MATLAB vs. Sisense

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.

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I believe Sisense is perfectly suited for any organization of any size that have access to the proper resources, as the tool is very expensive. The data connectors come in all shapes and sizes out of the box, which allows a great deal of data control within the ElastiCubes. Additionally, while the platform only runs on Windows platforms, the web application can be accessed on any client: mobile, Apple, Windows, etc. This allows a much more flexible user experience, resulting in data and dashboards reaching further than any other tool.

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• It has a very user friendly library which helps users learn this software fairly quickly in a short span of time.
• The graphical user interface provided by the software is really good.
• The code that a person writes allows options for debugging.
• One can visualize the flow of control of their code inside MATLAB.

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• Customization - lots of supported and community plugins available. Users can also adjust the look and feel through JavaScript.
• Innovation - Sisense is continuing to push the envelope by developing new features through Sisense Labs.
• Customer support - the commitment to excellent customer service and ensuring organizations get the most out of their investment.

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• MatLab is pricier than most of its competitors and because of this reason, many organizations are moving towards cheaper alternatives - mostly Python.
• MatLab is inefficient when it comes to performing a large number of iterations. It gets laggy and often crashes. Python is better in this regard.
• There is a limited number of hardware options (mostly NI) that can be connected directly to the data acquisition toolbox.

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• The usability of the application on mobile devices needs some improvement, especially navigation and filtering.
• Dashboards that are created by multiple users can be a bit of a hassle to share by Admins.
• If you need to embed dashboards into your website, you are require to buy a license separate from the user and platform license. This is a norm on most BI visualization tools, but Sisense can seem a bit on the high side, cost-wide.

I think the business and myself as a user has come to rely on SiSense as a dashboarding and quick ad-hoc reporting tool. I am hoping to integrate SiSense dashboards into more parts of the business in the future. We have reduced our report turn-around time for the most part from hours/days to minutes and in some cases almost the speed of thought. Reports are also easier on the eye and more easily distributed. I would also like to say that the support and professionalism from the SiSense team has been excellent.

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.

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New V5 is ground floor of an exciting collection of possibilities. Weekly Sisense developers come up with new functionality that they share with us in their forums. The move to HTML5 has been pleasing in that widgets auto size themselves into appropriate forms in the board but everyone of them can be popped out to full page size to be looked at in more detail

There are very few situations when there is unexpected downtime. Mostly during development, new dashboard implementation and during upgrades. other then that there were very few crashes.

SiSense is usually performing better then other solutions even if going for complex reports/dashboards(of course within reasonable frames). I haven't noticed any bad influence on other systems, usually if something happens it stays within SiSense.

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.

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SiSense's support ninjas are very knowledgeable and are exceptionally responsive. So far, all of the issues we ran into were resolved within minimum time. My sense of dealing with the support staff at SiSense is that they are very focused on not just answering your immediate question, but also to delve into the cause of the matter.

Easy and free training that allowed us quickly understand basics in SiSense and start using them. More advanced features requires some browsing through SiSense forums, but there is always support to help, and SiSense support is one of the best whith which I worked so far.

Many examples, videos and scenarios which you try on your own right away. This combined with in-person training gives you enough to utilize most of SiSense's power.

Remember to migrate the plugins. The documentation however is pretty straight forward.

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.

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1) Easy to use, really, there is nothing too much to say. The set up is easy and not confusing. You can use it internally or externally.

2) Customer Service, having spoken to various product reps from similar industry. Sisense rep provides you with the best support to get started, and it is really appreciated.

Product is quite easily scalable. The whole installation can be easily moved to stronger machine if needed.

• 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.

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• Report development time is reduced from 2~3 days to 2~3 hours.
• Report querying time is improved from 0.5~10 mins to 2~30 seconds.
• A 2-staff team delivers 10 times the BI output that we did on the old system.
• We were able to deliver BI and data analysis for all business functions instead of a very limited group of users