Brief introduction:Gartner’s report shows that 75% of the database is expected to use cloud database by 2022. At the same time, IDC estimates that the traditional deployment database market will reach $1.3 billion by 2024. Enterprise digital transformation and upgrading, actively embracing open source, cloud native database has become an important trend, and it is an inevitable choice. At present, Ali cloud database in the public cloud market share has more than 50% occupy half of the country. In 2020, Ali Cloud Database becomes the only Chinese manufacturer that enters the leader quadrant of Gartner Database Magic Quadrant, and occupies the first place in Asia Pacific and the third place in the world. In order to better serve the database market of traditional deployment and provide more comprehensive services for the government and enterprises at all stages of cloud, Ali Cloud Hybrid Cloud and Data Bank team jointly launched the lightweight single product of the Agile version of independent scene: DBStack.
Gartner’s report shows that 75% of the database is expected to use cloud database by 2022. At the same time, IDC estimates that the traditional deployment database market will reach $1.3 billion by 2024. Enterprise digital transformation and upgrading, actively embracing open source, cloud native database has become an important trend, and it is an inevitable choice.
At present, Ali cloud database in the public cloud market share has more than 50% occupy half of the country. In 2020, Ali Cloud Database becomes the only Chinese manufacturer that enters the leader quadrant of Gartner Database Magic Quadrant, and occupies the first place in Asia Pacific and the third place in the world.
In order to better serve the database market of traditional deployment and provide more comprehensive services for the government and enterprises at all stages of cloud, Ali Cloud Hybrid Cloud and Data Bank team jointly launched the lightweight single product of the Agile version of independent scene: DBStack.
Product introduction
DBStack is an enterprise-level cloud database management platform provided by Ali Cloud, which integrates transaction, analysis, transmission and governance, and helps enterprises quickly build a stable, safe and economic full-scene database solution. Help enterprises quickly upgrade traditional databases and data warehouses such as Oracle, DB2, Teradata, etc.
Agile version of the DBStack product matrix for database scenarios
The core function
The DBStack database management platform provides database engine services including PolarDB-O, PolarDB-X, and AnalyticDB, the cloud native Oracle database with high compatibility developed by Alibaba. It also includes open source databases such as MySQL and Redis, as well as rich database ecological tools developed by Ali itself, such as DTS, DMS and ADAM.
Agile version of the database scenario (DBStack), for all the database service provides unified intelligent management, including database instance control ability of DBaaS services, provide such as instance life cycle management, backup recovery system, security encryption, and SQL database log audit, monitoring, alarm, high availability management, and other core features, At the same time, it also provides DBStack platform level operation and maintenance management (Manager), such as security process (such as account security) management, external equipment system management, host management, database instance task management, instance resource management, disaster recovery management and platform upgrade and expansion and other services. That is, the platform is divided into using database services and management platform services. Users can access the management platform through control links such as the console, OpenAPI and SDK of the system, and access database services through access links provided by instances.
Product advantage
Agile version of the database scenario (DBStack), product advantages include four aspects, including rich database engine services, complete database ecological tools, cross-platform deployment capability, and cloud native control system.
<1 Rich > engine: DBStack provides a global database engine, covering OLTP, OLAP, and NoSQL database services, as well as distributed database and Oracle highly compatible database, to meet the vast majority of scenario database requirements of enterprise database.
<2 Complete > tools: DBStack’s database ecological tool system includes data management, database and application migration tools, and data transmission. Data management provides users with management of objects within the database and data management. Database and application migration tools evaluate compatible change points for upgrading from traditional database migration to DBStack. Data transfer includes migration, synchronization and subscription of data. Migration refers to migration of data from other databases to DBStack or migration of data to other databases. Synchronization refers to continuous database synchronization between multiple databases, and subscription refers to a scheme that provides other systems with subscription data from the database.
<3> cross-platform deployment: DBStack has the feature of cross-platform deployment, which can be deployed to physical servers or virtual machines, and supports a variety of operating systems, such as Linux and domestic operating systems.
<4> Cloud native management and control: DBStack provides all cloud-native management and control capabilities of Aliyun public cloud database, covering high availability, high reliability, high elasticity, performance, expansion ability, manageability, cost performance, security compliance and other aspects.
<5> one-stop database comprehensive solution: DBStack rich database engine services and perfect tool ecology, users can easily combine business-oriented and scenario-oriented stable, reliable and cost-effective comprehensive database solutions.
Important application scenarios
Agile version of the database scenario DBStack has supported a number of database engine and database ecosystem tools products, flexible product portfolio can meet different application scenarios.
For example, in the traditional traffic analysis system, offline calculation and online calculation engine should be introduced at the same time, and online and offline data interchange can be realized through timed ETL task, with serious data redundancy and T+1 delay. The DBStack AnalyticDB PostgreSQL database engine supports offline integration. A set of storage provides online and offline calculation at the same time, which greatly reduces the business complexity and improves the real-time performance of data. In contrast, the data timeliness has been improved from T+1 to second-level delay, which can quickly detect simple indicators, compound indicators and multi-dimensional indicators, and provide real-time 10-billion-level data second-level query online business for the whole link.
conclusion
As a unified one-stop database platform, DBStack, the agile version of database scenario, will inevitably lead the future enterprise database upgrade. With the digital transformation of enterprises, the use of data will be involved in all aspects of the business, and the overall reliability, availability, storage capacity, performance and expansion of the database system supporting data storage will be higher requirements, and the utilization of database resources will be more sufficient. Enterprises will also be more expected to meet the complete closed-loop of data generation, processing, analysis and reuse in a platform. The DBStack platform of the agile version of the database scene is the best choice to meet all customer needs in a one-stop shop.
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