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SequoiaDB maintains its dominant position in China’s distributed database market

by techsterhub bureau
March 13, 2023
SequoiaDB maintains its dominant position in China's distributed database market
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China’s largest distributed database provider, SequoiaDB, has just been honored in two key data management industry surveys. SequoiaDB has been recognized as a representative database vendor for the Chinese market in Gartner’s “Market Guide for DBMS, China” study, marking the first time Gartner has provided guidelines for this market. The paper studies the Chinese database industry and emphasizes its development tendencies, demonstrating that DBMS technology in China will continue on its current path over the next five years.

According to Gartner, the Chinese market has specific requirements, and Lakehouse integration, better transactions, and a distributed transactional database are critical product features and performance characteristics. The survey identified banking, telecommunications, government affairs, manufacturing, and the internet as the five industries with the highest downstream need for database services. The financial industry has the strictest data needs and the highest data intensity among these businesses. Several domestic financial organizations have data quantities in excess of 100TB, and the variety of data formats in the financial sector is continually expanding. The integrated technical architecture of SequoiaDB’s Lakehouse may assist businesses in constructing a new and unified data platform, with extensive data governance and speedy production deployment.

In addition, SequoiaDB has been selected for inclusion in Forrester’s “The Data Management For Analytics Landscape In China, Q4 2022” report, which introduces the business value, business development maturity, well-known manufacturers in related fields in China, and popular use cases, thereby enhancing enterprises’ understanding of data analysis management.

From the inception of SequoiaDB in 2012, the firm has been aware that the value of big data is not confined to offline analysis of Hadoop, and that real-time processing skills are an efficient method of adding value to data, according to Jordan Tang, CEO of SequoiaDB Founder. The firm has created an innovative Multi-Mode data lake capability with the benefits of unified storage of picture file data and metadata, High-Performance reading and writing, simple management and maintenance, as well as Multi-Activity and disaster recovery. Additionally, the company’s new generation of domestic distributed database product SequoiaDB supports hybrid multi-mode data storage on the same engine, high concurrent query, and processing of massive amounts of data, and is capable of handling online processing, data middle platform, distributed content management, and other applications.

SequoiaDB has been running in the core production system of more than 100 Chinese financial institutions for years, boosting the localization and digital transformation of the financial sector. Over nearly a decade of research and development, SequoiaDB has created technologies with distinct benefits, cooperating with upstream and downstream partners to enhance ecosystem compatibility and support the information innovation ecosystem. To unleash the value of data, SequoiaDB will expand the capabilities of technology, products, ecosystems, and services in the future.

 

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