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
Microsoft R Open / Revolution R Enterprise
Score 8.9 out of 10
N/A
Microsoft R Open and Revolution R Enterprise are big data R distribution for servers, Hadoop clusters, and data warehouses. Microsoft acquired original developer Revolution Analytics in 2016.
Microsoft R is available in two editions: Microsoft R Open (formerly Revolution R Open) and Revolution R Enterprise.
N/A
Pricing
MATLAB
Microsoft R Open / Revolution R Enterprise
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
MATLAB
Microsoft R Open / Revolution R Enterprise
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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More Pricing Information
Community Pulse
MATLAB
Microsoft R Open / Revolution R Enterprise
Features
MATLAB
Microsoft R Open / Revolution R Enterprise
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
MATLAB
-
Ratings
Microsoft R Open / Revolution R Enterprise
5.3
Ratings
45% below category average
Connect to Multiple Data Sources
00 Ratings
6.10 Ratings
Extend Existing Data Sources
00 Ratings
6.00 Ratings
Automatic Data Format Detection
00 Ratings
6.00 Ratings
MDM Integration
00 Ratings
3.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
MATLAB
-
Ratings
Microsoft R Open / Revolution R Enterprise
7.0
Ratings
18% below category average
Visualization
00 Ratings
7.00 Ratings
Interactive Data Analysis
00 Ratings
7.00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
MATLAB
-
Ratings
Microsoft R Open / Revolution R Enterprise
4.8
Ratings
52% below category average
Interactive Data Cleaning and Enrichment
00 Ratings
5.10 Ratings
Data Transformations
00 Ratings
5.00 Ratings
Data Encryption
00 Ratings
3.00 Ratings
Built-in Processors
00 Ratings
6.00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
MATLAB
-
Ratings
Microsoft R Open / Revolution R Enterprise
6.0
Ratings
33% below category average
Multiple Model Development Languages and Tools
00 Ratings
5.00 Ratings
Automated Machine Learning
00 Ratings
5.00 Ratings
Single platform for multiple model development
00 Ratings
8.00 Ratings
Self-Service Model Delivery
00 Ratings
6.00 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!
Revolution Analytics is a very compelling product for Big Data Analytics. It allows distributed computing over multiple hadoop nodes thus allowing HDFS to do its role cleanly i.e. cheap massive storage and it does good job of running algorithms using R or similar programming language on Hadoop. It would be definitely advantage for the organization who uses either R or SAS as their statistical model development tool as Rev-R support both the platforms. Overall, very positive experience with Rev-R.
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.
In general, Revolution Analytics brings a lot of value to the organization. The renewal decision would be based on return on investment in terms of quantified actionable insights that are getting generated against the cost of the product. Additionally, market brand of the tool and reputation risk in terms of possible acquisition and its impact to overall organizational analytic strategy would be considered as well.
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.
It is good, easy to use, improvements are being made to the product and more info being shared in the community. It just needs some more time to become more integrated to other platforms and tools/data out there.
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.
Generally support comes through the forums and user generated channels which are helpful, easy to access, quickly turned around and provided by knowledgeable users. However the support channels are not employees and the channels are often used as a way to learn quick difficult elements of R. Better design, users interface and tutorial options would alleviate the need for this sort of interaction.
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.
R is decent for our needs but in the end didn't quite solve all of our needs so moved on. It is a good tool so far. its been a couple months since we last touched it so with changes continuing and more wide spread use and more info being published this tool will improve. Depending upon your needs this can be very easy for you to setup, use, and maintain when compared to other tools out there. My suggestion is to ensure you fully understand your use cases first with data sources identified to ensure this tool can meet your needs.