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BlueData VS MyAnalytics

Compare BlueData VS MyAnalytics and see what are their differences

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BlueData logo BlueData

BlueData's software platform makes it easier, faster and more cost-effective for organizations to deploy Big Data infrastructure on-premises.

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.
  • BlueData Landing page
    Landing page //
    2023-06-13
  • MyAnalytics Landing page
    Landing page //
    2023-09-21

BlueData videos

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HPE BlueData Software Demo | AI, Machine Learning and Data Science

More videos:

  • Review - Kumar Sreekanti, BlueData - #BigDataSV 2016 - #theCUBE

MyAnalytics videos

No MyAnalytics videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to BlueData and MyAnalytics)

BlueData

MyAnalytics

Big Data
100 100%
Big Data
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Dashboard
38 38%
Data Dashboard
62% 62
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

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What are some alternatives?

When comparing BlueData and MyAnalytics, you can also consider the following products

BitRefiney - Bit Refinery is an enterprise VMware and Big Data hosting provider.

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.

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

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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