Searching for Nearby Points of Interest with MongoDB and Mapbox

When it comes to location data, MongoDB’s ability to work with GeoJSON through geospatial queries is often under-appreciated. Being able to query for intersecting or nearby coordinates while maintaining performance is functionality a lot of organizations are looking for.

Take the example of maintaining a list of business locations or even a fleet of vehicles. Knowing where these locations are, relative to a particular position isn’t an easy task when doing it manually.

In this tutorial we’re going to explore the $near operator within a MongoDB Realm application to find stored points of interest within a particular proximity to a position. These points of interest will be rendered on a map using the Mapbox service.

Real-Time Location Changes with MongoDB Realm, Change Streams, and Mapbox

When it comes to modern web applications, interactions often need to be done in real-time. This means that instead of periodically checking in for changes, watching or listening for changes often makes more sense.

Take the example of tracking something on a map. When it comes to package shipments, device tracking, or anything else where you need to know the real-time location, watching for those changes in location is great. Imagine needing to know where your fleet is so that you can dispatch them to a nearby incident?

When it comes to MongoDB, watching for changes can be done through change streams. These change streams can be used in any of the drivers, including front-end applications with MongoDB Realm.

In this tutorial, we’re going to leverage MongoDB Realm change streams. When the location data in our NoSQL documents change, we’re going to update the information on an interactive map powered by Mapbox.