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MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB uses 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).
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. It is available on Amazon Web ...
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MongoDB filed for an initial public offering on September 21, 2017 and went public on NASDAQ that October 20th. [13] It raised $192 million, valuing the company at $1.6 billion overall. [ 12 ] Its market capitalization varied greatly afterwards, reaching $39 billion in 2021 and coming back down to $10 billion by 2024.
The Server Side Public License (SSPL) is a source-available copyleft software license introduced by MongoDB Inc. in 2018. [2] [3]It includes most of the text and provisions of the GNU Affero General Public License version 3 (AGPL v3), [4] but modifies its provisions for software that is conveyed over a network—requiring that anyone who offers the functionality of SSPL-licensed software to ...
It allows two-way synchronization between the Realm Object Server [7] [8] and the client-side databases that belong to the given logged-in user. Both a developer and a commercial edition [ 9 ] was released, along with a business license [ 10 ] for integrating with other database management systems such as PostgreSQL .
Only documents are accessible via CMIS, other content types are inaccessible. IBM LotusLive Files No IBM QuickFile [17] No IBM Lotus Quickr 8.5 Lists No Only data lists are accessible via CMIS, other content types are inaccessible. LogicalDOC 6.5.1+ [18] No Magnolia (CMS) 4.5 [19] Yes Microsoft SharePoint Server [20] [21] No
NoSQL (originally referring to "non-SQL" or "non-relational") [1] is an approach to database design that focuses on providing a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases.