Why We Chose MongoDB to Put Big Data 'On the Map'

Traditional Geospatial Information Systems (GIS) have heavily depended on the use of Relational Databases (RDBMS) for indexing. Extensive evaluation, trials, and experience have surfaced MongoDB as the ideal database technology for building a new breed of GIS system for Big Data scenarios.

While Relational Databases can be very effective tools, they place a priority on long-running transactions, pre-defined fixed normalized schemas, and large joins. These design decisions make them ill equipped to support Big Data scenarios of data volume, variability, and velocity. MongoDB was built from the ground up for Big Data challenges.

Join us for this complimentary webcast and learn how geo domain experts, Thermopylae Sciences and Technology, chose and applied MongoDB for tackling dynamic geospatial data at massive scale.

Some of the topics that will be discussed are:

• NoSQL technology over Relational Databases for scaling geospatial data
• Why choose MongoDB and the advantages of open source
• Spatial indexing Big Data
• Where MongoDB for Geo is being used

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

Sincerely,

Rich Savage
10gen Government at
Carahsoft Technology Corp.
703-871-8629 (Direct)
866-925-6736 (Toll-Free)
[email protected]
www.carahsoft.com/opensource