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The following tables compare general and technical information for a number of available database administration tools. Please see individual product articles for further information. Please see individual product articles for further information.
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
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 ...
Smartsheet – Online spreadsheet for project management, interactive Gantt, file sharing, integrated with Google Apps [8] Sourcetable [9] – AI spreadsheet that generates formulas, charts, SQL, and analyzes data. ThinkFree Online Calc – as part of the ThinkFree Office online office suite, using Java
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.
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
SELECT * FROM database1. foo vs. SELECT * FROM database2. foo (no explicit schema between database and table) SELECT * FROM [database1.] default. foo vs. SELECT * FROM [database1.] alternate. foo (no explicit database prefix) The problem that arises is that former MySQL users will create multiple databases for one project. In this context ...
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.