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2. MongoDB - Wikipedia

   en.wikipedia.org/wiki/MongoDB

   mongodb.com. MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB utilizes JSON -like documents with optional schemas. MongoDB is developed by MongoDB Inc. and current versions are licensed under the Server Side Public License (SSPL).

3. Hierarchical navigable small world - Wikipedia

   en.wikipedia.org/wiki/Hierarchical_navigable...

   t. e. The Hierarchical navigable small world (HNSW) algorithm is a graph -based approximate nearest neighbor search technique used in many vector databases. [1][2] Nearest neighbor search without an index involves computing the distance from the query to each point in the database, which for large datasets is computationally prohibitive.

4. Vector database - Wikipedia

   en.wikipedia.org/wiki/Vector_database

   A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor (ANN) algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.

5. Cloud database - Wikipedia

   en.wikipedia.org/wiki/Cloud_database

   A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.

6. Cosmos DB - Wikipedia

   en.wikipedia.org/wiki/Cosmos_DB

   It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [ 1 ] which means it can handle unstructured, semi-structured, structured, and vector data types. [ 2 ]

7. Mongoose (MongoDB) - Wikipedia

   en.wikipedia.org/wiki/Mongoose_(MongoDB)

   MIT. Website. mongoosejs.com. Mongoose is a JavaScript object-oriented programming library that creates a connection between MongoDB and the Node.js JavaScript runtime environment. [1][2] It provides a straightforward, schema-based solution to model application data. Mongoose includes built-in type casting, validation, query building, business ...

8. Amazon DocumentDB - Wikipedia

   en.wikipedia.org/wiki/Amazon_DocumentDB

   Amazon DocumentDB. Amazon DocumentDB is a managed proprietary NoSQL database service that supports document data structures, with some compatibility with MongoDB version 3.6 (released by MongoDB in 2017) and version 4.0 (released by MongoDB in 2018). As a document database, Amazon DocumentDB can store, query, and index JSON data.

9. Web mapping - Wikipedia

   en.wikipedia.org/wiki/Web_mapping

   In proprietary or open source collaborative software, users collaborate to create and improve the web mapping experience. This type of web mapping is the most popular or familiar amongst the population today. [22] Some collaborative web mapping projects are: Google Map Maker. Here Map Creator.