November 3, 2011

MarkLogic’s Hadoop connector

It’s time to circle back to a subject I skipped when I otherwise wrote about MarkLogic 5: MarkLogic’s new Hadoop connector.

Most of what’s confusing about the MarkLogic Hadoop Connector lies in two pairs of options it presents you:

Otherwise, the whole thing is just what you would think:

MarkLogic said that it wrote this Hadoop connector itself.

When I realized MarkLogic was claiming the ability to seamlessly integrate short-request and batch analytic processing, I asked about workload management. I gathered that:

Overall, I think the MarkLogic Hadoop connector could prove pretty useful. The first question I ask somebody who wants to process relational data in Hadoop is “Why not just an analytic RDBMS?” But the natural use cases for MarkLogic are often ones in which you might as well do your analytics in Hadoop, including a 4 billion Word/PDF/image document insurance-industry example I recently encountered, and for which I favor MarkLogic over MongoDB or straight Hadoop alike.

Comments

2 Responses to “MarkLogic’s Hadoop connector”

  1. MarkLogic 5, and why you might care | DBMS 2 : DataBase Management System Services on November 3rd, 2011 10:41 pm

    [...] I posted separately about the MarkLogic Hadoop connector. As for that Hadoop connector – stay tuned for a short follow-up post, as writing about it now [...]

  2. Mike Zuckerman on November 12th, 2011 10:56 am

    These connector’s are usually used for data movement (migration) or data synchronization. The Hadoop connector will be very useful although there are much better ways to do this through data integration tool sets available from 3rd parties.

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