IBM Monday ratcheted up its database software line with the introduction of a new suite that automates the process of defining, describing and indexing information contained in the database.Called Cube Views (formerly code-named Aurora), the new business intelligence middleware uses algorithms to automate the creation of online analytical processing (OLAP) metadata so that it can be examined from many points of view. OLAP technology lets users compare and contrast information.Using OLAP, a user can request that data be analyzed to display a spreadsheet showing a company’s products sold in a state in the month of July, compare revenue figures with those for the same products in another month, and then see a comparison of other product sales in that state for the same time period.
Armonk, N.Y.’s IBM competes with the likes of Microsoft and Oracle in this segment of the database market, which Nigel Pendse, author of OLAP Report, said was worth $3.5 billion in 2002. The attraction of Cube Views, said IBM Director of Business Intelligence Development Anant Jhingran, is that it makes it possible for OLAP metadata to be created once and shared numerous times with end users, programmers and other business intelligence applications during every phase of data gathering and analysis. Programmers can use metadata to aggregate data into four-dimensional, or “cube-like” charts, which show data from different perspectives.
For example, Jhingran told internetnews.coma cube may show product sales by region, time period, salesperson, profit margin and marketing campaign. With Cube Views, one department can use a particular application to look at their product from a historical perspective, while another department can use a different set of tools to predict future sales for another product or region. End users can then use a variety of query and reporting tools from different vendors that best suit their particular analysis needs.
Redmonk Senior Analyst Stephen O’Grady said the moe was part of a trend in the database software market where data transformation and reporting features are added to the core database. He cited Microsoft’s Yukon as another product that has added this type of functionality toits reporting and analytics embedded functionality.
“This announcement is also well timed given the importance the BI tools carry within many enterprises right now, and the initiatives that are currently underway with many BI customers to extend their BI data to new employee segments as well as making it more relevant, more digestible, and more insightful,” O’Grady told internetnews.com.
According to Jhingran, the automation of this process makes Cube Views another piece of software in the large e-business on-demand strategy for IBM, a field consisting of many players, including HP, Sun Microsystems, Veritas Software and computer Associates.
Rather than go against the grain of leading business intelligence specialists, Jhingran said 15 vendors, including Brio, Crystal Decisions, Cognos, Microstrategy, Informatica and Business Objects, are supporting the new IBM tool because the technology is standardized in the database and is complementary to their offerings. Jhingran said this is something that Microsoft and Oracle do not provide. Rather, they opt to vest their interests in their own front-ends for OLAP.
“It’s certainly a logical progession that database makers continue to enhance the value add that their RDBMS products offer; what is a bit more difficult, however, is accomplishing this without stepping on any partners’ toes,” O’Grady said. “IBM seems to have managed this successfully, however, because the partner support for the product is excellent.”
Charles Norman, director of business development at Embarcadero Technologies discussed his company’s OLAP partnership with IBM for Cube Views.
“Metadata management and integration can be a tricky problem, especially when supporting multiple constituencies with unique business and technical requirements,” Norman said. “The hub and spoke architecture of IBM’s Metadata Management platform enables seamless sharing of metadata across all the leading BI and ETL vendors -this is a huge benefit for our DT/Studio customers because, right out of the box, it provides metadata integration with all the major BI vendors tools. We are thrilled to see this type of database infrastructure technology made available in the market.”
Other features of Cube Views include a “performance advisor” that automates the information gathering and tagging process and, because data is suited for certain query methods, third-party business intelligence applications can work faster. Cube Views also features a XML-based Web Services interface that yields answers to queries in a more accessible format.
Jhingran said the IT world can expect more feature-rich business intelligence products down the road from IBM, but would not delve into specifics. However, he reiterated that IBM’s belief is that business intelligence is best leveraged in a single version in and around the data warehouse, providing opportunities for greater scalability and expansion of data management and analysis.
Cube Views, slated for a June 27 release, will be $7,500 per CPU.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.