Agile Analytics On Modern Data, An Interview with Jeff Carr, CEO and Co-Founder of SlamData

Agile Analytics On Modern Data

Chris Dima
Chris Dima Marketing
It's essentially analytics that is delivering to you all the reasons that you picked a NoSQL database in the first place. And that's what's missing today.

The following is a transcript of the the video above:

Jeff Carr:

…it’s really just analytics that matches the data that you have. And, provides exactly what you would expect from that. It provides agility. It provides quick time to market. Quick insights. Those kinds of things.

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No ETL. No Mapping. No Stale Extracts.

It’s doing … It’s essentially analytics that is delivering to you all the reasons that you picked a NoSQL database in the first place. And that’s what’s missing today.

All the agility, and all the wonderful things that a NoSQL database, the JSON data model, brings to you as a user of an application, or a developer of an application. We’re bringing that same thing to analytics. Which is just as important.

And it doesn’t exist today. Today, it’s the opposite.

You have the super agile, beautiful database that’s running your applications. And then analytics times comes around, and it devolves into this massive data manipulation. And, data duplication. And all these other things to result in anything resembling analytics.


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Webinar Replay: Plug-And-Play Analytics for Your SaaS App Built On MongoDB

Check out the replay of this webinar to learn how US Mobile uses SlamData to deliver interactive reporting across its business.

The Five Money-Saving Tricks MongoDB Doesn’t Want You To Know

If you listen to your friendly MongoDB sales rep, it's easy to think they are a one-stop shop for all things MongoDB.

And that’s not what companies want.

And that’s not they need.

What they need is, agile analytics that matches the agile data that they have.

Almost exclusively. I mean there’s probably 1 out of 100 times where somebody in the business may have an impact on that. But usually it’s the development team deciding what database will allow them to design and build the application in the best way for them. And that’s good. That’s a reasonable way to approach it. But it’s still doesn’t mean that the analytics people aren’t stuck in the mud.

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It’s more than even just a… I mean certainly a platform is one way to look at it.

[clickToTweet tweet=”What SlamData is really doing is moving analytics into the modern age.” quote=”What SlamData is really doing is moving analytics into the modern age.”]

What SlamData is really doing is moving analytics into the modern age. Today, every major analytics tool out there is still firmly rooted in that singular, relational data model that was defined 45 plus years ago.

And, what we’re saying is, what if you could take all of that and then move it forward to this century where it supports the relational model, but, also, JSON, and XML, and all these new data models that people were using for other reasons.

The point is that it should support all of the different ways that a company wants to store and manage data.

Not just one.

News, Analysis and Blogs

Now Available: SlamData 5.0

The latest release of SlamData delivers unprecedented analytics for NoSQL data sources like MongoDB as well as for projects and solutions that deal with disparate, complex data. Tame your data now! SlamData is a single analytics solution for all of your data. 

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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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