Software Alternatives & Startups

DataMelt VS TablePlus

Compare DataMelt VS TablePlus and see what are their differences

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
TablePlus

Easily edit database data and structure

Rating
0 reviews
Pricing
Open source
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, TablePlus seems to be more popular. It has been mentioned 67 times since March 2021.

social mentions
0 vs 67
Technical Computing popularity
100% vs 0%
alternatives listed
44 vs 240+

Base details

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

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

About DataMelt and TablePlus

In their own words, as submitted to SaaSHub.

DataMelt
TablePlus

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

No description of TablePlus yet.

Features and specs

What each product offers, as listed by its team.

DataMelt 5 features
TablePlus 7 features
  • 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.
  • User-Friendly Interface
    TablePlus offers a clean, intuitive interface that makes it easy for users to navigate through various databases without extensive training.
  • Multi-Database Support
    TablePlus supports a wide range of databases including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, and more, making it a versatile choice for database management.
  • Speed and Performance
    The application is optimized for speed, offering fast query processing and minimal lag, which improves efficiency for developers.
  • Advanced Filtering
    TablePlus provides powerful filtering and search capabilities that allow users to easily find and manipulate data according to specific requirements.
  • Integrated SSH
    The tool includes built-in SSH capabilities, which makes it secure and convenient to connect to remote databases without additional software.
  • Active Development and Updates
    TablePlus is continually updated with new features and improvements based on user feedback, ensuring the tool evolves to meet current needs.
  • Keyboard Shortcuts
    It includes extensive keyboard shortcut support, enabling power users to perform tasks more quickly and efficiently.

Possible disadvantages

  • Pricing
    While TablePlus offers a free trial, the full version comes with a cost, which may be a consideration for individuals or small teams with limited budgets.
  • Limited Customization
    Although the interface is user-friendly, TablePlus offers limited customization options for users who prefer to tailor their tools highly to their specific needs.
  • Platform Limitations
    TablePlus primarily supports MacOS and Windows. While there is a version for Linux, it is not as feature-rich compared to the MacOS version.
  • No Built-In Cloud Sync
    TablePlus lacks built-in cloud sync capabilities, which might be a disadvantage for users needing seamless data syncing across multiple devices.
  • Missing Advanced Features
    Certain advanced database management features, such as data visualization and complex analytics, are not as robust as those found in some competing tools.
  • Learning Curve for Advanced Features
    Although easy to use for basic tasks, mastering some of the more advanced features might require familiarity or additional learning.

Videos

Walkthroughs and reviews on video.

DataMelt 0 videos + Add
TablePlus 1 video + Add

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

09 - Instalar TablePlus en Mac

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
DataMelt
TablePlus
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing DataMelt and TablePlus.

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 DataMelt and TablePlus. 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.

DataMelt 5.0 · 1 review
TablePlus no reviews yet
  • 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

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Social recommendations and mentions

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

DataMelt 0 mentions
TablePlus 67 mentions

Tracking DataMelt since Mar 2021.

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Alternatives to DataMelt and TablePlus

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