Software Alternatives & Reviews

Microsoft HDInsight VS JMP

Compare Microsoft HDInsight VS JMP and see what are their differences

Microsoft HDInsight logo Microsoft HDInsight

A managed Apache Hadoop, Spark, R, HBase, and Storm cloud service made easy

JMP logo JMP

JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.
  • Microsoft HDInsight Landing page
    Landing page //
    2023-04-10
  • JMP Landing page
    Landing page //
    2023-04-12

Microsoft HDInsight videos

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JMP videos

Review Of The UAD Marshall JMP 2203 Plug-in From Universal Audio

More videos:

  • Demo - Marshall JMP-1 - In Depth Demo by Leon Todd
  • Review - Marshall JMP 1 Watt Combo - Blues Harmonica Amp Review

Category Popularity

0-100% (relative to Microsoft HDInsight and JMP)
Data Dashboard
41 41%
59% 59
Technical Computing
0 0%
100% 100
Development
100 100%
0% 0
File Management
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Microsoft HDInsight and JMP

Microsoft HDInsight Reviews

We have no reviews of Microsoft HDInsight yet.
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JMP Reviews

25 Best Statistical Analysis Software
JMP is a top-rated tool for data exploration and analysis, delivering dynamic data visualization and an extensive selection of statistical tools to empower users to make well-informed decisions based on their findings.
Top 10 Free Statistical Analysis Software 2023
5. JMP Scripting Language (JSL) scripting is supported for automation, customisation, and expanding functionality.
9 Best Analysis Software for PC 2023
JMP is a software analysis software that can perform data manipulations and mining. It is a perfect alternative to MS Excel, which is famous for visualization. JMP is available on a free-trial and premium-based plan. The trial plan allows the user to interact with the software before deciding whether to purchase it.
Source: pdf.wps.com

Social recommendations and mentions

Based on our record, Microsoft HDInsight seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Microsoft HDInsight mentions (1)

  • What are some options for a server version of R?
    I also know that Microsoft used to as well with Microsoft Machine Learning Server, but I read their blog post update on deprecating that next year and, honestly still find it confusing--like, are they still having an R server option or is it just R integration into other server-based services? What is this "R Server for HDInsight" thing? Source: over 2 years ago
  • Is azure a viable career path for DE?
    Also there is HDInsight: https://azure.microsoft.com/en-us/services/hdinsight/. Source: over 2 years ago

JMP mentions (0)

We have not tracked any mentions of JMP yet. Tracking of JMP recommendations started around Mar 2021.

What are some alternatives?

When comparing Microsoft HDInsight and JMP, you can also consider the following products

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

MapR Converged Data Platform - An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

Stata - Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.