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Square VS DataMelt

Compare Square VS DataMelt and see what are their differences

Square

Square helps millions of sellers run their business-from secure credit card processing to point of sale solutions. Get paid faster with Square. Sign up today!

Rating
0 reviews
Alternatives Is it good?
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
Alternatives Is it good?
Budy.app
Budy is AI-powered cannabis POS and dispensary management software. Scale-based pricing, strain tracking, offline-first, and AI agents that run your dispensary operation. sponsored
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, Square seems to be more popular. It has been mentioned 41 times since March 2021.

social mentions
41 vs 0
Payments Processing popularity
100% vs 0%
alternatives listed
240+ vs 44

Base details

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

Square
DataMelt
Website squareup.com datamelt.org
Pricing —
Open source Freemium Free trial
Platforms —
Linux Windows Mac OSX Java Cross Platform +2
Company Startup from the United States 2020
Listed in
Payments Processing Payment Platform Credit Card Payments POS Credit Card Processing +2
Technical Computing Numerical Computation Data Dashboard Machine Data Analytics Statistics Data Visualization Predictive Analytics +4

About Square and DataMelt

In their own words, as submitted to SaaSHub.

Square
DataMelt

No description of Square 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.

Square 6 features
DataMelt 5 features
  • Ease of Use
    Square's platform is known for being user-friendly and easy to set up, making it accessible for small business owners with little technical expertise.
  • Transparent Pricing
    Square offers straightforward, flat-rate pricing with no hidden fees, which helps businesses understand their costs upfront.
  • Integrated Solutions
    Square provides a comprehensive suite of tools including POS systems, online store, invoicing, payroll, and more, enabling seamless business operations.
  • No Long-Term Contracts
    Square does not require long-term contracts or commitments, allowing businesses flexibility in choosing their service provider.
  • Omnichannel Capabilities
    Square supports sales across various channels, including in-person, online, and mobile, offering versatility for different business models.
  • Next-Day Deposits
    Square offers next-day deposits, ensuring that businesses have quick access to their funds, which is critical for cash flow management.

Possible disadvantages

  • Processing Fees
    While the pricing is transparent, the fees per transaction can add up, especially for businesses with high sales volumes or low margins.
  • Account Stability
    Some users have reported sudden holds or terminations of their Square accounts, which can disrupt business operations.
  • Limited Customer Support
    Square's customer support can be limited, particularly for smaller businesses or during high-demand periods, which can affect issue resolution time.
  • Additional Costs for Advanced Features
    Some advanced features and integrations may incur additional costs, making it more expensive for businesses that need these functionalities.
  • Geographic Limitations
    Square is primarily available in certain countries, which may be restrictive for businesses with international operations or customers.
  • 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.

Analysis

An editorial look at what each product does well and who it suits.

Square
DataMelt

Overall verdict

  • Yes, Square is generally considered a good choice for businesses looking for an all-in-one payment and business management solution. It is particularly praised for its user-friendly interface, competitive pricing, and reliable customer support.

Why this product is good

  • Square, known for its point of sale solutions, has built a strong reputation for its ease of use, transparent pricing, and comprehensive features suited for small to medium-sized businesses. It offers seamless integration with various hardware, software, and payment processing services, which are particularly appreciated by users who want a straightforward setup. The platform also provides useful analytics, invoicing, and inventory management features that help businesses efficiently manage their operations.

Recommended for

    Square is recommended for small to medium-sized businesses, especially in the retail, food and beverage, and service industries, who need a versatile and scalable payment processing and business management solution. It is particularly beneficial for those who prefer a cloud-based service with seamless integration across multiple devices.

No analysis of DataMelt yet.

Videos

Walkthroughs and reviews on video.

Square 9 videos + Add
DataMelt 0 videos + Add

Square vs PayPal 2020: A Side by Side Comparison

More videos

  • - Square Mobile Credit Card Reader Review | Squareup Demo | Pros & Cons
  • - I switched from Square to Paymentech. IMO, Squareup merchant services is garbage.
  • - What is Square - Square Review - Square Pricing Plans Explained
  • - 6 days left to dump Square merchant services before they begin screwing small businesses
  • - Square Eftpos Terminal Review 2023
  • - Square Review | Is It the BEST POS System for Online Payments & Invoicing?
  • - Square For Small Business: Is Square Right For You? [Square Explained]

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
Square
DataMelt
100% 100%
Payments Processing
0% 0%
0% 0%
Technical Computing
100% 100%
100% 100%
Payment Platform
0% 0%
0% 0%
Office & Productivity
100% 100%

Questions & Answers

As answered by people managing Square 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 Square 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.

Square 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.

Square 41 mentions
DataMelt 0 mentions
  • Advertisement - Help Finding a Global Entry Appointment
    This is an advertisement and I want to provide all the details.. I am a software developer and avid traveler. I own this website and am the sole developer who wrote the entire software! This idea came about when I signed up for Global... Source: over 3 years ago
  • How common is card/contactless payment?
    And now with Square it's dirt simple to accept credit card transactions, and the software even integrates into the NFC transceiver in modern iPhones--so even street vendors and local artists accept contactless payment cards. Source: almost 4 years ago
  • FREE GAME 💳💰💰
    Https://squareup.com/us/en - Better with aged account and/or verified business. Do custom amount charges on phone and type in card info manually. Source: almost 4 years ago

View more

Tracking DataMelt since Mar 2021.

Alternatives to Square and DataMelt

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

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