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Fujitsu Symfoware Analytics Server VS MyAnalytics

Compare Fujitsu Symfoware Analytics Server VS MyAnalytics and see what are their differences

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Fujitsu Symfoware Analytics Server logo Fujitsu Symfoware Analytics Server

Fujitsu Symfoware Analytics Server is a high-performance database software that is designed for use with data warehouses.

MyAnalytics logo MyAnalytics

MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.
  • Fujitsu Symfoware Analytics Server Landing page
    Landing page //
    2023-09-18
  • MyAnalytics Landing page
    Landing page //
    2023-09-21

Category Popularity

0-100% (relative to Fujitsu Symfoware Analytics Server and MyAnalytics)

Fujitsu Symfoware Analytics Server

MyAnalytics

Big Data
100 100%
Big Data
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Big Data Infrastructure
100 100%
Big Data Infrastructure
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

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What are some alternatives?

When comparing Fujitsu Symfoware Analytics Server and MyAnalytics, you can also consider the following products

SQream - SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

Pepperdata - Pepperdata's software runs on existing Hadoop clusters to give operators predictability, capacity, and visibility for their Hadoop jobs.

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

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