Case Study: US Mobile Closes NoSQL Analytics Gap

Chris Dima
Chris Dima Marketing
We love headlines like this: "SlamData Provides Missing Platform for NoSQL Data Insight." That's usually what we say! This time it's Doug Henschen from Constellation Research.

We like headlines like this: SlamData Provides Missing Platform for NoSQL Data Insight

That’s usually what we say!

This time, however, it’s Doug Henschen from Constellation Research saying it!  Doug is Vice President and Principal Analyst at Constellation. Doug was curious about the dynamics of NoSQL analytics — he saw the content and marketing around our related webinar — and decided to interview US Mobile’s VP of Strategy and Analytics, Michael Melmed. Here’s the summary of the case study here:

US Mobile implemented SlamData to deliver critical analytics capabilities that were lost after US Mobile rebuilt its core applications on a NoSQL data platform. In 2016, US Mobile rebuilt its core business applications (which previously ran on a relational database) on MongoDB, a NoSQL data platform. The move gave US Mobile fexibility, scalability and better support for microservices, but it also meant existing queries, reports, data visualizations and analyses had to be rebuilt. What’s more, support for SQL, the query language native to relational databases, is not natively supported in MongoDB.

Many organizations struggle to fill the gap left by the lack of SQL support when using NoSQL stores, whether MongoDB or other options, like Couchbase or MarkLogic. US Mobile considered several approaches to close the gap. US Mobile chose SlamData for its combination of SQL querying against NoSQL sources coupled with interactive data-analysis, visualization and dashboarding capabilities. SlamData was deployed on a synced replica of US Mobile’s production MongoDB database within one day.

This case study documents the return on investment, performance enhancements, and efficiency gains experienced by US Mobile resulting from its SlamData implementation. The report includes lessons learned from the implementation and recommendations for organizations pursuing a similar strategy.

Get the case study now.

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What Our Customers Are Saying


We use SlamData to build custom reports and have found the tool is exceptionally easy to use and very powerful. We recently needed to engage the support team and we were very pleased with the turn-around time and the quality of support that we received.

Troy Thompson
Director of Software Engineering
Intermap Technologies, Inc.


When our company migrated from SQL database to MongoDB, all our query tools became obsolete. SlamData saved the day! I was able to easily write SQL2 queries. Plus the sharing, charting, and interactive reports were a game changer.

Michael Melmed
VP, Ops and Strategy
US Mobile


Slamdata helped shine the light on how our new product was being used. The support staff was awesome and we saved engineering cycles in building all the analytics in-house. I am using it to change the mindset in the teams and shift the focus from product launches to product landings

Engineering Lead
Cisco Systems


The Characteristics of NoSQL Analytics Systems

  • The Nature of NoSQL Data
    • APIs
    • NoSQL Databases
    • Big Data
    • A Generic Data Model for NoSQL
  • Approaches to NoSQL Analytics
    • Coding & ETL
    • Hadoop
    • Real-Time Analytics
    • Relational Model Virtualization
    • First-Class NoSQL Analytics
  • Characteristics of NoSQL Analytics Systems
    • Generic Data Model
    • Isomorphic Data Model
    • Multi-Dimensionality
    • Unified Schema/Data
    • Post-Relational
    • Polymorphic Queries
    • Dynamic Type Discovery & Conversion
    • Structural Patterns

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