Tableau Software officially released Version 6 of its product this week. Tableau approaches business intelligence from the end user’s perspective, focusing primarily on delivering tools that allow people to easily interact with data and visualize it. With this release, Tableau has advanced its in-memory processing capabilities significantly. Fundamentally Tableau 6 shifts from the intelligent caching scheme used in prior versions to a columnar, in-memory data architecture in order to increase performance and scalability.
Interest in and development of in-memory technologies have increased over the last few years, driven in part by widespread availability of affordable 64-bit hardware and operating systems and the performance advantages in-memory operations provide over disk-based operations. Some software vendors, such as SAP with its High-Performance Analytic Appliance (HANA) project has been advancing with momentum, have even suggested that we can put our entire analytic systems in memory.
Topics: Analytics, Business Analytics, Business Intelligence, Complex Event Processing, Database, Enterprise Data Strategy, In-Memory Computing, Information Management, Information Technology, CIO, IT Performance Management (ITPM)
In the weeks leading up to and as part of its Information On Demand Conference that my colleague assessed, IBM introduced version 8.5 of InfoSphere Information Server and several related product updates. As my colleague suggested earlier, IBM has an ambitious agenda to provide comprehensive information management capabilities through a combination of product development and acquisitions. The breadth of this portfolio is impressive, and InfoSphere Information Server 8.5 makes significant strides in tying the various pieces together.
On October 25, IBM introduced Cognos 10 at its Information on Demand and Business Analytics Forum in Las Vegas that I attended to review the technology closer from my examination at its recent IBM Business Analytics analyst summit in September. According to Rob Ashe, IBM’s general manager of business analytics, Cognos 10 has been developed for over six years. You’re probably aware that in that period IBM made a variety of acquisitions including Cognos itself. These acquisitions and their impact on the new product are clearly in evidence as part of the release.