It is a super friendly and very easy to use software that saves many hours of learning about how to use professional 3D rendering and design programs. There's a lot of information about it because it's from Google and it has excellent technical support. It is excellent to …
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.
SketchUp is great for individually studying options for building design. It is an awesome conceptual tool to be able to quickly model and manipulate a building to study different designs. It is not good for complex geometries, especially curves. Surfaces have a hard time registering and cutting into one another. It also eventually needs to go into Revit to be more realistic as it is not good as a documentation tool
Quickly exploring solutions in 3D: We get a lot of "what if" and "what would that look like" questions. While hand-sketching and hand-drafting can be fairly quick, SketchUp allows me to quickly create 3D and 2D views of a detail or solution, change dimensions and materials in a flash, and show a client or installer the plan in minutes.
Creating professional design documents in LayOut: Projects of any scale need good documentation. Using a combination of SketchUp and LayOut, I can create a Design Intent Set, plans for permitting, a set for mechanical trades to mark-up, etc. Having clear, appropriately-scaled drawings with dimensions or notations is a must, and we don't always have the time or budget to get an architect involved!
Using live files to guide discussions: Not all clients are "visual" people, so opening their model and orbiting around their space in real time has been extremely helpful. Clients and trades enjoy the perspective views so much that we often include them in the full-sized drawing sets to give a good "overall" view of the project intent. For complex or tight spaces, sometimes un-rendered plans and elevations just aren't enough!
We typically wait a few years in between renewing, as even older versions are powerful tools for modeling, and we make sure the amount of feature changes are worth the re-investment.
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.
It is very user friendly and easy to learn. It's simplicity allows for a low learning curve so more people can learn it faster. The downside is that most schools are no longer teaching it, so many younger professionals come out of school not knowing it and knowing more complex software and they have a hard time "dumbing down" their skillsets
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.
Sketchup is so intuitive; I can't recall ever looking for official support. However, there are many user forums online that can answer more questions. The usefulness of the online forums is, however, tempered by the fact that there have been many versions of the software under different ownership and support regimes, and thus finding the right information for the right version of the software can be a challenge.
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.
We have not evaluated any other competing software to this one. I heard about this software from a friend who teaches how to use it. She showed me in just a few minutes and I was HOOKED. I saw immediately the possible help it would be to my business. Thank you.
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.
