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Vectornova designs and produces VectorStarTM, the performance leader among the new generation of columnar database engines that are revolutionizing the analytical database landscape in the Information Technology industry (IT).
Our technology enables your organization to easily efficiently load, transform, analize, and query thousands of millions of data records totalling hundreds of terabytes, making the results immediately available to thousands of users, all under strict rules of access control, authorization, and auditing (AAA) while dramatically reducing implementation time and total cost of ownership (TCO).
If your organization is struggling with crippling IT
performance bottlenecks or escalating IT costs due to explosive growth in data
volumes, you could do worse than to contact us.
Watch your data turn into information in real time. Real Fast.
What is it?
VectorStar is a vectorized columnar Relational Database Management System (RDBMS) that also provides true multidimensional cubes and supports both shared-nothing and shared-disk (SAN) storage architectures. VectorStar's stateless on-demand query process model (users are never consuming resources except when actually peforming a query) results in a very small footprint 64-bit application that runs on commodity hardware (Intel-AMD x86-64 CPUs) using standard operating systems (Windows Server, Linux, FreeBSD Unix, and Mac OS/X). VectorStar is not an in-memory database, it interacts with data stored persistently on disk using both standard ANSI SQL and VectorSQL, a vectorized functional SQL dialect.
How fast is it?
Key to VectorStar is its extreme speed: up to one thousand times faster than leading traditional row-based RDBMS (you know who we mean) when performing complex analytical queries on large amounts of data from multiple tables. Up to 100 times faster when measured against our competitors using column-based software database technology (you may know who we mean).
VectorStar price/performance is unparalleled: when measured against the most expensive propietary hardware-based appliances in the market (right, we mean those two), it can either provide 10 times the speed at the same price or, better yet, the same speed at 1/10th the price.
Who uses it?
VectorStar is used by large government organizations, federal security agencies and state police forces, international banks, telcos, retailers and insurance agencies to build their largest mission-critical data warehouses and data marts.
Raiffeisen ZentralBank Österreich AG (RZB, one of Austria and Central Europe's leading banks with a balance sheet in excess of € 150+ billion) provides a great example of what customers are doing with our product. In fact, our users at RZB have been so happy with our product and technical support over the past year that they are nominating us to the The Banker Technology Awards of 2009:
"VectorStar enabled RZB to:
• implement VaR (Value at Risk) aggregations in a 2 week implementation time
• run VaR aggregations for 15 billion NPVs (Net Present Values) in less than 10 minutes... this is 100 times faster than compared to traditional implementations
• use off-the-shelf standard hardware components and thereby reduce the sum of software and hardware investments and maintenance costs (for a comparable high-performance VaR aggregation) by a factor of 100
• setup
a high-performance
and extremely flexible platform for all kinds of vector and
statistical operations in the bank"
-- Dr. Stephan Schäffer, Project Manager
For more information regarding the use of VectorStar at RZB please click here.
Why is it so fast?
The very high performance of VectorStar is the result of a synergistic combination of state of the art features, a few of which may be found in competing products, though usually in isolation.
For example, we use state of the art memory mapped file I/O techniques to achieve both extreme speed and utmost reliability when accessing data on disk. Well, it turns out that this feature, when coupled with a data architecture that is both columnar and vectorial, results in extreme non-linear gains in simplicity and performance.
Similarly, VectorStar's unique data storage achitecture allows it to benefit from the strict level of security and access control provided by modern secure operating systems avoiding the need to provide an extra layer of security mechanisms on top.
VectorStar takes full advantage of some of the most advanced technologies in IT: the very high performance J programming language for multidimensional array computing; the extremely reliable Erlang Open Telecommunications platform for distributed computing; and the industry-standard R platform for statistical computing.
Is it Open Source?
Most of VectorStar code is Open Source with the sole exception of a relatively small core kernel which is closed and is provided as a binary for each supported platform. We will soon establish a public git repository to foster the public collaboration with the Open VectorStar project. The source for the kernel binaries is available to interested qualified parties for a fee: if your corporation will be using VectorStar for a mission-critical project, this option should keep you in control.
Price?
For any reasonably demanding combination of level of performance desired and hardware required, VectorStar will be a very cost-effective option among all commercial analytic database engines. There is a 32-bit trial version available that can be downloaded for free. We also offer a zero-risk proof-of-concept (POC) service to qualified customers.
When was it first deployed?
Designed during 2002 and 2003, the first paid customer deployment of VectorStar was as an embedded database engine in October 2004. During the three year period spanning 2005 through 2007 VectorStar was licensed almost exclusively to government security-enforcement organizations and most of the installations were done under strict Non Disclosure Agreements (NDA). After those years of operating in stealth-mode during which we essentially field tested and matured the product under very demanding conditions, we brought VectorStar to the general market in 2008. The current version is VectorStar 2.1.
Where is it available?
We are a globally distributed software technology company (à la MySQL before the acquisition by Sun) with developers in Austria, Germany, Spain, Czech Republic, Brazil, Mexico, and Canada. We're privately held and legally incorporated in several of the regions where we do business. Latin American headquarters are located in San Pedro, Monterrey, NL, Mexico.
VectorStar is currently sold in Europe and Latin America.
VectorStar is not yet available in North America. We are working towards a 4Q09 or 1Q10
availability date.
