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Whenever a query or an update addresses an ordinary view's virtual table, the DBMS converts these into queries or updates against the underlying base tables. A materialized view takes a different approach: the query result is cached as a concrete ("materialized") table (rather than a view as such) that may be updated from the original base ...
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).
Yes - can create table, alter its definition and data, and add new rows; Some - can only create/alter table definition, not data; Browse table: Yes - can browse table definition and data; Some - can only browse table definition; Multi-server support: Yes - can manage from the same window/session multiple servers
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 ...
Microsoft SQL Server: Microsoft: 1989 2022 [22] 2022-11-16; 2 years ago Proprietary: No Microsoft SQL Server Compact (Embedded Database) Microsoft: 2000 2011 (v4.0) Proprietary: No Mimer SQL: Mimer Information Technology 1978 11.0.8E 2024-10-22 Proprietary: No MonetDB: MonetDB Foundation [23] 2004 Aug2024 [24] 2024-08-26 Mozilla Public License ...
Third party support for database container images has grown, including MongoDB, PostgreSQL, MySQL from Oracle, and Microsoft SQL Server from Microsoft, and from independent port's of docker (software) from Windocks [2] Kubernetes, and the development of the Kubernetes Operator pattern by CoreOS, further extended the ability to orchestrate ...
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]
Views can be defined as read-only or updatable. If the database system can determine the reverse mapping from the view schema to the schema of the underlying base tables, then the view is updatable. INSERT, UPDATE, and DELETE operations can be performed on updatable views. Read-only views do not support such operations because the DBMS cannot ...