MongoDB Analytics & Reporting

Build MongoDB reports and data visualization in real time with true native intergration.

Natively integrate to data sources like SQL, NoSQL (MongoDB, Elasticsearch, InfluxDB…), Rest API and cloud data sources

Plugin MongoDB Queries

Schema Discovery & MongoDB Query Generation

40+ visualizations to create dashboards that matter

Direct query execution into your database to drive visualizations, or, store and track seamlessly using our scalable, schema-less, flexible cloud warehouse

Ask questions of your data in plain English

Auto-generate intutive dashboards or get instant insights with Knowi’s Private GPT.

Single Sign-On API for embedding inside your portal

Secure Data access to ensure the right people access the right data

Choose between Cloud or On-Prem deployment options

📆 Book your 30 minute demo

“My team tested various data visualization tools like PowerBI, Domo, Sisense and Knowi emerged as the top choice for its speed in creating useful dashboards and ease of use for non-technical users. While we selected Knowi as a viz tool, I’m also happy we did so from a data engineering perspective. Knowi’s architecture models data thoughtfully, which I’d credit for enabling a collection of elegant features.”

Phil Bryant

VP Business Intelligence, MacroFab

Hundreds of companies trust Knowi to unify their analytics

Business intelligence for MongoDB

A lot of BI tools offer stunning dashboards and visualizations but require your data to be confined to a strict structure and schema–making them useless for NoSQL data sources like MongoDB

Knowi is different. Knowi was built from the ground up with the aim of providing a unified business intelligence solution for unstructured data like MongoDB.

Embedded analytics

Knowi can be embedded right into your application using an iframe or javascript. That means you can white-labeled Knowi as the analytics solution inside your product and sell its features as part of your GTM.

With powerful dashboards and reporting, users can get real-time analytics that will provide tangible value to your product offering. No ETL required. No additional hardware needed. 

4 steps to connect your MongoDB data to Knowi

  1.  Click “Add Connection”
  2. Select MongoDB from the Datasources
  3. Insert your Mongo connection credentials.
  4. Hit “Connect”

And that’s it. You’re now natively connected to your MongoDB data can now be used to create dashboards, visualizations, ad hoc reports, and more. Try a live MongoDB connection with Knowi.

How is Knowi different than the alternatives?

The three biggest options companies look at for MongoDB analytics are MongoDB Charts, using the Mongo BI Connector to get their data into one of the old guard BI tools like Tableau, or using ETL/ELT processes to move all their data into a relational data warehouse. 

BI Connector

A lot of business intelligence tools like Tableau use the Mongo BI Connector. The problem here is that the BI Connector works by putting a SQL layer on top of Mongo, forcing your unstructured data into a relational structure, invalidating the entire point of using a NoSQL database. It’s a classic square peg in a round hole problem.
This solution can also add additional expenses through enterprise licensing and driver purchasing.

MongoDB Charts

MongoDB Charts is great if you have a super simple use case. If your company is 100% using MongoDB data and it will always be that way, you don’t need advanced integration or embedding, and it does not need to scale. If you need to level up your real-time analytics beyond that, that’s where Knowi comes in.

ETL + Data Warehouse

The third option is to use ETL or ELT to apply a schema to all of your data and run regular migrations to a data warehouse. This suffers from the same square peg in a round hole problem where you are forcing schema on unstructured data. It also requires the build out of costly ETL pipelines and maintenance of data warehouse infrastructure.
Lastly, going this route often results in versioning issues, since the data your working with in your data warehouse is only as up-to-date as the last ETL process run. 

Knowi avoids all of these issues because it was built from the ground up to support unstructured non-relational data. Knowi is built on data virtualization which enables true native integration that other business intelligence platforms simply cannot do.

Native MongoDB analytics

You simply connect Knowi to MongoDB and start writing queries. Knowi is the only complete BI solution that is fully native to MongoDB and supports nested objects and arrays. No ODBC drivers, no SQL layer in the middle, no pre-defined schemas, no ETL. No mess. No fuss.

Cross database joins

Join MongoDB data with NoSQL, Relational, RDBMS, and APIs on the fly across data centers or multiple cloud providers, eliminating costly ETL processes that move and SQL-ify your MongoDB data.

Search-based analytics

Transform how your company uses its data with the use of Google-search-like capabilities on top of MongoDB. Knowi's search-based analytics will enable your business users to perform ad-hoc analysis in real time.

MongoDB Reporting & Analytics

Welcome to the most powerful solution for analytics and visualization on MongoDB. Knowi is the only MongoDB BI provider that not only delivers truly native MongoDB visualization and reporting but also allows you to join disparate data sources. You can connect your MongoDB data with other relational data sources, NoSQL databases, and data from REST APIs. If that’s not enough, Knowi comes with integrated machine learning and search-based analytics for advanced business intelligence using MongoDB data.

Embedded Mongo Database Analytics

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

Machine Learning

Combine hindsight and foresight with our machine learning workbench. Integrate machine learning directly into your MongoDB data analysis workflows. With Knowi ML, you can automatically trigger actions based on resulting calculations. You choose to integrate your custom algorithms or tap into our library of open source algorithms.

Triggers, Alerts, and Actions

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.

See our latest MongoDB Reporting and Visualization Tool Comparison Guide to know what solution can be best for your MongoDB analytics usecase 

Frequently Asked Questions about MongoDB analytics and reporting

Knowi tends to be a great fit for the use cases that are too complex for MongoDB Charts. Some use cases work fine sticking to only MongoDB data, but there are also a lot of companies where Mongo is only one part of their data ecosystem. For these companies, being able to support a variety of NoSQL and SQL data sources and join data across databases is crucial. This is where Knowi is often a better fit. 
Knowi also works well when companies need to be able to embed their analytics solution in their existing workspace, website, or app. 

No. Knowi uses data virtualization to access and run real-time analytics on MongoDB data natively. Many business intelligence platforms require you to use ETL processes to move all of your NoSQL data to a data warehouse and apply schema. With Knowi, none of that is needed. That said, some of our customers who already have data warehouses use Knowi on top of that as the visualization and analytics engine.

As with all applications, it depends on the use case itself. But Knowi's ability to do real-time analytics natively on MongoDB data can certainly power a lot of data science applications. Additionally, with Knowi, you can join across databases; meaning you can join your MongoDB data with data from relational databases. So if you have some unstructured data in MongoDB and some data in a structured SQL database, you can still do analytics.

Lastly, Knowi's ability to easily pull in data from REST APIs can be useful for pulling in data from outside sources for data science use case.

Ready to try Knowi with your MongoDB data?

Make quicker decisions with the best analytics solution.