Readers show a wide range of views when it comes to which databases are the most analytics-friendly.
If there's one thing BI practitioners are passionate about, it's data. If there's another, it's their databases. Our most recent Voting Booth poll showed that, as expected, we have readers who are loyal users of all the Big Three database makers. The numbers aren't even, however. And very few respondents indicate that all databases are created equal when it comes to how well they lend themselves to analytics.
When we asked which database has the most analytics-friendly products, Microsoft led the pack with 36 percent of respondents' votes. Oracle followed with 25 percent, while IBM garnered 14 percent of votes. That puts IBM just ahead of the rest of the combined pack -- 12 percent of votes were for "other." A significant number of voters -- 13 percent -- say all database manufacturers are the same when it comes to analytics-friendliness.
One of our most popular stories of the summer so far was put together by our contributing writer, Jacques Surveyer, who argues that today, BI sells databases. In his piece, "BI: The New Database Differentiator," Surveyer gives an in-depth comparison of the BI capabilities of each of the Big Three's latest database entrants. If you haven't read it yet, check it out now for a full review.
The Agile ArchiveWhen it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
2014 Analytics, BI, and Information Management SurveyITís tried for years to simplify data analytics and business intelligence efforts. Have visual analysis tools and Hadoop and NoSQL databases helped? Respondents to our 2014 InformationWeek Analytics, Business Intelligence, and Information Management Survey have a mixed outlook.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?