Speed is the Reason for any Database
Speed is the most fundamental measure of database performance. The patented Ancelus database handles a simple R/W operation in under 100 nanoseconds regardless of the size of the database (up to 16 exabytes). Those two elements, speed and size, are unique in the industry. While other systems are claiming 20% or 30% faster performance, Ancelus speed delivers 1,000X to 10,000X performance improvements. Ancelus speed is not in the same league as "speed."
So, what if your current database is “fast enough” for the current application? Does that mean you don’t care about a faster database? We think you should. Most people think of this in terms of how long a user waits for a response. "If user complaints are generally under control we’re probably OK" is the standard refrain. But what does it take to get it done?
Ancelus speed is a new game. What if you could reduce the number (or size) of servers needed to accomplish the job by 5X or 10X? What if you needed to add more functionality to your application, but the current architecture prevented it? What if the size of the system is growing and concerns about degraded future performance is an issue? What if you want to operate in the cloud, where you can have access to as many servers as it takes (as long as you have an infinite budget)? What if your user base is growing and putting pressure on the hardware to stay ahead? Ancelus speed is in a different league from anything else you’ve seen.
If you’re going to deploy in the cloud, you may get a rude shock on how much that convenience costs. Ancelus eliminates those budget-buster month end surprises by eliminating hardware bloat. We'd be happy to show you how.
For more information: www.ancelus.com
P.S. The current release of Ancelus is actually a 23 Light-Yard database, but we really liked the graphic, so we stayed with it.
Craig Mullins, President & Principal Consultant at Mullins Consulting, Inc. IBM Gold Consultant and IBM Champion for Data and AI
5 年Executing a R/W operation in?under 100 nanoseconds is truly impressive, especially for a large database