MathWorks Matlab vs TIBCO Statistica comparison

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MathWorks Logo
1,016 views|785 comparisons
100% willing to recommend
TIBCO Logo
651 views|481 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
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Featured Review
Neha Wanjari
Anonymous User
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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"One of the best features of TIBCO Statistica is its block-based solution building."

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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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"TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis."

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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 »
    Top Answer:One of the best features of TIBCO Statistica is its block-based solution building.
    Top Answer:TIBCO Statistica offers a basic desktop certificate at a reasonable cost. However, the more advanced options, like network licenses for concurrent users, can become quite expensive. This creates a… more »
    Top Answer:TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis. I also find the user… more »
    Ranking
    14th
    Views
    1,016
    Comparisons
    785
    Reviews
    1
    Average Words per Review
    614
    Rating
    9.0
    17th
    Views
    651
    Comparisons
    481
    Reviews
    1
    Average Words per Review
    284
    Rating
    8.0
    Comparisons
    Also Known As
    Quest Statistica, Dell Statistica
    Learn More
    Overview

    TIBCO Statistica is a flexible analytics system, which allows users to: create analytic workflows that are packaged and published to business users, explore interactively and visualize problems and create and deploy statistical, predictive, data mining, machine learning, forecasting, optimization, and text analytic models. TIBCO Statistica advanced analytics and data science platform helps you to Embed Analytics Everywhere. TIBCO Statistica capabilities: Predictive Analytics, Provide broad access and data preparation everywhere, including for databases, cloud, and Apache Hadoop sources. Native Distributed Analytical Architecture (NDAA), Real-time Big-data Answers, Security and governance and Statistica works with R, Python, Scala scripts in-database or at the edge.
    Sample Customers
    Information Not Available
    Danske Bank
    Top Industries
    VISITORS READING REVIEWS
    University12%
    Educational Organization12%
    Computer Software Company11%
    Financial Services Firm10%
    VISITORS READING REVIEWS
    University17%
    Educational Organization17%
    Comms Service Provider7%
    Hospitality Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise11%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise16%
    Large Enterprise65%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    769,334 professionals have used our research since 2012.

    MathWorks Matlab is ranked 14th in Data Science Platforms with 2 reviews while TIBCO Statistica is ranked 17th in Data Science Platforms with 1 review. MathWorks Matlab is rated 8.6, while TIBCO Statistica is rated 8.0. The top reviewer of MathWorks Matlab writes "Has Simulink feature which helps with visual representations ". On the other hand, the top reviewer of TIBCO Statistica writes "Provides versatility in analysis and problem-solving". MathWorks Matlab is most compared with IBM SPSS Statistics, Databricks, Anaconda, Microsoft Azure Machine Learning Studio and TIBCO Data Science, whereas TIBCO Statistica is most compared with IBM SPSS Statistics, TIBCO Data Science and SAS Predictive Analytics.

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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.