MongoDB Charts is a brand new product that lets you easily create visualizations of any data stored in MongoDB collections. In this demo-heavy session, you'll get a guided tour of Charts and see how easy it is to get deep insight to your document-based data using different chart types and integrated aggregation capabilities.

2. Bringing Data to Life with
MongoDB Charts
Tom Hollander, Senior Product Manager,
MongoDB

3. Options for Visualising MongoDB
Data
Custom Code + Charting
Libraries
ETL + 3rd Party BI Tools BI Connector + 3rd Party
BI Tools

4. Wouldn’t it be nice if...
You could visualise your MongoDB Data…
• without needing to write your own code
• without needing to move your data into a different repository
• without needing to purchase and configure third-party tools
• without losing the richness of the Document Model
Now you can!

5. Introducing MongoDB Charts
The fastest way to build
visualisations over your
MongoDB data
Built for the MongoDB
document model
Visualise live data
From on-prem or Atlas DBs

6. Which Charts is for you?
Charts On-Premises
You want to visualise data from MongoDB
Community Server, Enterprise Server or Atlas
You want to keep all data within your private network
You want control over the infrastructure hosting
Charts
Charts on MongoDB Atlas
You want to visualise data only from MongoDB Atlas
You want to spend your time visualising data, not
setting up managing servers or software
You want to immediately get access to the latest
Charts features

7. Demo
Launching Charts on Atlas

8. Charts Basic Concepts
A data source is a reference to a MongoDB collection or view that contains data you want to visualise.
A chart is a visualisation of data from a single data source.
A dashboard is a collection of charts which you manage as a unit (name, layout, sharing)

9. Demo
Charts Basic Workflow

10. Charting Capabilities
Common chart types
Aggregation functions
Filtering
Binning
Sorting

11. Demo
Charting Capabilities

12. Document Model Support
Type handling
Polymorphic collections
Nested documents
Array reductions

13. Demo
Document Model

14. Customisation
Change chart colours
Change axis and data labels
Change axis scales
Change number and date formats

15. Demo
Customisation

16. Getting MongoDB Charts on Atlas
Sign in/up for Atlas: https://cloud.mongodb.com
Create a Project (or use an existing one)
Create a Cluster (or use an existing one)
Add users to your Project
Activate Charts in the project
Note each Charts instance can only see Atlas clusters in the same project
Charts Beta is available at no cost

17. Getting MongoDB Charts On-
PremisesDownload and install instructions @ http://mongodb.com/charts
Charts runs as a Docker container on a server of your choice
• Supported on any OS that runs Docker CE or EE (Linux, MacOS, Windows)
• Can be a physical server, cloud VM or even a laptop
Charts requires a MongoDB instance to run
• For storing metadata about users, data sources and dashboards
• Can be any MongoDB instance in your organisation (including Atlas)
• Not included in the Charts Docker container
Charts Beta is available at no cost

18. Feature Roadmap
Planned features include:
• External embedding
• Geospatial Charts
• Filtering enhancements
• Interactive dashboards
• Data Preparation
… Tell us what else you want to see!
The development, release, and timing of any
features or functionality described for our
products remains at our sole discretion. This
information is merely intended to outline our
general product direction and it should not be
relied on in making a purchasing decision nor is
this a commitment, promise or legal obligation
to deliver any material, code, or functionality.

19. Demo
Let’s See Some New Stuff!

20. Questions, Feedback, Requests,
Bugs?Find me at MongoDB.Local
Contact me later
• tom.hollander@mongodb.com
• @tomhollander
Send us a message or feature suggestion from any page in the Charts app

21. Thank You!