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  2. Import and export of data - Wikipedia

    en.wikipedia.org/wiki/Import_and_export_of_data

    The import and export of data is the automated or semi-automated input and output of data sets between different software applications.It involves "translating" from the format used in one application into that used by another, where such translation is accomplished automatically via machine processes, such as transcoding, data transformation, and others.

  3. MongoDB - Wikipedia

    en.wikipedia.org/wiki/MongoDB

    MongoDB is also available as an on-demand, fully managed service. MongoDB Atlas runs on AWS, Microsoft Azure and Google Cloud Platform. [45] On March 10, 2022, MongoDB warned its users in Russia and Belarus that their data stored on the MongoDB Atlas platform will be destroyed as a result of American sanctions related to the Russo-Ukrainian War ...

  4. MongoDB Inc. - Wikipedia

    en.wikipedia.org/wiki/MongoDB_Inc.

    MongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a NoSQL database that stores data in JSON-like documents with flexible schemas.

  5. Realm (database) - Wikipedia

    en.wikipedia.org/wiki/Realm_(database)

    In September 2023, the Realm database was rebranded to be called "Atlas Device SDKs". However, in the following year, September 2024, MongoDB announced the deprecation of the Atlas Device Sync service, synchronizing Realm with MongoDB. The database will stay available as open-source, but will no longer be maintained by the MongoDB team. [14]

  6. Cloud database - Wikipedia

    en.wikipedia.org/wiki/Cloud_database

    Users are given tools to create and manage database instances, and control users. Some cloud providers also offer tools to manage database structures and data. [3] Many cloud providers offer both relational (Amazon RDS, SQL Server) and NoSQL (MongoDB, Amazon DynamoDB) databases. [3] This is a type of software as a service (SaaS).

  7. 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 algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.

  8. 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.

  9. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    The graph relates the data items in the store to a collection of nodes and edges, the edges representing the relationships between the nodes. The relationships allow data in the store to be linked together directly and, in many cases, retrieved with one operation. Graph databases hold the relationships between data as a priority.