本次测试基于Intel Xeon 7550*8的PC服务器上用VMWare VSphere 4.1管理的虚拟机，虚拟机的逻辑CPU个数是8，内存100GB，存储为8个300GB SAS本地磁盘，采用一块512M缓存RAID卡，按RAID5方式组成磁盘阵列。操作系统采用和RHEL 5相同的核心级别的RedFlag Asian Linux Sever 3.0 x64。
To contact me, please write to marcin at vectorwise dot com.
VectorWise
In 2008 the MonetDB/X100 project described further on this page has been converted into VectorWise, a company which I currently manage.
VectorWise cooperates with Ingres, the leading open-source database company, on the Ingres VectorWise product.
Research
Between 2001 and 2008 I was a member of the MonetDB development team. My initial work with MonetDB concentrated on parallel query execution, which resulted in my master’s thesis (pdf).
From 2003 I was working on the MonetDB/X100 project under the supervision of Peter Boncz and Martin Kersten.
This project resulted in my PhD thesis and was a base for the VectorWise company
Durwin Wright and Ken Linder explore the UFT8 and Unicode features of OpenRoad 6.0. They will demonstrate Multi-lingual application development. Simplicity of OpenRoad compared to Java or C#.
System Error 127 = The Specified Procedure Could not Be Found
When adding an ODBC data source for a new vnode and selecting the Database, it gives an error: Connection failed. Specified driver could not be loaded due to system error 127(Ingres).
This can occur with Hummingbird BI(Business Intelligence) Query, but the problem is not specific to that.
TOKYO, JAPAN, June 19, 2012 - Actian Corporation today announced that Medical Data Vision, a medical software and service provider to Japanese hospitals and healthcare providers, has selected the record-breaking analytical database, Vectorwise, to power their Evidence Based Medicine service….
Vectorwise represents a step-change in database technology. By unlocking the capabilities of the modern chip, our customers and partners report 10x–70x better performance benefits for analytic workloads. Those queries which currently take you minutes can be cut to seconds. The answers you’ve been told are too expensive to compute can be delivered using commodity servers and don’t require expert tuning. Vectorwise can power your business in four easy steps: install, load data, gather statistics and start running queries. This skips over complex, time-consuming steps such as complex schema, data load design and expert tuning that you would normally expect to take hours or even days.
