How IKANOW Uses MongoDB to Solve Big Data Problems

When building a solution like IKANOW's Open Source document analysis platform Infinit.e, the choice of your underlying data store is a critical part in determining the overall architecture of the platform. IKANOW’s engineers had some pretty clear ideas of how they wanted to approach the problem of merging structured and unstructured data into a unified, semi-structured format. Fortunately for the team, finding a database that fit Infinit.e's needs turned out to be pretty easy. Out of the group of NoSQL databases evaluated by IKANOW, MongoDB came out on top as a nearly perfect fit for the Infinit.e platform. Not only did MongoDB check the technical boxes that IKANOW was looking for, but the strength of the community 10gen has built around MongoDB and the high adoption rate of the database proved to be strong selling points.

Join us for this complimentary webcast as presenter Craig Vitter, Professional Services Engineer at IKANOW discusses how Infinit.e leverages MongoDB to solve many of the common problems organizations face today when tackling big data. Traditional big data solutions can be costly, inflexible, and may not result in the insights organizations need to adapt to a complex and dynamic business environment. In contrast, Infinit.e offers a cost-effective, scalable, open source solution that allows organizations to easily ingest (both structured and unstructured data), query, analyze, and gain intelligence from big data.

Interested but cannot attend at this time? Sign up now to receive a recording of the presentation after the event.

Sincerely,

Rich Savage
IKANOW Government at
Carahsoft Technology Corp.
703-871-8629 (Direct)
866-925-6736 (Toll-Free)
[email protected]
www.carahsoft.com/ikanow