Add an entire dashboard to your app in 60 minutes!

This is the amazing part: explore your data, build a chart (that reflects live data!) and now it’s up to you to share that insight. Here’s where the road opens up and you have amazing flexibility to share, publish and embed where ever you want. 

No ETL Means Immediate Answers.

Want analytics on funky NoSQL? Nested arrays? First step has been to flatten it and then export it… Time out! We don’t need to do that anymore. Leave the data right where it is. SlamData will run analytics right in the database.

Use SQL Because It's Easier, Better.

We actually wrote math that extended relational algebra — the core of SQL — to elegantly handle the nuances of post-relational data. It’s called SQL2 or “SQL squared”. Most folks can jump right in since it’s the lingua franca of the BI world. 

The Definitive Guide To MongoDB Analytics

Analytics on MongoDB is a different beast than what you’re familiar with. Don’t expect to fire up your existing analytics tool, point it at MongoDB, and go.

This article explains why a fundamentally different approach is necessary and what your options are.

People Like You Choose SlamData Because It’s Robust, Flexible, Enterprise-Ready, Easy-To-Use, Cost-Effective, Cross-Platform…

I needed to build a report for my client fast. I found SlamData and had my chart in an hour. Now I’m building reports for all of my clients. It was easy.

Media Company


Here are my first impressions: ✓ super fast setup (linux user)  ✓ easy to configure, easy to query  ✓ easy to make the first graph  ✓ I was very impressed about how to query MongoDB in SQL format.

Internet Retailer

Lead Analyst/Data Scientist

I used to wait and wait and wait for reports on how our users were using our service. Now I just get answers to any question I have — self-serve!

SaaS Consumer App

Product Manager

For us, time is money. Now we can do in one hour what it would take 20+ hours. It’s actually much better, too. We’re not maintaining anything anymore.

Consulting Company


News, Blog and Updates

Polyglot Persistence: Analytics Purgatory Or the Birth of A New Era of Analytics?

The exceptional thing that we did was to create an evolutionary approach to this problem. Not another silo or another one-off tool. We said, we’re going to create something that can do all the modern data structures that people are encountering like JSON, like XML, and other sorts of semi-structured data, but that also has the ability to be completely compatible with their existing legacy sources, the relational world.

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Who Is Using SlamData?