《2021年中国数据管理解决方案市场报告》_沙利文.pdf
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2021
China Data Management Solutions Market Report
2021年中国数据管理解决方案市场报告
2021中国データ管理ソリューション市場レポート
Tags: Data lakehouse, Data lake, Data Warehouse, Serverless, Machine learning
(Summary Version)
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LeadLeo Research Institute
Frost & Sullivan (China)
Sullivan Market Insight
www.leadleo.com
400-072-5588
China: Data Management Series
2
As two separate data management paradigms, data warehouse and data lake both have
mature technology accumulation. In long-term practice they co-exist in a hybrid architecture
of lake + warehouse: data lake is used for extraction and processing of original data, while
relying on data warehouses for publishing in the data pipeline.
Driven by the needs of users, data lake and data warehouse providers expand the original
paradigm to the limits of its scope, and gradually form two paths of “data lakehouse”, namely
"warehouse on lake" and "warehouse to lake”. Although in the underlying logic, lake-
warehouse integration is still a binary system, but it can greatly help users to encapsulate a
big data paradigm more closely with their needs on the basis of their original IT basis, or
directly mount the lake-warehouse integration system with fully hosted services.
Technology Trends
Instruction
Frost & Sullivan hereby releases the annual report "China Data Management Solutions Market Report
2021" as part of the China Data Management Series Report. The purpose of this report is to sort out
the development trends of data warehouse, data lake, and intelligent lake warehouse products and
technologies. Based on the current development situation of China data management market, this
report provides insight into the characteristics of users, market stock space and incremental space,
and determines the position of various competitors in the field of data management solutions based
on the market development prospect.
Frost & Sullivan and LeadLeo Research Institute conducted downstream user experience surveys on
core products in the data management solutions field. Respondents are of different sizes and in
different segments in each of its industry that includes finance, consumption, pan-entertainment,
telecommunications, energy, transportation, manufacturing, government and other fields.
Trends in data management solutions presented in this market report also reflect trends in the
database industry as a whole. The report's final judgment on market ranking and leadership echelon
are only applicable to the industry development cycle of this year.
Abstract
The demand for professionals with 1-5 years of work experience is the highest in the talent
market. Data analysts and data scientists have better average salary and salary increase. The
demand structure for data management talents varies from industry to industry, with
significant demand for data development engineers in IT and Internet industries, and
significant demand for data analysts in retail and e-commerce industries.
Security and stability, full functionality, compatibility, cost reduction and efficiency,
performance, and expansion limits are the six demand dimensions concerned by users of data
management solutions. Machine learning scenarios, open source engine compatibility, and
business continuity are the demand keywords emphasized by interviewed users.
From an enterprise perspective, it is easy to fall into the trap of hidden costs and unmet needs
without digging into the details of products and services, since products from different
providers look similar. Solution selection needs to focus on pricing structure, multi-cloud
deployment, artificial intelligence, universal adaptation and other dimensions to
comprehensively judge the product and service solutions and quotations from different
vendors.
Market Analysis
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