Software Alternatives, Accelerators & Startups

Spreadsheet.com VS Azure Machine Learning Studio

Compare Spreadsheet.com VS Azure Machine Learning Studio and see what are their differences

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.

Spreadsheet.com logo Spreadsheet.com

Spreadsheets that come alive as applications

Azure Machine Learning Studio logo Azure Machine Learning Studio

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
  • Spreadsheet.com Landing page
    Landing page //
    2023-07-08
  • Azure Machine Learning Studio Landing page
    Landing page //
    2021-08-03

Spreadsheet.com features and specs

  • Familiar Interface
    Spreadsheet.com retains the familiar spreadsheet interface, making it easy for users who are accustomed to traditional spreadsheets to adopt.
  • Database Functionality
    Offers database-style functionalities, such as forms and linked worksheets, allowing users to manage structured data more efficiently.
  • Customizable Workflows
    Users can create custom workflows using automation and data modeling features to suit specific project or organizational needs.
  • Collaboration Features
    Real-time collaboration tools and sharing options make it easy for teams to work together on projects from anywhere.
  • Integration Capabilities
    Integrates with various popular third-party applications, expanding its functionality and utility in diverse work environments.

Possible disadvantages of Spreadsheet.com

  • Learning Curve
    Users may experience a learning curve due to the additional functionalities compared to traditional spreadsheets.
  • Performance
    Complex or very large datasets can sometimes impact performance, slowing down the responsiveness of the application.
  • Cost
    While there is a free version, some advanced features are limited to paid plans, which may not be cost-effective for all users.
  • Limited Offline Functionality
    Spreadsheet.com relies heavily on an internet connection, with limited offline functionality, which can be restrictive in areas with poor connectivity.
  • Feature Overlap
    The range of features provided may overlap with other dedicated tools like databases and project management software, causing redundancy issues.

Azure Machine Learning Studio features and specs

  • User-Friendly Interface
    Azure Machine Learning Studio offers a drag-and-drop interface that makes it accessible for users without extensive coding experience, allowing for easy model creation and deployment.
  • Integration with Azure Services
    It seamlessly integrates with other Azure services, providing a comprehensive suite for data processing, storage, and deployment, enhancing its overall utility and functionality.
  • Pre-built Algorithms
    The platform includes a variety of pre-built algorithms and modules, which can significantly speed up the model development process and cater to different machine learning needs.
  • Collaborative Environment
    Azure Machine Learning Studio supports collaborative work, enabling team members to work together on projects, share resources, and manage models efficiently.
  • Scalability
    Being cloud-based, it can easily scale up with the needs of the project, accommodating growing data sizes and computational requirements without significant time or resource investment.

Possible disadvantages of Azure Machine Learning Studio

  • Limited Customization
    While it's easy to use for standard tasks, experienced data scientists may find it limiting when trying to implement highly customized solutions, as it may lack some of the flexibility found in open-source alternatives.
  • Cost
    Using Azure Machine Learning Studio, especially when scaling up, can become expensive compared to other platforms, particularly for startups or small businesses with limited budgets.
  • Performance Bottlenecks
    For large scale data processing or complex algorithms, users may encounter performance limitations, as certain operations may be slower compared to running locally optimized environments.
  • Learning Curve for Advanced Features
    While basic use is straightforward, leveraging advanced features effectively may require a considerable learning curve, particularly for those unfamiliar with Azure's ecosystem.
  • Dependency on Internet Connectivity
    As a cloud-based service, a stable internet connection is necessary for uninterrupted access and performance, which might be a limitation in scenarios with unreliable network access.

Spreadsheet.com videos

Full Overview of Spreadsheet.com

Azure Machine Learning Studio videos

Azure Machine Learning Studio

More videos:

  • Review - Introduction to Microsoft Azure Machine Learning Studio & Services

Category Popularity

0-100% (relative to Spreadsheet.com and Azure Machine Learning Studio)
Spreadsheets
100 100%
0% 0
Data Science And Machine Learning
Productivity
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

Share your experience with using Spreadsheet.com and Azure Machine Learning Studio. For example, how are they different and which one is better?
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Social recommendations and mentions

Azure Machine Learning Studio might be a bit more popular than Spreadsheet.com. We know about 2 links to it since March 2021 and only 2 links to Spreadsheet.com. 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.

Spreadsheet.com mentions (2)

  • HELP! Does Trello Suck? Want to Move Away from Monday.com
    Just looked at spreadsheet.com - it's not a google product is it? I am very much attracted to the visual/graphic charts that show forecasted revenue and things of that nature. I don't know if any other program has the ability to put those up. There's only one GB of storage per workbook however, and only 1500 line items per workbook. Source: over 2 years ago
  • Rows.com: Spreadsheets on Steroids
    3. Business processes What Rows does falls mostly into the realm of small databases and business processes. And while each has their own approach, I'd say that most other "next-gen spreadsheets" are also focusing on these (big and important) use-cases. Airtable (https://airtable.com/), Spreadsheet.com (https://spreadsheet.com/) and Smartsheet (https://smartsheet.com/) all play mainly in this area. GRID is focusing... - Source: Hacker News / over 3 years ago

Azure Machine Learning Studio mentions (2)

  • What are all possible FREE Machine Learning integrations with Power BI?
    Machine Learning studio https://studio.azureml.net/ but this will be discontinued in Dec 01,2021 :(. Source: over 3 years ago
  • Stumbling into BI as a job role and need advice
    Advanced analytics, predictive modeling: You can't go passed learning R or Python if you're that way inclined.. however, if you're a GUI monkey like me, I have had a fair amount of success using https://studio.azureml.net/ it's free at base level :). Source: almost 4 years ago

What are some alternatives?

When comparing Spreadsheet.com and Azure Machine Learning Studio, you can also consider the following products

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Magic Spreadsheet - Human workforce and AI plugged into your Google Spreadsheets

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Rows - The spreadsheet where teams work faster

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.