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: Database, Enterprise Data Strategy, IT Performance, Analytics, Business Analytics, Business Intelligence, Chief Information Officer, Complex Event Processing, In-Memory Computing, Information Management, Information Technology
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.
The battle for business analytics rages on. IBM, Oracle, SAP and SAS as billion dollar and larger companies each combine analytic computation and processing in the underlying data but Teradata remains a key player. For its part Teradata used its annual Partners conference to tout the next generation of analytics in its product portfolio and brought along customers to testify to their success in using its technology.
This year IBM joined its annual Information on Demand conference with the new IBM Business Analytics Forum. Some 10,000 attendees came to learn about managing information assets using analytics for business, and the value of integrating business intelligence (BI) with information assets across the enterprise. All these topics are relevant, as large organizations have created thousands of silos that house data in many enterprise and personal computing environments. The conference was highlighted by the announcement of Cognos 10 that my colleague analyzed and of IBM’s emphasis on the business value of BI for performance management. The focus on business analytics is now a key part of the company’s overall strategy, and IBM has committed more trained consultants and employees to this market than anyone else.