The Only BI Solution Tailored
for NoSQL Enterprise Teams

Business intelligence (BI) helps enterprises analyze, present, and understand data to make better decisions. Qarbine leverages enterprise investments in NoSQL databases plus application code for improved decisions and workflows. While it is “NoSQL First”, Qarbine can still integrate data from SQL and even RESTful services as part of its analysis- no Extract, Transfer, and Load (ETL) required. The result is much better BI and deeper insight into NoSQL data to support agile decision-making.

Uses Native
MongoDB Queries

Processes Rich

Leverages Team
Member Skills

Highly Integrated
with MongoDB

Improves BI Delivery
and Experience

Challenges with using Legacy
Tools with Modern Databases

There are many popular BI tools built for legacy SQL databases. But, when used with NoSQL databases, they can be painful for IT and end users, resulting in a process that is:

Costly & Glitchy


Time Consuming

The richer the document structure the more complex, error prone, time consuming and costly it becomes to author SQL used to access virtualized relational tables. Additionally, legacy SQL tools only handle well defined, 2-dimensional tabular data, while many only provide summary visualization, forcing developers to manually code ongoing detailed analysis requests.

The Qarbine Solution

Qarbine complements such tools like Tableau and MongoDB’s own native Charts visualization tool. Qarbine is focused on the detailed analysis, formatting, and presentation of the details behind those pretty pictures. In fact, among Qarbine’s many MongoDB aware features, is the ability for reports to even include MongoDB Charts.

Qarbine Features

  • 1 Embedded documents
  • 2 Embedded arrays
  • 3 Excel-like calculations
  • 4 Custom graphics and charts
  • 5 Business object functions
  • 6 Interactive elements

Native Querying and
Data Structures
Improve BI Quality

Qarbine uses native NoSQL querying to more efficiently retrieve data in its natural, pre-assembled form. By not having to rely on the SQL oriented MongoDB BI Connector you avoid complex Document Relational Definition Language (DRDL) schemas and SQL queries. Qarbine naturally processes complex data structures supported by the MongoDB rich document model, including embedded and nested documents and collections, and collections. Qarbine works natively
end-to-end with MongoDB just like your NoSQL applications.

Embedded BI Makes
Developers and End Users
More Productive

Rather than being a BI silo, Qarbine can be embedded into enterprise applications to provide much more natural and productive workflows across applications and Qarbine generated web pages. The result is a single, immersive application. Each area simply links to the other without any context switching or complex BI silo navigation.

Finally, Reuse
your Application
Objects for BI

Unlike legacy SQL tools, Qarbine is able to leverage an enterprise’s massive investment in web application code. That code has been designed and tested so, why not reuse it for BI too? BI is a lot more than displaying raw database values on the screen. This code reuse significantly amplifies the ROI on that code and for Qarbine itself.

Teams Get
Work Done

Qarbine promotes enterprise team productivity by separating data retrieval components from analysis and formatting components. IT teams can now define optimized data retrieval components that end users can reference in their analysis templates. DBAs or full stack developers can avoid the time formatting BI web pages or documents, and end users will no longer need to learn SQL or even MQL against your production systems! It’s a much more effective approach to “self-service” BI.

What People Are Saying


~20% of MongoDB World attendees
seeing the Qarbine demo

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