Community Blog Knocking on the Door to Cloud-Native Database 2.0

Knocking on the Door to Cloud-Native Database 2.0

In this article, David Chen, describes what you can expect from Cloud-Native Database 2.0.

David Chen, Senior Technical Expert of Database Tools and Utilities at Alibaba Cloud

We are witnessing a new era of technological and industrial revolutions that is restructuring the global development scenario. As represented by cloud computing, next- generation information technologies are being interpenetrated as the new engine that drives the intelligent and innovative development of the digital economy.

On the other hand, enterprises need to modify cloud databases for the post-pandemic era. COVID-19 has accelerated the migration of businesses across industries to the Internet for digital operations. Along with this rapid transition, the demand for data storage and value mining is on the rise, resulting in three distinct trends:

  • Rapid data volume increase
  • Faster data migration to the cloud
  • The use of a cloud-native and distributed architecture

What Disruptive Changes Will Cloud-Native Database 2.0 Concepts and Services Bring to Enterprises?

An evident change is that enterprises can manage a copious volume of data in databases, such as standalone databases and cloud-native distributed databases like PolarDB, and import the data to data warehouses for analysis, reporting, archiving, and offline data value mining. Enterprises can develop storage and computing capabilities that integrate databases, data warehouses, and online and offline resources.

Another change is the collective management of online data assets, and enterprises can build data warehouses for agile analysis at lower costs. This is because cloud-native technologies enable the seamless real-time connection of databases and data warehouses in a controlled environment, facilitating O&M activities such as DDL-based changes and capacity scaling without interruption to business. Such a feat is impossible for a traditional data integration solution.

In addition, the system includes an extract, transform, and load (ETL) procedure that substantially speeds up the traditional data integration process, and the source database acts as the data warehouse's operational data store (ODS) for computing. Physical data migration is no longer necessary. Enterprises can build data warehouses as needed, like in no time.


Do Database Engineers Need to Learn New Technologies to Use These Tools Well?

In the past, application developers worked with databases, and data engineers or scientists worked with data warehouses. Alibaba Cloud Data Management Service (DMS) enables developers to process data like data engineers by connecting databases and data warehouses. The platform has lowered the requirements for skills.

In addition, small and micro-businesses, or medium and large enterprises, can all manage their data and development in DMS. Also, because the storage resources of a cloud-native data warehouse are infinitely expandable, the model for computing and processing user data barely changes with the swelling data volume.

Is Open-Source the Future of Cloud Databases?

Alibaba Cloud thrives on open-source databases and has been an active participant and promoter of open-source communities. We constantly share practical problems, bugs fixed, and original techniques. This time, we have disclosed some of the core, value-added technologies to return the favor.

Based on the long-term practice of providing cloud database services, Alibaba Cloud has developed an insightful understanding of database technologies, and we have mastered our knowledge in terms of high availability, distributed architectures, and storage- computing separation. We are looking for more co-builders to jointly provide more valuable solutions for users by launching open-source projects.


A Promising Future for Cloud Databases with Alibaba Cloud

First, apply the cloud-native distributed database technology. The cloud-native distributed technology can support online processing and analysis of large volumes of data, ensure high service availability, and provide the foundation for multi-model data processing engines. As a result, cloud-native distributed databases will become the preferred option for businesses.

Second, use DMS to manage enterprises' data assets. DMS enables collective data masking and lineage analysis to help bring out the value of data. It provides enterprises with services that cover the entire lifecycle of data, from data production and storage, transmission and processing, to computing and analysis. Enterprises can lower the barrier for data processing and analysis and harvest the benefits only by seamlessly connecting their various databases, allowing free data flows, and developing some comprehensive solutions.

Due to the rapid increase of business data, different data types, more complex business characteristics, and the demand for real-time data insights, traditional database solutions are required to be more scalable, with better availability and real-time flexibility. We have seen too much of this, just like a calling from the digital era. With world-class proven products and services, Alibaba Cloud can be your right choice to achieve such transition.

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