Guest post by
Swati Maskara, Senior Associate Consultant, Infosys
Essbase is an established multidimensional database platform to build analytical reporting and financial solution. As this analytical solution deals with huge volume of data along with complex and varied retrieval needs of users across an enterprise, the focus has always been to design the cube in order to optimize performance. The product however has its own set of best design principles but when applied in practical situations, we as developers face a choice between following the design principles and meeting the business requirement.
"Issues around performance are a byproduct of customizing any Essbase cube in order to include the dynamics of real world reporting and analysis"
With the introduction of a new appliance from Oracle's Exa Fleet of products, "Exalytics" which comes with the capability of placing the entire Essbase cube in the RAM and reporting over it, the performance gains expected are huge along with improved capability to take care of Parallelism and concurrency. This vastly claims to reduce data query response time and facilitate faster and timely availability of analytical data, much required in today's dynamic and competitive market where actionable insight is the key to success. Exalytics appliances claim to scan databases at a rate of 200GB/sec.