BI Connector - Microsoft Power BI to NoSQL

The SlamData BI Connector: MongoDB to Microsoft Power BI

The SlamData BI Connector: Microsoft Power BI To NoSQL

The SlamData BI Connector is provided as an open source alternative to MongoDB’s BI Connector which is part of the paid edition of MongoDB. Both of these connectors are primarily for companies that already use and have large investments in existing BI tools. SlamData BI Connector is based on the Quasar NoSQL analytics engine and offers superior performance and analytics compared to the MongoDB BI Connector.

Connect and Go!

It’s not easy to connect today’s BI (Business Intelligence) tools to NoSQL Data. Complicated ETL processes or expensive ODBC drivers are required, until now! Zero setup, just install and let the SlamData BIC do the heavy lifting with any BI or Visual analytics tool.

Retain the Value of Your BI Investments

Companies have spent big money on legacy BI (Business Intelligence) tools and training and are rightfully disappointed to find they cannot use them with their NoSQL data. With SlamData BIC you can empower with access to modern NoSQL data without needing to learn new tools, the best of both worlds.

Native Access to MongoDB Data

BI connectors can be useful tools, but when dealing with complex NoSQL data they have several well documented limitations . If you need fast, flexible and native analytics for NoSQL and JSON data check out SlamData Advanced Edition.

  • 100% Native analytics on JSON data
  • Full support of nested data and arrays
  • Explore, Search and Query your NoSQL Data with ease

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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

News, Analysis and Blogs

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

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SlamData Provides Missing Platform for NoSQL Data Insight

“The ROI has been in saving my time building, refreshing and tweaking reports and saving the time of engineers, who would otherwise have to build custom reports for our analytics portal."

- Michael Melmed, US Mobile
Read the Case Study Now
The study was conducted by Constellation Research.
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