Don’t get trapped by your application server vendor.
As IT departments struggle to do more with less, many are looking to gain new efficiencies from the infrastructure that supports their business applications.
This puts Oracle WebLogic customers in a rather difficult position: the updated software that they need to save money is itself becoming more and more expensive. How much more? Since 2008, licensing costs for Oracle WebLogic Enterprise Server Edition have gone up 47%1.
Luckily there is a way out of this paradox. By migrating to IBM WebSphere Application Server, Oracle customers can save on licensing fees and get the application infrastructure virtualisation capabilities they need to save even more.
The difference is clear. In the United States, using prices applicable in the United States, it has been calculated that with IBM, you pay less and get more:
These comparisons may not be relevant in Australia.
Not to mention that Oracle charges for every CPU on a server, even if it’s soft-partitioned – IBM only charges for CPUs that are in use. Unlike IBM, Oracle doesn’t even offer support for popular server virtualisation solutions such as VMware, PowerVM, and z/VM in their application infrastructure management solutions.
The more you look at the facts, the clearer it becomes: WebSphere delivers better IT economics.
Compare IBM® WebSphere® and Oracle WebLogic head-to-head on cost, performance and support.
1 Based on US based publicly available information and prices applicable in the US as of 5/13/2011 comparing Oracle WebLogic Server Enterprise Edition to IBM WebSphere Application ServerNetwork Deployment, both on an IBM Power 730 Express server (2 chips, 8 cores each). The IBM Business has confidence that this information has not changed and is still valid.
This claim is based on Oracle WebLogic Server and WebSphere Application Server list prices for single system. The system used in the comparison was an IBM Power 730 Express Server. Based on the analysis, the following statements can be made:
Details of pricing analysis: