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MongoDB Analytics and Reporting

Build MongoDB Reports and Data Visualizations in Minutes with Native Integration


Knowi is a BI tool that natively integrates with MongoDB so you can leverage the speed, flexibility, and scalability of MongoDB for analytics without the constraints of moving your data or installing drivers.

Try our MongoDB analytics demo below

You can use our demo MongoDB instance below or change the settings to connect your own instance to see how quickly you can start visualizing your MongoDB data with Knowi.

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MongoDB Analytics

Welcome to the most powerful solution for analytics on MongoDB. Knowi is the only MongoDB BI provider that not only delivers truly native MongoDB data visualization and reporting but also allows you to join disparate data sources. If that's not awesome enough, Knowi comes with integrated machine learning for advanced analytics using MongoDB data.

Native MongoDB Analytics

Knowi natively generates Mongo Query Language so there is no SQL layer in the middle. You simply connect Knowi to your MongoDB and start building queries. No mess. No fuss.

Join MongoDB Collections, other NoSQL or Relational Data Sources

MongoDB is part of modern data stacks that include a variety of database technologies include NoSQL, Relational, RDBMS and APIs. Knowi uniquely enables you to join data from multiple disparate sources on the fly, eliminating costly ETL processes that move and SQL-ify your MongoDB data.

Business Self-Sevice Reporting on MongoDB

Knowi currently supports over 30 data visualization types. Bring your MongoDB data to life and enable business users to perform ad-hoc analysis and customize their dashboards.

Transform to a Data-Driven Enterprise with Embedded MongoDB Analytics

With just a few clicks, you can securely embed dashboards directly into your data applications your business teams are already using. Users can also share MongoDB dashboards or email PDF reports to extend analytics reporting to offline users enterprise-wide.

Add Machine Learning to Your MongoDB Queries

With our machine learning workbench, you can integrate machine learning directly into your MongoDB data analytics workflows and automatically trigger actions based on resulting calculations. You can integrate your custom algorithms or tap into our library of open source algorithms.

Automatically Trigger Actions and Alerts on Your MongoDB Analytics Workflows

Automate actions or notifications based on the results of your MongoDB analytics. Easily send notifications with data attached or invoke a webhook to initiate a process in a downstream application.


  • Cloud or On-premise Deployments
  • Plugin MongoDB Queries
  • Schema Discovery & MongoDB Query Generation
  • Join and blend data across various NoSQL and SQL based datasources
  • Direct query execution into your database to drive visualizations, or, store and track seamlessly using our scalable, schema-less, flexible cloud warehouse
  • Complement MongoDB queries with Cloud9QL, a powerful SQL based post processor built for reporting to handle data preparation, pipelining, date based windowing, predictions and range of other reporting uses
  • Share and embed dashboards to internal groups or via a simple URL
  • Works on any device
  • Choose from nearly 30 different visualization options
  • Interactive filters
  • Drilldowns
  • Natural Language Processing
  • Machine Learning
  • Alerts & Trigger Notifications
  • Live, auto updating charts/widgets
  • Export data in various formats
  • Email Dashboard PDFs and CSV data
  • Run queries on a schedule or real-time
  • Prediction algorithms that auto-selects the best prediction models and forecast for any dataset
  • Plug-in architecture for custom logic & custom prediction algorithms
  • Incremental data pulls and warehouse updates
  • Push API to send real-time data
  • Data Export API
  • Single Sign-On API for embedding inside your portal
  • Roll ups and aggregations
  • Cloning and transformations
  • Kerberos MongoDB authentication support
  • Query Index checks

Additional Resources

Knowi's ability to handle our large volumes of data and let everyone here at Boku to quickly accessand share information was critical to becoming a data-driven organization. By using Knowi toleverage our data company-wide,we were able to accelerate a number of strategic goals with our partners.

Knowi helped the company in a number of ways to be able to quickly access critical business information. Whether it's for internal purposes or the partners, having very easy to use and quick access to the business data is great.

Datakwip provides an enterprise, cloud-based, machine learning facility analytics platform collecting streaming data for facilities across the globe. Knowi is a great partner for us. The Knowi platform enables us to build and deliver the advanced IoT analytics data products our clients need, quickly. On top of that, the Knowi support team is excellent. They are always there to help us when we need it.

Knowi provided the user experience and technical capabilities we were looking for but could not find in other analytics solutions.

The Knowi team has been prompt in providing support and a clear guidance when we needed it. I highly recommend Knowi to fellow companies.

  • Mike Cahill, CTO, Boku

    Mike Cahill, CTO

  • Simon Williams, CTO, Lemonaid Health

    Simon Williams, CTO
    Lemonaid Health

  • Cory Perdue, President/CEO, Datakwip

    Cory Perdue, President/CEO

  • Kevin Henderson, Senior Principal, Sagence

    Kevin Henderson, Senior Principal

  • Hadar Shezifi, CO-founder, MKT MediaStats LLC

    Hadar Shezifi, Co-founder
    MKT MediaStats

Trusted by some mighty fine companies