The Alteryx AI Platform gives organization automated data preparation, AI-powered analytics, and machine learning with embedded governance and security. Its self-service functionality, with self-service data prep, machine learning, and AI-generated insights, gives enterprise teams with a simplified user experience allowing everyone to create analytic solutions that improve productivity, efficiency, and the bottom line. Alteryx Designer can be used to automate every analytics step…
$4,950
per year per user (minimum of 3 users)
MATLAB
Score 8.9 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
Alteryx Platform
MATLAB
Editions & Modules
Designer Desktop
starting at $5,195
per year per user
Designer Cloud Professional Edition
Starting at $4,950
per year per user (minimum of 3 users)
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
Alteryx Platform
MATLAB
Free Trial
Yes
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
Alteryx Platform
MATLAB
Considered Both Products
Alteryx Platform
Verified User
Anonymous
Chose Alteryx Platform
I prefer Alteryx Platform to all the above products. In my opinion, the Microsoft products (Excel, Power BI) are inferior, cheaper alternatives to Alteryx Platform.
I think Alteryx Platform offers a much more user friendly and can be owned by the business user much easier than SAS data insights tool can. Both are powerful but the end-user experience is much easier and intuitive with Alteryx compared to SAS from my perspective.
Fivetran is a basic on its own, but it is very cloud based solution and useful for large teams handling large data sets, hence wasn’t useful for our case. That is why we picked Alteryx which provides easy to use and understand interface for low knowledge, people.
I used ACL before so all my scripts were written in SQL and it was not low code at all. After me and my team started using Alteryx, we moved all the scripts to workflows in Alteryx, it took some time, but works way better than ACL, it is faster and easier to maintain it any …
Alteryx is by far the most powerful tool to carry out complex and customized calculations with ease and highly reproducible while the other tools often face memory issues and 10x more time to carry ou similar calculations
Alteryx is more efficient than competitors we've tested and used. Alteryx Designer can handle data wrangling and analysis that we once needed to do in multiple software.
I still use SQL, Python, and Excel when I have to - but alteryx has largely replaced all three of these. Every operation I need to do in any of these I can do in alteryx and see what I'm doing each step of the way - so problem solving is also easier.
IMHO KNIME is not user friendly as much as Alteryx. Learning curve is long. Regardless is Open Source, the GUI is awful. To do same job in Alteryx you need to add many components and the configuration is very complex. Although the application is free, the server side is not. I …
Digital Transformation & Innovation Lead, Middle East Africa (MEA), Turkey & Central Asia
Chose Alteryx Platform
IBM is old school, deployment capabilites and automation capabilities lack compared to many market players... Also opensource integrations were limited. Alteryx is good on both deployment and opensource integrations. New versions, IBM WatsonX, is expected to be better the but …
Microsoft Access is still in place, but will be subsitute by Alteryx, because connection to cloudbased data works, more automazitaion is possible. Easier to use.
We asked our external auditors for suggestions on how to make our processes better and they scheduled a meeting with us and presented Alteryx and then showed us a little bit about PowerBI but it was on their suggestion and their being able to show us at that presentation some …
Alteryx beats Tableau fair and square. Tableau is good for vizzy but nothing is comparable to Alteryx's data analysis and big data power. KNIME as well is nothing compared to the R&D Alteryx has. Alteryx having a cost compared to KNIME is a factor but the ROI is definitely …
Alteryx stacks up against its competitors in the marketplace because from day one its goal was to simplify and democratize data processes. Its visual nature and transparent tool set, combined with its highly addictive joy to use make it stand out from the crowd.
Alteryx is MUCH more user friendly. both provide the ability to code within them, but Alteryx has much nicer interface. The formula tools have a more simple language that is easier to learn than formulae in SSIS. Alteryx is easy to read with multi colored tools identifying what …
Alteryx low-code/no-code workflow development, and the ability to view my data at every step, immediately improved my development time by at least 60%. Highbond (formerly Galvanize / ACL) relies on a proprietary ACL script coding language, which can be time-consuming to …
Knime is open source and free. It also positions itself a little on machine learning. But the user experience and the features available are far less powerful than Alteryx. I was a former user of Lavastorm (ancestor of Infogix Data360) and got acquainted with the low-code …
Previous to Alteryx aquiring Trifacta, we looked at it as a possible compliment/replacement. WIth the aquistion, we are looking to the roadmap on full integration and are very excited. Trifacta brings a cloud native solution but currently lacks many of the features/functions …
Those are expensive than MATLAB and their GUI is not great along with editor. However, they have more libraries set as compared to Matlab. However, the place where MATLAB adds value is its user community as well as its support and we can find solutions to any problem with …
Apart from Matlab, I used Matematica for some of my integral evaluations. Mathematica is also a "clean" and easy-to-use software that solves symbolic math problems (even better than Matlab for symbolic math). I also used Anaconda and Spyder for my career so far.
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 …
MATLAB's neurophysiological data pre-processing third-party packages are more scientifically validated compared to support for other software platforms. It also allows for writing code with a greater level of functionality and more capabilities than R-Studio, which is instead …
It seems MATLAB has built-in functionality that is sometimes missing in Spotfire and can only be enabled in Spotfire with additional programming language like Iron Python.
MATLAB provides a variety of options for development. The other tools or I can say simulators do not provide major functionalities as provided by MATLAB as it is used in many fields. This is one tool which is used for research and development purpose. It gains popularity with …
GNU Octave is a widely used alternative to MATLAB which is free. I use MATLAB because I've been using it since I learned how to use it in my undergraduate. Furthermore, paid applications offer more support and oftentimes, more updates than open source software.
