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JMP Pro VS Hadoop

Compare JMP Pro VS Hadoop and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

JMP Pro logo JMP Pro

JMP Pro predictive analytics software provides advanced algorithms for building, assessing and managing predictive models. Request a trial version.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • JMP Pro Landing page
    Landing page //
    2023-07-15
  • Hadoop Landing page
    Landing page //
    2021-09-17

JMP Pro videos

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Hadoop videos

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What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to JMP Pro and Hadoop)

JMP Pro

Hadoop

Technical Computing
100 100%
Technical Computing
0% 0
Databases
7 7%
Databases
93% 93
Analytics Dashboard
100 100%
Analytics Dashboard
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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Reviews

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

JMP Pro Reviews

We have no reviews of JMP Pro yet.
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Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Hadoop seems to be more popular. It has been mentiond 15 times 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.

JMP Pro mentions (0)

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

Hadoop mentions (15)

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What are some alternatives?

When comparing JMP Pro and Hadoop, you can also consider the following products

RapidMiner Studio - Visual workflow designer for predictive analytics that brings data science and machine learning to everyone on the analytics team

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Anaconda - Anaconda is the leading open data science platform powered by Python.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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