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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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“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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Most Popular

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. 

read more

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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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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