Tuesday, October 8, 2024

For the fourth year in a row, Alibaba Cloud has been recognized as a leader in Gartner’s Magic Quadrant for Cloud Database Management Systems

In Hangzhou, China, on February 6, 2024, Alibaba Cloud, which serves as the digital technology and intelligence arm of Alibaba Group, has once again been acknowledged as a Leader in the 2023 Alibaba Cloud has been recognized as a leader in Gartner’s Magic Quadrant, marking its fourth consecutive year receiving this recognition.

Gartner, a renowned provider of actionable insights to business leaders worldwide, assessed cloud vendors globally on their capabilities in cloud database management systems (DBMS) based on their ability to execute and completeness of vision. According to Gartner, leaders demonstrate strong execution of their current vision and are well positioned for future endeavors.

Dr. Li Feifei, President of Database Products Business at Alibaba Cloud, expressed gratitude for the continued acknowledgment, emphasizing the team’s dedication to offering comprehensive cloud database products and services. She highlighted the growing importance of generative AI and the increasing demand for customized applications, underscoring the necessity for enterprises to adopt high-performance, innovative database solutions to facilitate continuous development. Alibaba Cloud aims to enhance its offerings, align with emerging generative AI trends, and collaborate with ecosystem partners to meet customer needs effectively.

Alibaba Cloud’s cloud-native data management products have played a pivotal role in driving success across various sectors. For instance, Sephora Greater China leverages Alibaba Cloud’s AnalyticDB to conduct real-time intelligent analytics, enhancing customer engagement both in-store and online. Similarly, PT Jasa Angkasa Semesta in Indonesia benefited from migrating its IT systems to Alibaba Cloud’s Relational Database Service (RDS), resulting in improved efficiency, scalability, and security.

In Japan, A Plus, a gaming company that relied on Alibaba Cloud has been recognized as a leader in Gartner’s Magic Quadrant to build a robust IT infrastructure supporting its rapid business growth. Utilizing Alibaba Cloud’s PolarDB and RDS for MySQL, A Plus accelerated its gaming development process while reducing maintenance costs. EasyParcel in Malaysia collaborated with Alibaba Cloud to enhance its delivery service platform, leveraging PolarDB to improve real-time tracking and service availability for customers.

To meet evolving customer demands, Alibaba Cloud announced upgrades to its database products, aiming to lower the technology barrier and provide access to cutting-edge developments like AI and cloud-native solutions. These upgrades include enhancements to PolarDB, AnalyticDB, and Lindorm, along with the introduction of AI-powered database ecosystem tools such as Data Copilot. Additionally, Alibaba Cloud introduced serverless options for key products like PolarDB and AnalyticDB, offering greater flexibility and scalability to customers.

Alibaba Cloud’s commitment to innovation and customer satisfaction continues to solidify its position as a leading cloud service provider globally.

(Disclaimer: This article does not contain any AI-generated text or copied content; it is based on data from Alibaba Cloud.)

About Alibaba Cloud: Alibaba Cloud has been recognized as a leader in Gartner’s Magic Quadrant

Established in 2009, Alibaba Cloud serves as the digital technology and intelligence backbone of Alibaba Group, offering a wide range of cloud services to customers worldwide. These services include elastic computing, database, storage, networking, security, big data analytics, machine learning, and IoT services. According to IDC, Alibaba has maintained its position as the third-leading public cloud IaaS service provider globally since 2018. Additionally, Gartner ranks Alibaba as the world’s third-leading and Asia Pacific’s leading IaaS provider by revenue in U.S. dollars since 2018. Read more: 3 Industries Poised to Gain from Ethical Synthetic Data Generation in 2024

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