MathWorks Matlab vs TIBCO Data Science comparison

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991 views|755 comparisons
100% willing to recommend
TIBCO Logo
458 views|365 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between MathWorks Matlab and TIBCO Data Science based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed MathWorks Matlab vs. TIBCO Data Science Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
Neha Wanjari
Veeresh-SHRINGARI
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Personally for me, because I do a lot of development, I like that it is easy to test mathematical algorithms with several matrix calculations. It's perfect for that.""The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see the flow and interactions of the system, which is extremely beneficial for software development. With this visual representation, you can better understand the system's behavior, make necessary adjustments, and ensure maintenance and updates. This capability is why I love working with the product."

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"The idea that you don't have to generate reports each day but they are sent automatically is great.""We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost.""The most valuable feature is the performance.""The most valuable feature is the ease of setting up visualizations."

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Cons
"In the area of improvement, sometimes there are issues with the speed of MathWorks Matlab, particularly in the Simulink environment. The tool's latest versions can be slow to open, taking significant time to load. Additionally, saving data and integrating models can also be time-consuming processes.""To make use of the GPU, you have to have an Nvidia card. What I would want it to do is to run in Next Generation with Intel or AMD, and not just with Nvidia."

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"Additional templates would help to get things moving more quickly in terms of getting the reports out.""The scripting for customization could be improved.""I would like the visualization for the map of countries to be more easily configurable.""In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."

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Pricing and Cost Advice
  • "We have a single user license. Support and add-ons are an extra fee."
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    Questions from the Community
    Top Answer:The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see… more »
    Top Answer:In the area of improvement, sometimes there are issues with the speed of MathWorks Matlab, particularly in the Simulink environment. The tool's latest versions can be slow to open, taking significant… more »
    Top Answer:I use the tool for model-based development projects, particularly in the automotive sector. These projects involve automation and testing using scripts. Additionally, I have utilized it for auto-code… more »
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    Ranking
    15th
    Views
    991
    Comparisons
    755
    Reviews
    1
    Average Words per Review
    614
    Rating
    9.0
    25th
    Views
    458
    Comparisons
    365
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Alpine Data Chorus
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    Overview

    TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

    Sample Customers
    Information Not Available
    Havas Media, Tipping Point Community, eviCore
    Top Industries
    VISITORS READING REVIEWS
    Educational Organization13%
    Computer Software Company11%
    University11%
    Manufacturing Company10%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Manufacturing Company17%
    Computer Software Company17%
    Pharma/Biotech Company11%
    Company Size
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise11%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    MathWorks Matlab vs. TIBCO Data Science
    May 2024
    Find out what your peers are saying about MathWorks Matlab vs. TIBCO Data Science and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    MathWorks Matlab is ranked 15th in Data Science Platforms with 2 reviews while TIBCO Data Science is ranked 25th in Data Science Platforms. MathWorks Matlab is rated 8.6, while TIBCO Data Science is rated 7.6. The top reviewer of MathWorks Matlab writes "Has Simulink feature which helps with visual representations ". On the other hand, the top reviewer of TIBCO Data Science writes "A straightforward initial setup and good reporting but needs better documentation". MathWorks Matlab is most compared with Databricks, IBM SPSS Statistics, Anaconda and Microsoft Azure Machine Learning Studio, whereas TIBCO Data Science is most compared with TIBCO Statistica, Amazon SageMaker and Dataiku. See our MathWorks Matlab vs. TIBCO Data Science report.

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    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.