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
Mode
Score 9.0 out of 10
N/A
Mode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And, business stakeholder can access relevant data to answer their own questions which can often detract more impactful work.
N/A
Pricing
MATLAB
Mode Analytics
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
Mode
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
—
More Pricing Information
Community Pulse
MATLAB
Mode Analytics
Features
MATLAB
Mode Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
MATLAB
-
Ratings
Mode Analytics
8.5
9 Ratings
4% above category average
Pixel Perfect reports
00 Ratings
9.34 Ratings
Customizable dashboards
00 Ratings
8.49 Ratings
Report Formatting Templates
00 Ratings
7.86 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
MATLAB
-
Ratings
Mode Analytics
7.4
9 Ratings
8% below category average
Drill-down analysis
00 Ratings
7.18 Ratings
Formatting capabilities
00 Ratings
6.79 Ratings
Integration with R or other statistical packages
00 Ratings
7.39 Ratings
Report sharing and collaboration
00 Ratings
8.78 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
MATLAB
-
Ratings
Mode Analytics
7.9
8 Ratings
4% below category average
Publish to Web
00 Ratings
8.15 Ratings
Publish to PDF
00 Ratings
5.88 Ratings
Report Versioning
00 Ratings
7.74 Ratings
Report Delivery Scheduling
00 Ratings
9.68 Ratings
Delivery to Remote Servers
00 Ratings
8.34 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
Mode is a clear category winner for how it easy it is to go from interactive analysis to professional quality reporting. You can easily do all your SQL and quite a bit of R/Python. If you want to quickly go from your database to simple charts, this is your pick. If you need to do heavier data modeling, scheduling jobs, or ML, you'll need something else, like Databricks. In my opinion, the quality of visualizations and some developer/analyst features make Databricks an unacceptable substitute.
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.
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.