SAP senses an opening in big data and related markets, and is using HANA to widen and push through the opening, using a shared success model with partners and customers.
ESG’s Market Landscape Report defines the information security analytics market and includes coverage of 21 vendors. Due to the rapidly changing nature of this emerging market, ESG is making the report available on a complimentary basis for a limited time.
The big data platform race will unfold more like Le Mans than a drag race, and MapR seems to understand better than most that a steady enterprise-grade evolution of a big data platform will keep it and its customers on track.
After a long car ride, and studying 65 BI/analytics vendors, here are 5 bigger truths about big data.
ESG estimates that the revenue "pull through" from BI/analytics software platforms for adjunct market providers, such as hardware (server, storage, networking), professional services, and point solution software is slightly over 3 times the revenue for BI/analytics software.
Do Teradata's tepid Q1-FY13 results suggest weaker demand in general for big data, or a changing of the guard?
Actian's buying blitz puts it in the middle of the big data mix, now Actian just needs to execute excellently.
IBM DB2 steps up to the columnar and performance plate to help IBM continue its considerable momentum in big data.
You thought big data was big? Try the Data Economy on for size.
Does information security analytics qualify as big data? Considering the challenges involved in capturing, processing, storing, searching, sharing, analyzing, and visualizing all of the data that an organization collects from log files, external intelligence feeds, and other sources, this question is clearly answered as many organizations say that security data collection and analysis would be considered big data within their organizations today. ESG defines the term “big data” as follows: In information technology, big data is defined as a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.
The concept of a platform in information technology (IT) parlance suggests “everything, or almost everything you need to build a complete solution.” Five years ago, the notion of an analytics platform was marginally part of the market nomenclature. At that time, business intelligence (BI) platforms dominated the landscape, and analytics, while certainly ingredients of or augmentations to several BI platforms, were the afterthought—more of an enigmatic art for the few, the domain of the statistician. But the “big data” market phenomena, catalyzed by the Apache open source Hadoop project, and invigorated by several vendors’ marketing programs, has shifted buyer focus from BI toward analytics.
Here’s an example of how a SaaS B2B solution provider stepped up to meet partner/customer requirements for more customization, enterprise-class integration, and rapid yet flexible on-boarding.
Oracle Database Appliance blossoms into more than just a database appliance with ODA X3-2
Sorting through all the activity around the Strata Santa Clara conference, my eyebrows were raised by four offerings, two dealing with sorting/indexing, two dealing with the R statistical development language.
The data economy will continue to create demand for the "dark matter" of data integration.
Are the Hadoop distributions from major vendors EMC-Greenplum and Intel the new black of big data?
Adding security through data masking to the Informatica Cloud to better enable and protect development and testing is a long step in the right direction.
Big data certainly counts as one of the key trends in business and IT for 2013, but let's not get too carried away.