{"id":1681,"date":"2013-03-07T17:30:13","date_gmt":"2013-03-07T23:30:13","guid":{"rendered":"http:\/\/redmonk.com\/dberkholz\/?p=1681"},"modified":"2013-04-19T21:25:27","modified_gmt":"2013-04-20T02:25:27","slug":"strata-ca-2013-was-sql-really-the-theme","status":"publish","type":"post","link":"https:\/\/redmonk.com\/dberkholz\/2013\/03\/07\/strata-ca-2013-was-sql-really-the-theme\/","title":{"rendered":"Strata CA 2013: Was SQL really the theme? Nope."},"content":{"rendered":"

Last week, I attended the Santa Clara edition of O’Reilly’s Strata conference, which is all about data. Rumor had it that this was the conference of SQL front-ends to Hadoop (although between Impala, Hadapt, and Spire, I rather thought that was last fall’s Strata NY — apparently it was eclipsed by “real-time” and postponed). And yet, there were another set of new ones this time around, such as Splice Machine, CitusDB, and Pivotal HD [Steve’s coverage<\/a>].<\/p>\n

I was only at Strata for a tutorial and one full day, so I didn’t have the opportunity to take in any sessions because I spent most of my time meeting with companies. Since I didn’t have as much of a chance to take in the feel of the conference this time around,\u00a0I thought I’d try something different and show some personal analytics based on Strata<\/strong>. I took all of my inbound requests from PR firms\/people for meetings (41 in total), then aggregated and categorized them by primary product\/service. This reflects a certain facet of the conference, one focused on getting the word out, so\u00a0it leans toward launches of products and startups rather than mere presence at the show<\/strong>. But one might expect that generally reflects the impression people walk away with regardless \u2014 what’s new.<\/p>\n

\"2013_briefing_requests_segments\"<\/a><\/p>\n

What we see shows an altogether different angle on Strata than merely SQL-on-Hadoop. Instead, we see major focuses on analytics<\/strong> (no surprise), databases<\/strong> of all types including NoSQL, Hadoop, and NewSQL (no surprise), and Big Data packaging<\/strong> [coverage<\/a>]\u00a0— this one was intriguing to me. For these purposes, I excluded Hadoop distributions themselves, so packaging includes things like:<\/p>\n