Reports, Charts and Dashboards for MongoDB in 30 minutes and at a 110 of the Cost


As you store more and more of your data in MongoDB you need to provide access to this data through reports, charts and even dashboards for your business users. One option is to use conventional Business Intelligence (BI) tools that have been around for decades and that have added support for MongoDB. These tools however are:

  • Heavy, bloated, and clumsy – especially when used for MongoDB. The added support for MongoDB is usually a bolt-on that makes Mongo “look like” a relational database (and, well, it’s not).
  • The BI systems are complex and hard to get started with with a very long learning curve.
  • And most importantly, they’re very expensive.

MongoDB is a new type of database in every way – the data structures are more flexible, the development costs are low, and the response times are fast. Shouldn’t BI for MongoDB be similar and not inherit the relational attributes of the last 40 years?

In this webinar we look at a different kind of BI tool; one that is a better fit for MongoDB. We will go through an entire cycle – all the way from the first install of the BI tool and through building of a report a graph and a dashboard that is available to business users – all in 30 minutes. You will see how to give your business users the data they need with:


  • Low cost – invest a 110 of the cost or less.
  • Simple developer-oriented tools with no complex setup, mapping or learning curves, and with full transparency allowing you to not only give your business users reports they need, but also generate reusable data-access APIs.
  • Full support for reports, a variety of chart types and simple assembly of dashboards.

Fast and Simple Data Discovery, Analytics and Visualization for MongoDB (and stop counting curly brackets!)


MongoDB is the fastest growing database platform today and more data gets added to MongoDB than any other database platform. All this data often needs to be explored, navigated, plotted, used to discover hidden patterns and more. MongoDB stores JSON documents and not relational data. This data is far richer and varied – great for application developers and for building modern applications. Most analytic tools for MongoDB are not native to JSON data and have to be “bolted-on”, so they are not very usable data access tools.  JSON Studio is “purpose-built” for JSON data, allowing easy and affective data access without coding and usable by everyone in your organization. Join this webinar to learn how you can easily do:

  • Data discovery.
  • Simple and complex data access queries.
  • Build reports.
  • Build complex d3 visualizations.
  • Exploratory visual analytics.
  • Schema discovery and documentation.
  • Build dashboards that make use of reports and visualizations.

.. and all directly on the JSON data within MongoDB.