Sample Datasets

MongoDB provides sample data you can load into your deployments. You can use this data to quickly get started experimenting with data in MongoDB and using tools such as the Atlas UI and MongoDB Charts.

Available Sample Datasets

The following table shows the sample datasets available. Click a sample dataset to learn more about it.

For instructions on loading this sample data into your deployment , see Load Sample Data Into A Local Deployment or Import Sample Data Into Your Atlas Deployment.

Dataset Name	Description
Sample AirBnB Listings Dataset	Contains details on AirBnB listings.
Sample Analytics Dataset	Contains training data for a mock financial services application.
Sample Geospatial Dataset	Contains shipwreck data.
Sample Guides Dataset	Contains planet data.
Sample Mflix Dataset	Contains movie data. Includes vector embeddings.
Sample Restaurants Dataset	Contains restaurant data.
Sample Supply Store Dataset	Contains data from a mock office supply store.
Sample Training Dataset	Contains MongoDB training services dataset.
Sample Weather Dataset	Contains detailed weather reports.

Sample Data Namespaces

When you load the sample data, MongoDB creates the following namespaces on your deployment:

Warning

If any of these namespaces already exist on your cluster when you attempt to load the sample data, the operation will fail and no sample data will be loaded into your cluster.

Database	Collection
`sample_airbnb`	`listingsAndReviews`
`sample_analytics`	`accounts`
`sample_analytics`	`customers`
`sample_analytics`	`transactions`
`sample_geospatial`	`shipwrecks`
`sample_guides`	`planets`
`sample_mflix`	`comments`
`sample_mflix`	`embedded_movies`
`sample_mflix`	`movies`
`sample_mflix`	`theaters`
`sample_mflix`	`users`
`sample_supplies`	`sales`
`sample_training`	`companies`
`sample_training`	`grades`
`sample_training`	`inspections`
`sample_training`	`posts`
`sample_training`	`routes`
`sample_training`	`trips`
`sample_training`	`zips`
`sample_weatherdata`	`data`

MongoDB Courses that Use Sample Data

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Clustered Collections

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