MATLAB vs. NVIDIA RAPIDS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MATLAB
Score 8.9 out of 10
N/A
MatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.
$49
per student license
NVIDIA RAPIDS
Score 9.1 out of 10
N/A
NVIDIA RAPIDS is an open source software library for data science and analytics performed across GPUs. Users can run data science workflows with high-speed GPU compute and parallelize data loading, data manipulation, and machine learning for 50X faster end-to-end data science pipelines.N/A
Pricing
MATLABNVIDIA RAPIDS
Editions & Modules
Student
$49
per student license
Home
$149
perpetual license
Education
$250
per year
Education
$500
perpetual license
Standard
$860
per year
Standard
2,150
perpetual license
No answers on this topic
Offerings
Pricing Offerings
MATLABNVIDIA RAPIDS
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
MATLABNVIDIA RAPIDS
Features
MATLABNVIDIA RAPIDS
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
MATLAB
-
Ratings
NVIDIA RAPIDS
9.1
Ratings
8% above category average
Connect to Multiple Data Sources00 Ratings9.60 Ratings
Extend Existing Data Sources00 Ratings8.80 Ratings
Automatic Data Format Detection00 Ratings9.00 Ratings
MDM Integration00 Ratings9.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
MATLAB
-
Ratings
NVIDIA RAPIDS
9.4
Ratings
12% above category average
Visualization00 Ratings9.40 Ratings
Interactive Data Analysis00 Ratings9.40 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
MATLAB
-
Ratings
NVIDIA RAPIDS
8.9
Ratings
9% above category average
Interactive Data Cleaning and Enrichment00 Ratings7.80 Ratings
Data Transformations00 Ratings9.40 Ratings
Data Encryption00 Ratings9.00 Ratings
Built-in Processors00 Ratings9.40 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
MATLAB
-
Ratings
NVIDIA RAPIDS
9.2
Ratings
9% above category average
Multiple Model Development Languages and Tools00 Ratings9.00 Ratings
Automated Machine Learning00 Ratings9.40 Ratings
Single platform for multiple model development00 Ratings9.40 Ratings
Self-Service Model Delivery00 Ratings9.00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
MATLAB
-
Ratings
NVIDIA RAPIDS
9.2
Ratings
8% above category average
Flexible Model Publishing Options00 Ratings9.40 Ratings
Security, Governance, and Cost Controls00 Ratings9.00 Ratings
Best Alternatives
MATLABNVIDIA RAPIDS
Small Businesses
IBM SPSS Statistics
IBM SPSS Statistics
Score 7.8 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Medium-sized Companies
Alteryx Platform
Alteryx Platform
Score 8.9 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Dataiku
Dataiku
Score 7.6 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MATLABNVIDIA RAPIDS
Likelihood to Recommend
8.1
(0 ratings)
10.0
(0 ratings)
Usability
9.9
(0 ratings)
-
(0 ratings)
Support Rating
9.5
(0 ratings)
-
(0 ratings)
User Testimonials
MATLABNVIDIA RAPIDS
Likelihood to Recommend
Engineering, mathematical modeling, and machine learning are all fields where MATLAB will shine. It's fast, reliable, and relatively easy to use. MATLAB is the de facto standard when it comes to producing high-quality plots. If you need to deal with large data sets, and not take forever processing them, MATLAB may very well be the tool for you!
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NVIDIA RAPIDS is great for integrated and planned machine learning and deep learning journey. It is excellent if you have big data with defined processes to be improved and monitored. It is less effective if the project is continuously changed and the data are to be prepared and cleaned a lot and [in] many different ways.
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Pros
  • Has robust and easy-to-use debugging tools that can help one identify problems in one's codes.
  • Rich, well-developed and efficient library of mathematical and statistical functions that one might need to develop models or perform statistical analysis.
  • A very active online user community that is a great resource in terms of seeking help when you hit a snag.
  • Great help literature (and sometimes videos too) on all tools making it possible for all to train themselves.
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  • Visualization
  • Deep learning pipeline
  • State of the art libraries
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Cons
  • MATLAB should have a full free version (without time limit) in order to be more accessible and thus have a greater user community.
  • The idea of having toolboxes to work directly with hardware (microcontrollers, single-board computers) is great, but one can tell it isn't updated very frequently and there isn't as much documentation available as with more common resources.
  • Our organization had a lot of trouble getting our network licenses to work properly and there wasn't any local service provider that could help us get it to work faster.
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  • Its not flexible and cost effective for all sizes of organizations.
  • I appreciate it has hassle-free integration.
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Usability
The best thing about MATLAB is the variety of research and development fields it supports. The reason for this rating is that it is best used for medical images enhancement and signal processing, it is also used for speech to text conversion. This tool server is best when the demand is for machine learning.
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No answers on this topic
Support Rating
The built-in search engine is not as performing as I wish it would be. However, the YouTube channel has a vast library of informative video that can help understanding the software. Also, many other software have a nice bridge into MATLAB, which makes it very versatile. Overall, the support for MATLAB is good.
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No answers on this topic
Alternatives Considered
The commands and coding language of MATLAB reads a lot more in plain English as opposed to all the periods and other special characters that are needed when typing in Python or Java. Additionally MATLAB has several different function packages that can solve all different categories of problems so you don't have to make a bunch of different code scrips from scratch.
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RAPIDS GPU accelerates machine learning to make the entire data science and analytics workflows run faster, also helps build databases and machine learning applications effectively. It also allows faster model deployment and iterations to increase machine learning model accuracy. The great value of money.
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Return on Investment
  • MATLAB has made me a better coder. I can see the code behind inbuilt functions which helps me improve my own coding.
  • The various features offered in the software helped me to understand new topics in a relatively short span of time.
  • MATLAB has a rich forum and library which allows exchange of ideas and info with other users. This has certainly broadened my horizon.
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  • Hassle free integration.
  • Top model accuracy.
  • Reduce training time.
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