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  2. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    Azure Cosmos DB is a globally distributed, multi-model database service offered by Microsoft. It is designed to provide high availability, scalability, and low-latency access to data for modern applications.

  3. Comparison of multi-model databases - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_multi-model...

    Database SQL Document Graph Object License Transactions ArangoDB: No: Yes: Yes: No: Business Source License 1.1: Full ACID, pessimistic locking, configurable durability

  4. Azure Data Lake - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Lake

    Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, [2] which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live. COSMOS features a SQL-like query engine called SCOPE upon which U-SQL was built. [2]

  5. Comparison of structured storage software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_structured...

    Berkeley DB/Dbm 1.x Key-value Yes No No No No C: old school Various Berkeley DB Sleepycat/Oracle Berkeley DB 5.x Key-value Yes Yes Yes Yes No C, C++, or Java dbm, Sleepycat/Oracle dual GPL-like Sleepycat License Apache Cassandra: Key-value Yes Yes Distributed Partial Only supports CAS (Check And Set) after 2.1.1 and later [5] [6] Yes Java

  6. 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.

  7. MongoDB - Wikipedia

    en.wikipedia.org/wiki/MongoDB

    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 . Released in February 2009 by 10gen (now MongoDB Inc. ), it supports features like sharding , replication , and ACID transactions (from version 4.0).

  8. Better Cloud Stock: Salesforce vs. MongoDB - AOL

    www.aol.com/better-cloud-stock-salesforce-vs...

    MongoDB grew rapidly because its non-relational database, which collected unstructured data, was more flexible and customizable than older relational databases which relied on rigid tables and charts.

  9. Microsoft Azure SQL Database - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure_SQL_Database

    Azure SQL Database is built on the foundation of the SQL server database and therefore, kept in sync with the latest version [2] of it by using the common code base. Since the cloud version of the database technology strives to decouple it from the underlying computing infrastructure, it doesn't support some of the context specific T-SQL ...