Since Nick Heudecker and I began our quarterly Hadoop webinars, we have asked our audiences what they expected to do about SQL several times, first in January 2014. With 164 respondents in that survey, 32% said “we’ll use what our existing BI tool provider gives us,” reflecting the fact that most adopters seem not to want to concern themselves overmuch with the details.
This is reinforced by inquiries, where selection criteria, if the client is that far along, virtually never include “who has the best SQL interface.” It’s not perceived as a differentiator, at least not yet, correctly or incorrectly.
In February 2015, I returned to the topic. The issue is much farther along, after all. Impala vs HAWQ vs Drill vs Hive vs IBM or Oracle or numerous other vendor-specific solutions, now being benchmarketed aggressively, might appear to be much more important. Read the press, walk the show floors, and it’s a big deal. Ask customers and prospects? The story is different. In 2015, even more of a larger respondent group – 256 this time – said they’ll use whatever their tool provider uses. And the percentage rose from 32% to 37%. (Note that there is an error in the offered vendor names here – Datameer in fact does not use SQL at all.)
What should we conclude from all this? The sharp-eyed among you will note that we have collapsed two categories from the first survey – “Hadoop BI specialists” and “analytics tool providers”- into a single one this time: “tool provider.” And the combined group got less that the total of the two previous ones. What changed? It wasn’t “write your own SQL for Hive” – that went down from 27% to 24%. And writing to distribution-specific interfaces went down from 23% to 20%.
The big winner? Using DBMS vendors’ external table capabilities – it more than doubled, from 9% to 19%. What that suggests to me is that we are indeed approaching the “Bambi meets Godzilla” stage of the market. New entrants are turning to their “strategic suppliers” of information management technology in the typical flight to quality that occurs in maturing markets for technology that was innovated at the edge. I expect to see more, not less, of this in the quarters ahead.
Complete Your Data and Analytics Strategy With a Clear Value Proposition
As a data and analytics leader, one of the most important things to articulate in your strategy is the value proposition. Learn how to create a modern, actionable D&A strategy that creates common ground amount stakeholders.Read Free Gartner Research
Category: apache apache-drill hadoop hive cloudera data-and-analytics-strategies dbms gartner hortonworks mapr open-source oracle oss rdbms teradata
Tags: apache hadoop hive big-data-2 biginsights cloudera gartner hortonworks ibm mapr microsoft open-source oracle oss teradata
Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.