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“Data Wrangling” = Data Rankled

Data wrangling is the latest clever way to describe the lengthy and cumbersome data preparation process required to make modern complex data (aka: post-relational, multi-structured, semi-structured…) fit legacy (read: relational) analytics tools.

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Wise Up NoSQL!

SQL was the glue that held together the relational database market for the past 40+ years. More importantly SQL allowed it to thrive as an ecosystem. Solutions like Business Intelligence (BI), Data Warehousing, and RDBMS management tools would not have been possible without the Lingua Franca.

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What Does SlamData Do For Healthcare Companies?

An interview with Jeff Carr: “…we have a number of clients, today, they are able to ingest messy data from a variety of sources into a data base like MongoDB, or Couchbase, or MarkLogic and then use SlamData to immediately get insights and value from that data.”

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Agile Analytics On Modern Data

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.

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What Is A Data Hub?

SlamData CEO, Jeff Carr: “Instead of a 6 or 12 month project to build a data warehouse, you can stand up a Data Hub in a couple of days using SlamData and MongoDB or another NoSQL database.”

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What Our Customers Are Saying

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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.

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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

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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

WHITEPAPER

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

What's People Are Saying

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SlamData Provides Missing Platform for NoSQL Data Insight

This case study documents the return on investment, performance enhancements, and efficiency gains experienced by US Mobile resulting from its SlamData implementation. 
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The study was conducted by Constellation Research and published on June 25, 2017.
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