PRODUCT | 产品中心 |
CSS OVERVIEW CSS 概观 APPLICATIONS 应用价值
SCALEFLUX COMPUTATIONAL STORAGE SCALEFLUX 计算存储
CSS 1000 SERIES CSS 1000 系列
Server Configuration
CPU: Dual E5-2620v3
DRAM: 128GB
Network: Dual 10GigE bonded
OS: CentOS 7.3
服务器配置
CPU: Dual E5-2620v3
DRAM: 128GB
Network: Dual 10GigE bonded
OS: CentOS 7.3
Vitesse DeepgreenDB is a scalable MPP data warehouse solution derived from the open source Greenplum Database Project. While maintaining 100% compatibility with the open source GPDB project, Deepgreen DB has a next-genaration query processor enhanced with (1) better join and aggregation algorithms, (2) new subsystem to handle spills, and (3) advanced techniques that maximize CPU performance through JIT-compiled query execution, vectorized scans, and data-path optimization. Learn more at vitessedata.com/deepgreen-db. Vitesse DeepgreenDB is a scalable MPP data warehouse solution derived from the open source Greenplum Database Project. While maintaining 100% compatibility with the open source GPDB project, Deepgreen DB has a next-genaration query processor enhanced with (1) better join and aggregation algorithms, (2) new subsystem to handle spills, and (3) advanced techniques that maximize CPU performance through JIT-compiled query execution, vectorized scans, and data-path optimization. Learn more at vitessedata.com/deepgreen-db.
2.3x Better Query Time 2.3x Better Query Time
CSS Compression minimizes overhead CSS Compression minimizes overhead

In this battery of query time tests, CSS comes out to an average of 73 seconds vs. CPU compression's average of 154 seconds. CSS also compresses data more efficiently (317GB vs. 360GB), yielding an overall 2.3x efficiency advantage.

In this battery of query time tests, CSS comes out to an average of 73 seconds vs. CPU compression's average of 154 seconds. CSS also compresses data more efficiently (317GB vs. 360GB), yielding an overall 2.3x efficiency advantage.

FASTER LOAD AND TRANSFER TIME FASTER LOAD AND TRANSFER TIME
UP TO 7.3X THE EFFICIENCY UP TO 7.3X THE EFFICIENCY

Data loading and transfer times are reduced with CSS compression. In addition, data warehousing apps are more responsive.

Data loading and transfer times are reduced with CSS compression. In addition, data warehousing apps are more responsive.

SMALLER DATABASE SIZE --
PERFORMANCE GAINS DESPITE SMALLER FOOTPRINT --