DataCenterNews Asia Pacific - Specialist news for cloud & data center decision-makers
Story image

Alibaba Cloud launches new cloud database solutions following market growth

Alibaba Cloud has reportedly doubled growth for its cloud-native database products year-over-year, with plans to develop and release new products and features to capitalise on this demand.

According to the company, this growth was fueled by industry's need to move their operation online given the lasting impacts of COVID-19.

At the recent Apsara Conference 2020, Alibaba Cloud database team launched a series of new product and feature upgrades, which include a family of cloud native database products covering OLTP, OLAP, NoSQL, tools and utility, and self-driving database platform.

These products will provide a solution portfolio within the database eco-system for the complete cycle of data processing, storage, management, and analytics, the company states.

Lindorm, the cloud-native multi-model database that used to support the Alibaba Group ecosystem, has been introduced to the market in order to benefit the wider Alibaba Cloud ecosystem and public customers.

Lindorm is a cloud-native database, with affordable storage and flexible processing characteristics. It's suitable to be used by applications with massive processing requirement for a mixture of unstructured, semi-structured, and structured data, the company states.

The application of Lindorm for enterprises is able to reduce the storage cost by 80% as compared with using conventional databases, with an availability guarantee of at least 99.99%.

Alibaba Cloud has also released its self-proprietary cloud-native distributed database product PolarDB-X. It includes upgraded with hybrid transaction/analytical processing and global secondary index for distributed data feature.

With the new upgrades it is able to carry out high concurrent, massive online transaction requests, and at the same time help online business to accelerate the complex analysis with efficient processing by 5 to 10 times, the company states.

Another release is AnalyticDB (ADB), which creates an automatic, flexible cloud-native data warehouse that is able to integrate online interactive analytics and offline computation operations.

In addition, AnalyticDB MySQL (ADB MySQL) can meet the resource requirement of users workloads with its elasticity on time consumption, data storage and group isolation to reduce cost and increase operation stability.

Cloud-native Data Lake Analytics (DLA) released upgraded features with its Serverless Spark to pull up 300 knots within 1 minute, the company states.

With serverless Presto and Spark computation engine, it provides enterprises with a serverless data lake platform with features such as one-click lake formation, metadata discovery and management, and delta lake management.

According to Alibaba Cloud, both ADB and DLA have been successfully deployed in various industries including finance, manufacturing, retail, aviation and logistics to help their digital transformation processes.

Alibaba Cloud Database Products Business president Dr Feifei Li says, “In the latest Gartner magic quadrant report, Gartner merged DMSA (Data Management Solution for Analytics) and OPDBMS (Operational DBMS) magic quadrants into a single Cloud DBMS magic quadrant, and this indicates where the future lies for database technology.

"We want our customers to ride on the future trend, and we will continue to innovate and provide our customers with the best database technology so that together, we can build a solid foundation in their digital transformation process."

According to Gartner, 75% of all databases will be on a cloud platform by 2023. Furthermore, in its recent report entitled '2019 Gartner Magic Quadrant for Operational Database Management Systems', Alibaba Cloud Database was recognised as a player in the Challengers quadrant.

Alibaba Cloud is the third largest cloud computing company in the world, and its database technologies currently serve more than 100,000 companies globally.

Follow us on: