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IDG News Service - Every enterprise software vendor will tell you how hot and in-demand their products are, but the notion rings fairly true with respect to BI (business intelligence) and advanced analytics. The products just kept selling throughout the global recession, as companies looked to gain insights into their business and subsequently, more efficiency as well as new ideas.
Toss in this year's rise of the "Big Data" buzz-phrase to near-ubiquitous status, and it seems like 2012 could be the biggest year yet for the analytics market. Here's a look at what some experts, as well as a reading of the tea leaves, suggest will be the hottest topics in analytics next year.
Big Data seems to be the new SOA (service oriented architecture) as industry terms go, with seemingly every other vendor product pitch attempting to hitch a ride. All are professing to help with the same problem: getting something useful out of ever-larger mountains of information, not only from transactional business applications but unstructured data from social networking sites, sensors and other sources.
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The Hadoop open-source programming framework is closely associated with the Big Data movement. The market can expect that Hadoop-based data warehousing appliances "will become the hottest new platforms in the coming year," said Forrester Research analyst James Kobielus. Also look for more companies to roll out Hadoop-related consulting services, modeling tools and other products.
SAP has spent the past 18 months touting the virtues of its HANA in-memory database, which it says can dramatically speed up data exploration and analysis, since it puts information to be processed in RAM instead of reading it off traditional disks.
While Oracle CEO Larry Ellison once pooh-poohed SAP's plans, his company has since announced the Exalytics in-memory machine, a new member of its family of specialized hardware-software appliances.
Smaller companies such as Qlikview and Tableau, both of which use in-memory technology for their BI and visualization tools, should also boost their profile next year. Some could also be acquisition targets for larger vendors looking to ride the in-memory wave.
But "enterprise-friendly" features such as support for third-party ETL (extract, transform and load) tools will be key to their growth, Curt Monash of Monash Research added.
Next year could bring out "a great many vendors" offering large-scale analytics as an on-demand cloud service, and there's a market for it, Kobielus said. "Petascale analytics is not necessarily something a lot of companies want to bring in-house.
But Monash isn't so sure. "Remote computing BI that focuses on hardware cost sharing is problematic," he said. "Moving data in and out of the cluster is a big part of the overall cost, at least if you plan to process it only occasionally once it gets there. I haven't seen a plan yet that gets around that point."