Altair SLC (formerly the WPS industrial analytics platform, acquired by Altair in late 2021) is designed for data science and heavyweight data processing with the languages of SAS and R. Best known for its SAS language compiler, the software includes advanced graphical user interfaces, robust, high-performance data processing and production-ready application frameworks.
N/A
MATLAB
Score 8.8 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
Pricing
Altair SLC
MATLAB
Editions & Modules
No answers on this topic
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
Offerings
Pricing Offerings
Altair SLC
MATLAB
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Altair SLC
MATLAB
Features
Altair SLC
MATLAB
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Altair SLC
8.6
4 Ratings
6% above category average
MATLAB
-
Ratings
Customizable dashboards
8.64 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Altair SLC
8.6
4 Ratings
10% above category average
MATLAB
-
Ratings
Drill-down analysis
8.64 Ratings
00 Ratings
Formatting capabilities
8.64 Ratings
00 Ratings
Integration with R or other statistical packages
8.64 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Altair SLC
8.8
4 Ratings
7% above category average
MATLAB
-
Ratings
Publish to Web
8.64 Ratings
00 Ratings
Publish to PDF
8.64 Ratings
00 Ratings
Report Delivery Scheduling
9.34 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
WPS Analytics allowed our company's business users to keep using their existing programs while getting similar results with much less learning time. It's a great accomplishment when software for business users is changed—excellent relationships with providers and other salespeople. As a SAS user, I needed an interpreter for the SAS language, and WPS has more packages and a lower price than any other company I could find, so I decided to go with it.
MATLAB really does best for solving computational problems in math and engineering. Especially when you have to use a lot of functions in your solving process, or if you have a nonlinear equation that must be iteratively solved. [MATLAB] can also perform things like integration and derivation on your equations that you put into it.
Currently, I barely encounter challenges when using WPS Analytics although I don't use it on a daily basis. There's no functionality or feature that needs more improvement.
MATLAB is pretty easy to use. You can extend its capabilities using the programming interface. Very flexible capabilities when it comes to graphical presentation of your data (so many different kinds of options for your plotting needs). Anytime you are working with large data sets, or with matrices, MATLAB is likely to be very helpful.
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.
I use a lot of data discovery and visualization tools at workstations to help me gain deep insights into data. WPS Analytics doesn't vary much from all the DVD tools that I have listed, I always go for the best.
How MATLAB compares to its competition or similar open access tools like R (programming language) or SciLab is that it's simply more powerful and capable. It embraces a wider spectrum of possibilities for far more fields than any other environment. R, for example, is intended primarily for the area of statistical computing. SciLab, on the other hand, is a similar open access tool that falls very short in its computing capabilities. It's much slower when running larger scripts and isn't documented or supported nearly as well as MATLAB.
MATLAB helps us quickly sort through large sets of data because we keep the same script each time we run an analyzation, making it very efficient to run this whole process.
The software makes it super easy for us to create plots that we can then show to investors or clients to display our data.
We are also looking to create an app for our product, and we will not be able to do that on MATLAB, therefore creating a limiting issue and a new learning curve for a programming language.