Kognitio, a fast-growing leader in the field of business intelligence and data warehousing, today announced the launch of Pablo, which provides the performance of physical cube databases without the costs, complexities and latency that always accompany them. Pablo enables ordinary users to build and query virtual cubes on the fly so they can discover insights from massive amounts of data in near real-time, allowing “train of thought” analysis.
Pablo also helps bring data analytics to the masses by eliminating the need for costly and complex front-end applications. Pablo’s MDX connector allows users to perform sophisticated data analysis using any MDX-compatible tool such as a simple Microsoft Excel worksheet.
“Cubes have always given in-depth analysis, but only if organisations can deal with the limitations. For example, production is extremely time-consuming, processes are slowed down and IT needs to be involved at every step. Now, with Pablo, we are able to remove a huge number of those, ” said John Coppins, Product Director at Kognitio. “Instead, organisations are much closer to the ideal of “train of thought” analysis, where data can be studied and endlessly queried by the user almost as soon as questions come to mind. Furthermore, this is available to them natively within Microsoft Excel and other high performance analytical tools.”
Pablo works with Kognitio’s WX2 to create in-memory images of an organisation’s transactional database or data warehouse. By combining this with a metadata layer and MDX Connector, Pablo allows transactional data from various business functions - such as CRM, Financial and HR - to be stored directly in the WX2 database and then formed into ad-hoc virtual cubes as and when required. Since all information is accessible by Pablo at all times, there is little extra time or other resources needed to construct the virtual cube, massively reducing latency and the TCO of using data. By allowing “train of thought” analysis, it becomes possible to dig much deeper into data and answer highly specific queries on the spur of the moment. For example, retailers who need to capitalise on fast-moving customer trends can do so without missing the opportunity.
"The need for diverse types of analytics is the strongest trend in data warehousing and business intelligence today," said Philip Russom, senior manager of research at TDWI. "To get the most out of analytics, users are looking for new platforms that are built for analytics, in that they support in-memory databases, MPP architectures, and - of course - very, very large analytic datasets. In addition, a key requirement of today's extreme what-if analytics is that an analytic platform must be data model agnostic and perform very well with highly complex ad hoc queries against detailed source data. Kognitio Pablo pulls all this together in a new analytic platform that's geared for high user productivity and system performance with today's demanding analytic requirements."
Kognitio’s Pablo will be available from June 1, 2011. Pricing is available on request.
Kognitio (kognitio.com) is a long-standing innovator in the data warehousing, business intelligence and analytics markets. The company has pioneered many of the technologies now employed by state-of-the-art data warehouse/BI systems including the industry’s first in-memory analytic database, data warehouse appliance, MPP shared-nothing database, and Data warehousing as a Service (DaaS) cloud-based solution. Kognitio’s award-winning WX2 product is the industry’s fastest and most scalable analytic database, enabling firms to turn massive amounts of raw, complex data into valuable insight to solve their most urgent business problems. Its clients span many industries including market research, consumer packaged goods, retail, telecommunications, financial services, insurance, gaming, media and utilities. Kognitio is based in Bracknell, UK, with North American headquarters in Chicago and offices in New York, Raleigh, Minneapolis and other U.S. cities.