A strong performer — analyticdb, Alibaba cloud’s native data warehouse

Time:2021-5-13

Introduction:On March 24, 2021, Forrester, the global authoritative it analysis organization, released the latest cloud data warehouse Research Report – “the Forrester wave: cloud data warehouse Q1 2021”. Alibaba cloud became the only Chinese cloud manufacturer selected for this evaluation. Alibaba cloud data warehouse, with “analyticdb” as one of the core representatives, has created the best performance of domestic data warehouse products in the list, and entered the “strong performers” quadrant, representing the high recognition of the industry authority on the strong strength of analyticdb (hereinafter referred to as ADB).

On March 24, 2021, Forrester, the global authoritative it analysis organization, released the latest cloud data warehouse Research Report – “the Forrester wave: cloud data warehouse Q1 2021”,Alibaba cloud became the only Chinese cloud manufacturer selected for this evaluation. Alibaba cloud data warehouse, one of the core representatives of “analyticdb”, has created the best performance of domestic data warehouse products in the list, and entered the “strong performers” quadrantIt represents the industry authority’s high affirmation of the strong strength of analyticdb.

A strong performer -- analyticdb, Alibaba cloud's native data warehouse

The report makes a detailed comparison and analysis of 13 top manufacturers in the world from the three dimensions of existing product capability, strategy and market performance with 26 scoring standards.Alibaba cloud is the only Chinese manufacturer shortlistedAnd from the “competitors” quadrant in Q4, 2018 to the “strong performers”.

As the first cloud native data warehouse in China, analyticdb adopts the architecture of storage and computing separation + multi copy high availability. The computing and storage resources can be flexibly scaled on a large scale on demand. The computing node supports the elastic scaling from one node to 5000 nodes, and can realize the data storage computing from GB to Pb level.

In order to meet the demands of a variety of analysis scenarios, traditional data analysis systems usually need to combine multiple systems such as OLTP, OLAP, offline computing and stream computing. Data interaction between different technical systems is carried out through complex ETL logic. The overall scheme complexity, economic cost and learning cost are very high. In order to reduce the threshold of enterprise data analysis and enable enterprise digital transformation, analyticdb adheres to the design concept of “integration in offline”, and provides data mining and analysis capabilities integrating real-time update, detail query, interactive aggregation analysis and offline calculation.

A strong performer -- analyticdb, Alibaba cloud's native data warehouse

In the tpc-ds 10TB benchmark for complex analysis scenarios released by TPC, the authoritative evaluation organization of database and big data,Analyticdb performance indicators set a new world record and ranked first in the list.In the TPC-H benchmark of transaction and analysis mixed load released by TPC authority,Analyticdb also broke the world record of TPC-H 30tb performance listCompared with the second Microsoft SQL Server 2019, the performance is improved by 290%, which solves the performance bottleneck of traditional data warehouse in the digital era.

At the same time, analyticdb is also the only distributed database product that has passed the evaluation and double certification of distributed analytical database basic ability and performance special project and distributed transactional database basic ability and performance special project of China information and Communication Research Institute.

From internal support to double 11, to product commercialization and Yunyuan biochemical, mature products cannot do without the spur of the market and customers. At present, analyticdb has been widely used in finance, Internet, biomedicine, energy, transportation, new retail and digital government,Service China Post, China Southern Airlines, Haier, Jiangmen rural commercial bank, Tianhong fund and other customers. Among them, the data analysis platform built by China Post on the basis of analyticdb supports the multi-dimensional analysis of double 11 billion mailing data and customer relationship data. Jiangmen rural commercial bank uses analytical DB to replace the traditional DB2 database to complete the upgrade of self-service analysis platform, which meets the needs of various business scenarios such as banking business reports, management accounting, risk control, marketing and so on.

Li Feifei, head of Alibaba cloud database, said, “analyticdb will continue to increase investment in core technology research and development, productization and ecological construction, help customers further accelerate the cloud and real-time process of data warehouse, and become an infrastructure for enterprise digital transformation and upgrading and data value linearization.”

Forrester concluded: alicloud data warehouse service provides a wide range of infrastructure, platform and analysis services, and has obvious leading advantages in product dimension, including analyticdb and maxcompute   And dataworks   Services, covering 16 countries and regions, to support a variety of large-scale data warehouse customers, involving the financial, Internet, biomedical, energy, transportation and media industries.

Copyright notice:The content of this article is spontaneously contributed by alicloud real name registered users, and the copyright belongs to the original author. The alicloud developer community does not own its copyright, nor does it bear the corresponding legal responsibility. For specific rules, please refer to the user service agreement of alicloud developer community and the guidelines for intellectual property protection of alicloud developer community. If you find any suspected plagiarism content in the community, fill in the infringement complaint form to report. Once verified, the community will immediately delete the suspected infringement content.