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Some - can only reverse engineer the entire database at once and drops any user modifications to the diagram (can't "refresh" the diagram to match the database) Forward engineering - the ability to update the database schema with changes made to its entities and relationships via the ER diagram visual designer Yes - can update user-selected ...
The EE version is based on CE but also provides support of NoSQL/BigData databases (Cassandra, MongoDB and Redis) and includes a few additional Eclipse plugins. In 2015 the DBeaver source code/community moved to GitHub. [10] In 2017 DBeaver CE was relicensed under Apache License (starting from version 4.x). [11]
Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization Teamwork/repository Database Workbench: Conceptual, logical, physical IE (Crow’s foot) Yes Yes Update database and/or update model No Enterprise Architect
SQL support Datatypes License Description Caché: 2017.2.1 Caché ObjectScript (dynamic language), Basic. Java/.NET object mapping supported. SQL subset. Object notation allowed. Supports embedded SQL, dynamic SQL and xDBC access. Proprietary: MUMPS ancestry. Includes built-in support for XML, Web/AJAX and an EMB system called Ensemble.
A document-oriented database is a specialized key-value store, which itself is another NoSQL database category. In a simple key-value store, the document content is opaque. A document-oriented database provides APIs or a query/update language that exposes the ability to query or update based on the internal structure in the document. This ...
LevelDB is used as the backend database for Google Chrome's IndexedDB and is one of the supported backends for Riak. [8] Additionally, Bitcoin Core and go-ethereum store the blockchain metadata using a LevelDB database. [9] Minecraft Bedrock Edition uses a modified version for chunk and entity data storage. [10] Autodesk AutoCAD 2016 also uses ...
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]
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