- How to make new stuff from your piles of obsolete tech
- Why your computer sucks
- 10 recession-proof IT skills
- Juniper execs share network vision
- 9-year-old plots his fifth Microsoft certification
Analytic databases are the principal engines driving business intelligence, delivering operational data into reports, dashboards and ad-hoc queries.
Essential as they may be, analytic databases have been largely overlooked in the business intelligence industry's recent consolidation spree. Sitting at the core of data warehouses everywhere, these data stores have been treated as mere plumbing rather than as differentiating platform components.
Instead, most recent business intelligence mergers have been driven by vendors' desire to beef up their financial analytic applications, or add more sophisticated visualization, search and other access-oriented features to their business intelligence platforms.
Though often taken for granted, analytic databases will almost certainly become a key business intelligence solution differentiator over the next several years. With the trend toward commoditization of core business intelligence features, more vendors will distinguish their offerings through the speed, scalability, throughput and mixed-workload support that only a well-tuned analytic database can provide.
Every self-respecting business intelligence vendor will boast that their analytic database can handle more concurrent users, process more complex multidimensional queries, load bulk data more rapidly, execute more compute-intensive transforms, and manage more massive data sets than the competition. Just as important, they'll brag that they can do all this more affordably than the next guy.
In an increasingly commoditized business intelligence market, analytic price-performance is becoming the principal buying criterion. This trend is fueling the industry's growing focus on analytic appliances, which are also called business intelligence appliances or data warehousing appliances.
Indeed, most of the leading business intelligence vendors -- SAP/Business Objects, IBM/Cognos, Oracle, Microsoft and SAS Institute -- provide their own analytic appliances or are developing appliance-based offerings on their own or with partners.
Though these vendors will continue to deliver business intelligence/data warehouse solutions as packaged software offerings, they all see the appeal of appliances as turnkey solutions for many customer requirements. Midmarket customers, in particular, are taking a keen interest in appliances, which provide them with quick-deployment pre-optimized solutions and relieve the burden on their limited technical staffs.
Partner Content
www.bmc.com
Gartner 2009 Magic Quadrant for Job Scheduling
Gartner has positioned BMC CONTROL-M in the Leaders Quadrant of their "2009 Magic Quadrant for Job Scheduling." The report assesses the ability to execute and completeness of vision of key vendors in the marketplace. Read a full copy today, courtesy of BMC Software.
Download whitepaper
Dell's SMART Approach to Workload Automation
Read a compelling case study by EMA, Inc. to learn how Dell uses BMC CONTROL-M to cut cost and increase productivity with workload automation.
Download whitepaper
Workload Automation Cost Savings 2 Minute Video
A major computer manufacturer uses BMC CONTROL-M and just four people to schedule and run over 85,000 jobs every month. By switching to BMC CONTROL-M, they more than quadrupled the workload without adding a single staff member. See how in this 2-minute video overview.
Go to video
Comments (2)
Where's the beef?By Anonymous on May 1, 2008, 5:26 amSeriously, what new information is contained in this piece that requires 3! pages? You could have written this summary in 2 paragraphs and still not described...
Reply | Read entire comment
What about the possibility of Personal Warehousing?By Anonymous on May 2, 2008, 6:07 amConsider the possibility that a 'serious' Analyst is able to buy a scaled down, but extremely affordable and performant data crunching machine that fits under their...
Reply | Read entire comment
View all comments