Software Alternatives & Startups

DataGrip VS DataMelt

Compare DataGrip VS DataMelt and see what are their differences

DataGrip

Tool for SQL and databases

Rating
0 reviews
DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.

Rating
5.0 · 1 review
Pricing
Open source Freemium Free trial
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, DataGrip seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
Database Management popularity
100% vs 0%
alternatives listed
240+ vs 44

Base details

Website, pricing, platforms and company facts side by side.

DataGrip
DataMelt
Website jetbrains.com datamelt.org
Pricing —
Open source Freemium Free trial
Platforms —
Linux Windows Mac OSX Java Cross Platform +2
Company — 2020
Listed in

About DataGrip and DataMelt

In their own words, as submitted to SaaSHub.

DataGrip
DataMelt

No description of DataGrip yet.

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...

Read more about DataMelt

Features and specs

What each product offers, as listed by its team.

DataGrip 7 features
DataMelt 5 features
  • Cross-Platform Support
    DataGrip runs on multiple operating systems including Windows, macOS, and Linux, providing flexibility across various development environments.
  • Intelligent Query Console
    The query console offers code completion, syntax highlighting, and on-the-fly error detection, making SQL coding faster and more accurate.
  • Database Support
    Supports a wide range of databases, including MySQL, PostgreSQL, SQLite, Oracle, and many others, allowing users to manage different database systems within one tool.
  • Data Visualization
    Provides powerful data visualization tools, including table and schema views, which help in understanding and managing the data more effectively.
  • Refactoring Tools
    Includes advanced refactoring capabilities such as renaming, changing column types, and finding usages, which help maintain and update databases with ease.
  • Version Control Systems Integration
    Integrates with popular VCS systems like Git and SVN, allowing for seamless code versioning and collaboration.
  • Customizable Interface
    Highly customizable interface with various themes and layout configurations that adapt to different working styles and preferences.

Possible disadvantages

  • Cost
    DataGrip is a commercial tool and requires a subscription, which may be a significant cost for individual developers or small teams.
  • Resource Intensive
    Tends to consume a considerable amount of system resources, which may affect performance on less powerful machines.
  • Steep Learning Curve
    The tool offers a wide range of features and customizations that can be overwhelming for beginners and may require time to learn and master.
  • Occasional Bugs
    Users have reported occasional bugs and instability issues, which can disrupt workflow and productivity.
  • Limited Non-SQL Database Support
    Primarily designed for SQL databases and has limited support or features for non-SQL databases compared to specialized tools.
  • Complex Configuration
    Initial setup and configuration can be complex, particularly when integrating with various databases and external tools.
  • Versatility
    DataMelt supports a wide range of programming languages including Java, Jython, Groovy, and JRuby, making it versatile for users familiar with different coding environments.
  • Rich Libraries
    It offers a comprehensive set of scientific libraries for numerical computation, data analysis, and visualization, which can be beneficial for complex scientific research and data processing tasks.
  • Cross-Platform
    DataMelt is platform-independent, running on any operating system that supports Java, such as Windows, macOS, and Linux. This makes it accessible to a wide audience.
  • Integrated Development Environment
    DataMelt provides a powerful IDE that integrates coding, plotting, and visualization tools, streamlining the workflow for developers and researchers.
  • Free and Open Source
    The core functionality of DataMelt is available for free, which can be appealing to individuals and organizations looking for budget-friendly computational tools.

Videos

Walkthroughs and reviews on video.

DataGrip 1 video + Add
DataMelt 0 videos + Add

DataGrip Introduction

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
DataGrip
DataMelt
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing DataGrip and DataMelt.

How would you describe the primary audience of your product?

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 DataGrip and DataMelt. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

DataGrip no reviews yet
DataMelt 5.0 · 1 review

View more

  • Great 3D graphics
    SaaSHub review
    · Dec 2019

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

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

DataGrip 1 mention
DataMelt 0 mentions

Tracking DataMelt since Mar 2021.

Alternatives to DataGrip and DataMelt

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