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https://docs.mongodb.com/manual/geospatial-queries/
MongoDB geospatial queries can interpret geometry on a flat surface or a sphere. 2dsphere indexes support only spherical queries (i.e. queries that interpret geometries on a spherical surface). 2d indexes support flat queries (i.e. queries that interpret geometries on a flat surface) and some spherical queries.
https://www.baeldung.com/mongodb-geospatial-support
Jun 02, 2019 · In this tutorial, we'll explore the Geospatial support in MongoDB. We'll discuss how to store geospatial data, geo indexing, and geospatial search. We'll also use multiple geospatial search queries like near, geoWithin, and geoIntersects.
https://docs.mongodb.com/manual/reference/operator/query-geospatial/
Note. For details on specific operator, including syntax and examples, click on the specific operator to go to its reference page.
https://docs.mongodb.com/manual/core/geospatial-indexes/
Calculation of Geohash Values for 2d Indexes¶. When you create a geospatial index on legacy coordinate pairs, MongoDB computes geohash values for the coordinate pairs within the specified location range and then indexes the geohash values.. To calculate a geohash value, recursively divide a two-dimensional map into quadrants.
https://docs.mongodb.com/manual/core/2dsphere/
For inserts, MongoDB inserts the document but does not add to the 2dsphere index. For a compound index that includes a 2dsphere index key along with keys of other types, only the 2dsphere index field determines whether the index references a document. Earlier versions of MongoDB only support 2dsphere (Version 1) indexes.
https://www.mongodb.com/blog/post/geospatial-performance-improvements-in-mongodb-3-2
Oct 09, 2015 · Geospatial Performance Improvements in MongoDB 3.2 What's New in MongoDB 3.2. Brandon Zhang and Kevin Albertson ... #Technical. Background. MongoDB supports geospatial data and specialized indexes that make building applications with geospatial features easy and scalable. One of the most ... Education & Support. View Course Catalog ...
https://docs.atlas.mongodb.com/sample-data/sample-geospatial/
Collections¶. This database contains a single collection called shipwrecks.. The sample_geospatial.shipwrecks collection contains all of the shipwreck data in the dataset. Each document in the collection represents a shipwreck and contains details such as where the wreck took place and the type of wreck that occurred.
https://stackoverflow.com/questions/4150527/geospatial-support-sql-server-08-vs-mongodb
To make a long story short, SQL Server is way more robust than mongo with geospatial support. However, if you are just storing points on a map and want to calculate distances, mongo is more than adequate. MongoDB supports Geospatial points. SQL Server supports geospatial objects of an arbitrary number of points.
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