Transforming the Retail Industry with ApsaraDB for PolarDB
To help enterprise customers deploy cloud computing and solve Internet-based business challenges, Alibaba Cloud has launched ApsaraDB for POLARDB, a next-generation cloud database. ApsaraDB for POLARDB uses an advanced cloud native design and architecture, which provides customers with high performance, high throughput, and elastic scalability in rapidly growing business scenarios. Fully compatible with MySQL, ApsaraDB for POLARDB has been deployed in the Alibaba Cloud ecosystem, and provides solutions for customers in a variety of industries.
Retail Enterprises Transform and Innovate — Ma Longfei, Senior VP, Shanghai Baison Software Co., Ltd.
Baison Software is a provider of full-scale solutions in the field of new retail, and is committed to helping retail enterprises innovate and transform their operations. ApsaraDB for POLARDB’s active-active high-availability cluster and its shared distributed block storage maximize the efficiency of cluster computing and eliminate computing bottlenecks. ApsaraDB for POLARDB provides better system access performance without increasing costs or sacrificing high availability.
Furthermore, through its container virtualization and shared distributed block storage, ApsaraDB for POLARDB can scale up read-only nodes within a couple of minutes, allowing rapid auto scaling and supporting large storage capacity. By enabling performance that is impossible to generate in the traditional read/write splitting mode, ApsaraDB for POLARDB helped us to cope with the huge traffic growth during the World Cup.
SCRM Connects Customers and Consumers through the Cloud — Shanghai Bizvane Information Technology Co., Ltd.
We are Bizvane, a Shanghai-based provider of Social Customer Relationship Management (SCRM) services to retail brands. The interactive platform that we build for corporate customers and consumers not only improves the overall shopping experience, but also helps enterprises deploy consumer profiles, analyze consumer behavior, and improve marketing. Alibaba Cloud’s ApsaraDB for POLARDB provides ultimate performance and comprehensive support services. In all comparison tests, ApsaraDB for POLARDB offers the highest stability and the best cost effectiveness. It fully meets our requirements in terms of real-time data aggregation and system computing.
Digital Transformation into a Next-Generation Real Estate Company — Chen Keke, CTO, Hangzhou iShangzu Technology Co., Ltd.
Alibaba Cloud that we use to run our digital systems plays an important role in our transformation into a next-generation real estate company. iShangzu manages a large number of dispersed properties, and ApsaraDB for POLARDB very much fulfills our operational requirements.
ApsaraDB for POLARDB’s ultimate performance and rapid scalability have greatly boosted our company’s operational efficiency. ApsaraDB for POLARDB’s full compatibility with MySQL has also reduced our development and operation costs.
Advertising Makes Life Better — Zhang Weifang, Chairman, Hangzhou DataGather Technology Co., Ltd.
As a leading provider of big data services in the field of advertising monitoring, our DataGather focuses on collecting large amounts of advertising data to monitor and analyze marketing and advertising campaigns.
With its shared distributed block storage and read/write splitting features, and its high scalability, availability, and compatibility, ApsaraDB for POLARDB not only provides us with second-level response to queries from tens of millions of advertising data samples, but also effectively reduces the costs in application development and database connectivity.
Application of ApsaraDB for POLARDB in the Architecture Evolution of Financial Databases — Chen Liqing, VP and CTO, Shenzhen Fadada Network Technology Co., Ltd.
Fadada is an open platform that provides online contract management and evidence custody services for enterprises and individuals in the fields of Internet finance and O2O e-commerce. As the amount of data grows rapidly, the write ability of a single database has reached its limit.
However, ApsaraDB for POLARDB solves the problems of previous database solutions. Its features, such as computing/storage separation, linear expansion of read nodes, I/O performance improvement in line with the storage capacity, and multi-copy data backup mechanism, guarantee the data security of our databases.
Puhui Technology Service: K12 Online Education — Xu Hongfeng, Dtabase Supervisor, Beijing Chalk Future Technology Co., Ltd.
Yuanfudao is an online education platform that enables teaching and research activities based on big data. By mining the massive exercise data of users, the platform provides precise course analysis in the whole process, and enables teachers to teach students in accordance with their aptitudes.
Fully compatible with MySQL, ApsaraDB for POLARDB helped us migrate our business at zero cost. In addition, ApsaraDB for POLARDB’s high performance and scalability allow us to adapt to changes in demand during the off-season and peak season, while providing smooth and rapid online teaching experiences to hundreds of thousands of students concurrently.
KD.CC Intelligent Catering System — Zhao Yanan, Co-Founder and R&D VP, Suzhou Nutlet Software Technology Co., Ltd.
We are Nutlet Technology, and we are one of China’s first developers of the Software-as-a-Service (SaaS) system. We developed “KeDao”, an AI-based catering management system that helps restaurant operators create data loops and upload client data to the cloud.
We chose ApsaraDB for POLARDB not just because of its distributed block storage technology that can effectively cope with the challenges of massive amounts of data, but also because of its strong computing power, which significantly improves the query efficiency of complex reports. These advantages allow us to maximize KeDao’s ability to explore the full potential of catering data, thereby helping our customers improve their operational efficiency.
ApsaraDB for POLARDB uses an advanced computing/storage separation architecture. Storage nodes can be scaled up to 100 TB. Computing nodes can share the same storage, and depending on the service load, can be flexibly scaled up to 16 nodes, thereby providing active-active high availability.
In the process of developing ApsaraDB for POLARDB, we used next-generation hardware technologies to improve performance. For example, we used the RDMA technology to connect computing nodes and storage nodes. The ApsaraDB for POLARDB storage nodes use Intel’s 3D Xpoint technology-driven Optane memory cards. These new hardware technologies all help improve the performance of ApsaraDB for POLARDB and provide more stable Quality of Service (QoS). Looking ahead, ApsaraDB for POLARDB, which we will continuously optimize, will provide a growing number of customers with an ever-better experience.