Direct Analytics On MarkLogic

Explore, Query and Report On Live MarkLogic Data.

No Mapping. No ETL.

MarkLogic Analytics, MarkLogic BI, MarkLogic Business Intelligence

The Fastest, Most Agile BI Solution for MarkLogic

Free Yourself From the Latency, Limitations & Cost That’s Been Holding You Back.

Insight

Simply connect to MarkLogic and get answers. No mapping. No ETL.

Agility

Uncover insights and power your business with agile, ad hoc analytics.

10X for 1/10

Don’t over invest in more monolithic analytics solutions. With SlamData you get 10x the power at 1/10 the price. 

Scalable, Flexible, Interactive, Embeddable, White Label, Open Source

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FAQs on MarkLogic

How long does it take to set up?

SlamData can be downloaded and installed in less than 10 minutes. Simply connect your database and you’ll see your data like never before. From there you can query and visualize your data, as well as publish and share it.

What document types does SlamData support with MarkLogic?

SlamData supports both JSON and XML document types with MarkLogic.

What's the difference between the Community and Advanced Editions?

SlamData Community Edition has the full analytic capabilities of Advanced. SlamData Advanced comes with multi-tenant security, authentication, authorization and auditing.

What versions of MarkLogic does SlamData Support?

SlamData currently supports version 8.

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WHITEPAPER

The Characteristics of NoSQL Analytics Systems

This paper carves out a single concern, by focusing on the system­-level capabilities required to derive maximum analytic value from a generalized model of NoSQL data. This approach leads to eight well­-defined, objective characteristics, which collectively form a precise capabilities­-based definition of a NoSQL analytics system.

  • 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
  • This field is for validation purposes and should be left unchanged.

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