While not as fully featured as other software suites. MATLAB benefits from a short learning curve while still allowing teams to build robust algorithms in short amounts of time.
I have not used any other products like MATLAB. I have used this software for almost ten years now and it hasnt let me down. I want to learn new open source coding platforms but for now MATLAB serves all my needs and purposes.
For complex calculations, go with MATLAB; I can't even think of how it could be done in Tableau. But if one is not familiar with scripting and only wants to visualize data with minimal wrangling, Tableau will work just fine and comes back with graphics comparable or even better …
MatLab is better than Phython in terms of robustness of its tools, help library, online community, library of tools, ease of programming (simpler and more intuitive syntax), ease of installation and after sale service. These are really significant advantages and they are the …
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 …
MATLAB is easier to use than a program like LabVIEW. What LabVIEW lacks in simplicity, however; it makes up for in functionality. There are many programs that can do a lot more than MATLAB can. That being said, if you are looking for the easiest and most convenient way to …
Every product has its own advantages and disadvantages. MATLAB is one which can be understood easily and fast and so that would be a reason to select it.
Pycharm is a python coding platform, however, it is not very user-friendly. You need to know the syntax, characters, and other libraries to use it appropriately. I had difficulty understand these problems with Pycharm whereas MATLAB is very easy to use as a calculator machine. …
MATLAB has a very large database of embedded functions and it is continually growing. Graphics processing is much easier than other similar product for beginners (such as Jupyter notebook and Python). Although it is not an open-source language, lots of learning materials and …
MATLAB is extremely more user friendly than Python. Especially for engineers and scientists. With Python you need to have additional packages to do scientific computing.
We're trying right now to get more people using it at our company so we can send management documented cases for how we can expand and purchase Alteryx Server which will extend the capabilities even more and across more departments. It's been well suited for pretty much everything we do on a repeating schedule. It's worth the time to set up the workflows. When Treasury sends me the bank download now - I save it to a folder and run our workflows and send back 2 journal entries in .9 seconds. (yes - in less than a second it's finished running)
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!
Pulling data from multiple disparate data sources.
Allows users to see the data at every step of the workflow to be able to cleanse, analyze, and optimize the data.
Provides an analytics platform that is easy for users of all levels to thrive in whether they are just starting out in their analytics journey or they have a master's degree in Data Science.
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.
Steeper Learning Curve: Alteryx can have a steep learning curve for users who are new to the platform or have limited experience with data analytics. Enhancements to the user interface and user onboarding resources could help make the learning process more intuitive and accessible to a wider range of users.
Enhanced Data Visualization Capabilities: Alteryx offers basic data visualization capabilities, but there is room for improvement in terms of advanced visualizations and interactive dashboarding features. Adding more sophisticated chart types, interactive widgets, and customization options would enhance the data visualization capabilities within the platform.
Improved Error Handling and Debugging: Alteryx provides error handling mechanisms, but enhancing the error reporting and debugging capabilities would be beneficial. Improved error messages, better visibility into data flow, and debugging tools could help users troubleshoot and resolve issues more efficiently.
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.
We've developed a working partnership with Alteryx. As an enablement suite, we're continuing to innovate and deliver great products with use of Alteryx in our solutions. Alteryx use expands to our global product development teams and is in use in multiple parts of our organization. Alteryx also delivers Experian demographic content to other clients in their product offering. We're highly likely to renew, but that decision is way above my pay grade.
I've found that while some things might take a little longer to create, the flexibility of Alteryx allows you to perform any function needed. I haven't found a use that was not available in Alteryx yet. APIs and XMLs can be created to perform certain functions. In addition, CMD line commands can be sent using Alteryx to perform certain functions 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.
I use many programs and compared to others, Alteryx virtually never goes down, freezes up or gives an application error. Over a 4 year time period that I have used this program, any of these may have happened 3 times. It is an incredibly stable program that I feel completely confident in.
Alteryx is an extremely reliable platform. If there is an error in my workflow, I feel pretty strongly it was probably my fault. The platform also handles large amounts of data very quickly and can join/match, sort, filter, calculate on that data quickly as well. One of my favorite things to build into a workflow are the messages based on data/metadata and error messages based on errors I have come across before.
Stellar, bar-none. Some of the best support folks of any vendor. The Alteryx Community is the most responsive and supportive. On the rare occasion of a release issue or bug, we've been able to get quick help to solve the core problem. Alteryx does not play the blame game. They genuinely help the users solve their issues or respond to questions
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.
1st level of trainings which I've attended in Paris was easy and I was already knowing %90, that learning could have been an e-learning instead of in-person
Very good, detailed online trainings which you can take at your own pace, and strong certifications exists, certifications are extremely detailed and hard...
There is really not much to it (the installation, that is). Once you get it installed, along with any of the add-ons (demographics, R, etc.), you are up and running almost immediately. There is really no additional setup. You can immediately begin blending data, running demographics, performing spatial queries, running predictive analysis, etc. And for many of these functions, the learning curve is quite easy.
I used ACL before so all my scripts were written in SQL and it was not low code at all. After me and my team started using Alteryx, we moved all the scripts to workflows in Alteryx, it took some time, but works way better than ACL, it is faster and easier to maintain it any changes have to be done.
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.
Individual analysts can quickly generate results using their own copy of Alteryx Designer. But using the Server and developing macros for more complex needs can be time consuming.
Error handling - allows controls to be built into workflows easily and allows them to be isolated and spat into control reports that can be easily reviewed and audited, thanks to the ability to create multiple outputs in one go.
Time-saving - saved huge amounts of time, especially when moving Excel processes into Alteryx.
Product development - allowed my firm to create products that we have been able to market and sell to clients.