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QlikSense VS DataMelt

Compare QlikSense VS DataMelt and see what are their differences

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Contents:
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  2. » Reviews
  3. » Alternatives

QlikSense logo QlikSense

A business discovery platform that delivers self-service business intelligence capabilities

DataMelt logo DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.
  • QlikSense Landing page
    Landing page //
    2022-08-02
  • DataMelt Landing page
    Landing page //
    2019-07-18

DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The program is used for numeric computation, statistics, analysis of large data volumes ("big data") and scientific visualization. Full description: https://handwiki.org/wiki/Software:DataMelt

QlikSense

Website
qlik.com
$ Details
-
Platforms
-
Release Date
-
Edit details

DataMelt

Website
datamelt.org
$ Details
freemium
Platforms
Linux Windows Mac OSX Java Cross Platform
Release Date
2020 June
Edit details

Category Popularity

0-100% (relative to QlikSense and DataMelt)

QlikSense

DataMelt

Data Dashboard
100 100%
Data Dashboard
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Numerical Computation
0 0%
Numerical Computation
100% 100

Questions and Answers

As answered by people managing QlikSense and DataMelt.

How would you describe your primary audience?

DataMelt's answer:

students and data scientists

What's the story behind your product?

DataMelt's answer:

DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.

What makes your product unique?

DataMelt's answer:

Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby

Why should a person choose your product over its competitors?

DataMelt's answer:

Large database of examples and code snippets https://datamelt.org/code/

Who are some of the biggest customers of your product?

DataMelt's answer:

Students at universities and data scientists.

Which are the primary technologies used for building your product?

DataMelt's answer:

Java (JDK any new new release including JDK20)

User comments

Share your experience with using QlikSense and DataMelt. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare QlikSense and DataMelt

QlikSense Reviews

We have no reviews of QlikSense yet.
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DataMelt Reviews

  1. Great 3D graphics

    I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples

What are some alternatives?

When comparing QlikSense and DataMelt, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

LabPlot - LabPlot is a KDE-application for interactive graphing and analysis of scientific data.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Aveloy Graph - Aveloy Graph is an application for graph creation / data visualization

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