Adaptive Server Enterprise is the mission-critical data management system for taming the information explosion.
Adaptive Server Enterprise (ASE) has long been noted for its
reliability, low total cost of ownership and superior performance. With
its latest version, ASE 15, it has been dramatically enhanced to
deliver capabilities urgently needed by enterprises today. It lays the
long-term foundation for strategic agility and continuing innovation in
mission-critical environments. ASE 15 provides unique security options
and a host of other new features that boost performance while reducing
operational costs and risk. Find out how you can exploit new
technologies such as grids and clusters, service-oriented architectures
and real-time messaging.
ASE:企业及数据库服务器,适合用于企业级OLTP(和混合负载)环境
The industry-leading mobile and embedded database,
providing data management and exchange technologies that enable
applications for frontline environments.
SQL Anywhere provides data management and exchange technologies
designed for database-powered applications that operate in frontline
environments without onsite IT support. It offers enterprise-caliber
features in a database that is easily embedded and widely deployed in
server, desktop, remote office and mobile applications.
ASA(Adaptive Server Anywhere):轻量级数据库服务器,适合用于移动计算(PDA、带操作系统的手机等)/嵌入式计算(POS机、路由器等),和工作组级OLTP环境,特别是移动计算/嵌入式计算。(我估计ASA现在改名叫SQL Anywhere了)
The smartest way to deliver high-performance enterprise
analytics and data warehousing with dramatically faster results at a
low cost.
Sybase IQ is a highly optimized analytics server designed specifically
to deliver faster results for mission-critical business intelligence,
data warehouse and reporting solutions on any standard hardware and
operating systems. It works with diverse data – including unstructured
data – and diverse data sources to deliver unsurpassed query
performance at the lowest price/performance available.
ASIQ:企业级数据仓库数据库服务器,适合于DSS环境中的企业级数据仓库和数据集市
谨以此篇记录我开始Sybase之旅的第一步
posted on 2008-03-10 16:33
Jcat 阅读(300)
评论(0) 编辑 收藏 所属分类:
Database