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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: Conceptual, Logical & Physical + MDA Transform of Logical to Physical IDEF1X, UML DDL, Information Engineering & ERD: Yes Yes
The following tables compare general and technical information for a number of available database administration tools. Please see individual product articles for further information. This article is neither all-inclusive nor necessarily up to date. Systems listed on a light purple background are no longer in active development.
In comparison, a graph database query is easily able to sort through the relationship graph to present the results. There are also results that indicate simple, condensed, and declarative queries of the graph databases do not necessarily provide good performance in comparison to the relational databases.
Note (2): Materialized views are not supported in Informix; the term is used in IBM's documentation to refer to a temporary table created to run the view's query when it is too complex, but one cannot for example define the way it is refreshed or build an index on it. The term is defined in the Informix Performance Guide. [85]
JSON Summarization, clustering 2015 [28] M. Alhagri RE3D (Relationship and Entity Extraction Evaluation Dataset) Entity and Relation marked data from various news and government sources. Sponsored by Dstl Filtered, categorisation using Baleen types not known JSON Classification, Entity and Relation recognition 2017 [29] Dstl
JSON: No Smile Format Specification: Yes No Yes Partial (JSON Schema Proposal, other JSON schemas/IDLs) Partial (via JSON APIs implemented with Smile backend, on Jackson, Python) — SOAP: W3C: XML: Yes W3C Recommendations: SOAP/1.1 SOAP/1.2: Partial (Efficient XML Interchange, Binary XML, Fast Infoset, MTOM, XSD base64 data) Yes Built-in id ...
Db2, Firebird, MariaDB, MySQL, Node.js, Oracle, Postgres, SQL Server, SQLite, YugabyteDB ExtendsClass [ao] Free Yes No No Yes MySQL, SQLite (SQL.js) PhpFiddle [ap] Free Yes No No Yes MySQL, SQLite runnable [aj] Free Yes Yes Yes No SQL Fiddle [aq] Free No No No Yes MySQL, Oracle, PostgreSQL, SQLite (WebSQL), SQLite (SQL.js) W3Schools [ae] Free ...
This is a comparison of the performance of notable data structures, as measured by the complexity of their logical operations. For a more comprehensive listing of data structures, see List of data structures. The comparisons in this article are organized by abstract data type.