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Gartner 2022 云数据库管理系统魔力象限报告.pdf
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26页
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2022-12-21
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Strategic Planning Assumptions
By 2025, 90% of new data and analytics deployments will be through an established data ecosystem, causing
consolidation across the data and analytics market.
Through 2024, organizations that adopt aggressive metadata analysis across their complete data management
environment will decrease time to delivery of new data assets to users by as much as 70%.
Market Definition/Description
Gartner defines the Cloud DBMS market as follows:
Core capabilities are that vendors fully supply provider-managed public or private cloud software systems that
manage data on cloud storage. Data is stored in a cloud storage tier. Optionally, they may cater to multiple data
models and data types — relational, nonrelational (document, key value, wide column, graph), geospatial, time
series and others.
These DBMSs reflect optimization strategies designed to support transactions and/or analytical processing for
more than one of the following use cases:
This market does not include vendors that only provide DBMSs hosted in infrastructure as a service (IaaS), such as
in a virtual machine or container managed by the customer.
Magic Quadrant
Magic Quadrant for Cloud Database Management Systems
Published 13 December 2022 - ID G00763557 - 71 min read
ByHenry Cook, Merv Adrian, Rick Greenwald, Xingyu Gu
The market is converging on a set of advanced capabilities resulting in a complex landscape ready to launch
into the next wave of disruption. This Magic Quadrant will help data and analytics leaders make the right cloud
DBMS choices in a complex and fast-evolving market.
OLTP transactions
Lightweight transactions
Augmented transactions
Stream event processing
Traditional data warehouse
Logical data warehouse
Data lake
Stream analytics
Figure 1: Magic Quadrant for Cloud Database Management Systems
Vendor Strengths and Cautions
Alibaba Cloud
Alibaba Cloud is a Leader in this Magic Quadrant. Its DBMS offerings include PolarDB (compatible with MySQL,
PostgreSQL and Oracle) and PolarDB-X for operational use cases. For analytical use cases, it offers AnalyticDB and
MaxCompute. It also provides Lindorm, Graph Database (GDB) and Tair for nonrelational and real-time use cases.
Alibaba Cloud’s operations are primarily based in China, but it also has a global presence including APJ, Middle
East, Europe, North and South America based on its global headquarters in Singapore. Its DBMS customers cover a
wide range of industries and different organization scales.
Strengths
Cautions
Source: Gartner (December 2022)
Breadth of Product Portfolio and Vertical Presence: Alibaba Cloud offers a wide range of DBMSs for operational,
analytical, multimodal and real-time use cases. Combined with its cloud infrastructure, AI and SaaS solutions,
Alibaba Cloud has delivered success stories in various industries including finance, retail, logistics, gaming,
automobile and others.
Proven High-Performance Capability: PolarDB is well-known for its capability to handle extremely high
concurrency and elasticity use cases. Alibaba Cloud has delivered many proven results for this capability, both
internally such as the “Double 11” Global Shopping Festival in November and externally for gaming and retail
clients.
Business Viability: Alibaba Cloud is the largest cloud service provider in China and Asia by market share, and the
fourth largest cloud service provider in the world by revenue. Its cloud DBMS business is growing at a high rate.
With Alibaba Group’s continuous focus on enterprise business and foundational technology innovation,
organizations can expect a sustainable product evolution and service enhancement for DBMS.
Limited Growth in Europe and North America: Alibaba Cloud does not have breakout business progress outside
of China and APJ region, especially in North America and Europe. It plans to be more aggressive in exploring
global operations, such as by expanding its partner ecosystem and local service teams.
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