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2. Comparison of data modeling tools - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_data...

   Tool 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

3. Comparison of Business Process Model and Notation modeling tools

   en.wikipedia.org/wiki/Comparison_of_Business...

   Other Activiti: Alfresco Software, Inc. and the Activiti developer community Modeler, Simulation, Execution.Data elements are not supported. Limited supported formats (read/saved internally in BPMN format without exporting capabilities).

4. Comparison of packet analyzers - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_packet_analyzers

   Free justniffer: The Justniffer team March 21, 2016 / 0.5.15 [7] CLI: GNU General Public License: Free Kismet: Mike Kershaw (dragorn) May 2, 2020 / 2020-04-R3 [8] CLI: GNU General Public License: Free Microsoft Message Analyzer Microsoft: October 28, 2016 / 1.4 [9] GUI Proprietary: Free Microsoft Network Monitor: Microsoft: June 24, 2010 / 3.4 ...

5. Comparison of network monitoring systems - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_network...

   Distributed monitoring Able to leverage more than one server to distribute the load of network monitoring. Inventory Keeps a record of hardware and/or software inventory for the hosts and devices it monitors. Platform The platform (Coding Language) on which the tool was developed/written. Data storage method

6. Comparison of statistical packages - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_statistical...

   "A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology. 21 (2). Archived from the original (PDF) on October 25, 2005.

7. Azure Data Explorer - Wikipedia

   en.wikipedia.org/wiki/Azure_Data_Explorer

   Azure Data Explorer can ingest 200 MB per second per node. [14] Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub, [21] or programmatic ingestion using SDKs. Data visualization can be achieved using their native dashboard offering, or with tools like Power BI [21] [22] or Grafana ...