The Right Database for the Right Job

Michael Vizard

Just about every IT organization out there is wrestling with one of two forms of Big Data. The first usually involves years of data that needs to be analyzed using something like the Apache Hadoop framework.

But a second class of Big Data that is probably more common simply involves the management of increasingly large amounts of unstructured data. Right now, those documents are clogging up email systems as multiple copies of them get shipped around the network, which in turn consumes an inordinate amount of limited storage resources.

Newly appointed MarkLogic CEO Ken Bado says IT organizations need to find a better way to manage this type of data. He argues that instead of applying legacy technologies to a new problem, IT organizations should seek out databases that have been specifically designed to manage this type of data.

In the case of MarkLogic, that is a MarkLogic server that runs on industry-standard hardware and is based on share-nothing architecture that doesn't make use of SQL or require any heavy lifting in the form of an expensive database administrator.

With unstructured data being the primary culprit when it comes to exacerbated data management issues within the enterprise, Bado is making a case that a relatively small investment in database technology that is specifically optimized to deal with this type of data will go a long way towards solving a much larger set of problems.

While many IT organizations are naturally resistant to bringing in yet another technology to manage, the fact of the matter is that trying to leverage old tools to deal with new problems is rarely as successful as using the right tool for the right job.

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