low-cost advantage of distributed design, but also has centralized ease of use, which can meet the needs of large-scale application scenarios. The computing power can be expanded to more than 1000 cores, the storage capacity can be up to 100TB, and the cluster version single database can be expanded to 16 nodes at most, and the performance is 6 times higher than MySQL. PolarDB series products have been supporting Tmall Double 11 stably for many years, and the processing peak is up to a record 140 million times per second.
Data analysis and discovery
After accumulating a large amount of transaction data, how to find information in the data to create greater value for the business comes to the life cycle stage of data analysis and discovery.
The cloud native data warehouse AnalyticDB, based on the storage and computing separation architecture, is integrated offline. A piece of stored data meets multiple computing capabilities such as interactive analysis, real-time update, high concurrency check and offline computing, and solves the complexity of traditional analysis system architecture. For the problem of high construction threshold and high cost, 1TB can be as low as 114 yuan/month. Cloud native database 2.0 can also discover and analyze offline data through data lake technology to build a lake-warehouse integrated solution.
Data development and management
Finally, data development and management. Through the data management service DMS, companies can manage online data assets in a unified manner, including metadata management, security desensitization, and blood relationship analysis, to achieve low-threshold on-demand warehouse building and agile analysis capabilities.
The biggest change brought about by the one-stop online data management platform is that enterprises can manage large amounts of data in the form of databases. DMS uniformly manages the database and data warehouse, allowing data to flow freely. Different from traditional data integration, DMS can not perceive the link in the source database DDL or expansion and contraction operation and maintenance changes, and the built-in ETL capability shortens the data link, and at the same time, it can directly query the source database table through cross-database query. Participate in the calculation as the ODS layer of the data warehouse, eliminating the problem of physical data relocation, and truly achieving on-demand warehouse building and agile analysis. DMS also supports flexible task scheduling, data development, and report display. With the accumulation of data, DMS can periodically archive data to the cloud-native multi-mode database Lindorm or OSS, use data lake analysis to mine the value of DBS backup data, and perform full life cycle management of the data to give full play to the value of the data.
One-stop online data management platform, through the unified management of online data assets, full-link security and blood relationship management, and building an integrated warehouse and offline storage and computing capabilities, will greatly reduce the threshold for enterprise data processing and analysis. Help enterprises to better utilize the value of data and assist enterprises in their digital transformation.
Cloud Database Leader Li Feifei said: "For cloud native database 2.0, we want to move from atomic product differentiation to one-stop full-link data management and service , so that developers and customers can discover value from data. Let data flow seamlessly, this is our philosophy and our mission."
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