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.
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Pricing
MATLAB
NVIDIA 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
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Pricing Offerings
MATLAB
NVIDIA RAPIDS
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Community Pulse
MATLAB
NVIDIA RAPIDS
Features
MATLAB
NVIDIA 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 Sources
00 Ratings
9.60 Ratings
Extend Existing Data Sources
00 Ratings
8.80 Ratings
Automatic Data Format Detection
00 Ratings
9.00 Ratings
MDM Integration
00 Ratings
9.00 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
Visualization
00 Ratings
9.40 Ratings
Interactive Data Analysis
00 Ratings
9.40 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 Enrichment
00 Ratings
7.80 Ratings
Data Transformations
00 Ratings
9.40 Ratings
Data Encryption
00 Ratings
9.00 Ratings
Built-in Processors
00 Ratings
9.40 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 Tools
00 Ratings
9.00 Ratings
Automated Machine Learning
00 Ratings
9.40 Ratings
Single platform for multiple model development
00 Ratings
9.40 Ratings
Self-Service Model Delivery
00 Ratings
9.00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
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!
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.
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.
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.
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.
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.
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.
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.