Compare Alteryx vs. Microsoft Azure Machine Learning Studio
Alteryx is ranked 1st in Data Science Platforms with 10 reviews while Microsoft Azure Machine Learning Studio is ranked 4th in Data Science Platforms with 5 reviews. Alteryx is rated 9.4, while Microsoft Azure Machine Learning Studio is rated 7.4. The top reviewer of Alteryx writes "Speeds up the time to obtain business answers/insights on data". On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Enables quick creation of models for PoC in predictive analysis, but needs better ensemble modeling". Alteryx is most compared with KNIME, Dataiku Data Science Studio and RapidMiner, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Amazon SageMaker and Alteryx. See our Alteryx vs. Microsoft Azure Machine Learning Studio report.
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Most Helpful Review | |
 Find out what your peers are saying about Alteryx vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2019. 377,556 professionals have used our research since 2012. | |
Quotes From Members
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros | |
Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase. Alteryx speeds up the time to obtain business answers/insights on data. It is one of the most complete and great customer service that I experienced with a software company/ecosystem. The most valuable feature of this solution is data preparation. The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy. It helps clean messy data and provides spatial analysis. It saves time on a lot projects. The analytics are easy. | Visualisation, and the possibility of sharing functions are key features. It is very easy to test different kinds of machine-learning algorithms with different parameters. You choose the algorithm, drag and drop to the workspace, and plug the dataset into this component. When you import the dataset you can see the data distribution easily with graphics and statistical measures. Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most. MLS allows me to set up data experiments by running through various regression and other machine learning algorithms, with different data cleaning and treatment tools. All of this can be achieved via drag and drop, and a few clicks of the mouse. The graphical nature of the output makes it very easy to create PowerPoint reports as well. Scalability, in terms of running experiments concurrently is good. At max, I was able to run three different experiments concurrently. Its ability to publish a predictive model as a web based solution and integrate R and python codes are amazing. |
Cons | |
Even when it already includes some AI models, this area could be improved. It would be great to create the final users' visualization within Alteryx. The event handling, such that the file system watcher, is in need of improvement. I think better visualization would be helpful to this solution. It is a little bit pricey. It seems to me that it is not always user friendly. Alteryx could be improved in the area of analytics and central governance. The next feature release should include easier reporting. | Operability with R could be improved. I would like to see modules to handle Deep Learning frameworks. I personally would prefer if data could be tunneled to my model through a SAP ERP system, and have features of Excel, such as Pivot Tables, integrated. Enable creating ensemble models easier, adding more machine learning algorithms. It could use to add some more features in data transformation, time series and the text analytics section. Microsoft should also include more examples and tutorials for using this product. |
Pricing and Cost Advice | |
Opt for the three year subscription. It is 20% less than the yearly one. ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less. It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions). It can be a bit pricey, especially after the first year. The seat is too expensive. Very transparent. | To use MLS is fairly cheap. Even the paid account is something like $20/month, unless you are provisioning large numbers of VMs for a Hadoop cluster. The main MS makes money with this solution is forcing the user to deploy their model on REST API, and being charged each time the API is accessed. There are several pricing tiers for the API. If you do not use the API, then value of MLS is to create rapid experiments ($20/month). The resulting model is not exportable to use, thus you’ll have to recreate the algorithms in either R or Python, which is what I did. MLS results gave me a direction to work with, the actual work is mostly done in R and Python outside of MLS. |
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Ranking  | |
Views 27,300 Comparisons 21,460 Reviews 9 Average Words per Review 232 Avg. Rating 9.2 | Views 9,085 Comparisons 7,606 Reviews 5 Average Words per Review 353 Avg. Rating 7.4 |
Top Comparisons | |
 Compared 31% of the time.  Compared 8% of the time.  Compared 6% of the time. |  Compared 21% of the time.  Compared 11% of the time.  Compared 11% of the time. |
Also Known As | |
| Azure Machine Learning | |
Learn | |
| Alteryx | Microsoft |
Overview | |
Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers. | Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions. It has everything you need to create complete predictive analytics solutions in the cloud, from a large algorithm library, to a studio for building models, to an easy way to deploy your model as a web service. Quickly create, test, operationalize, and manage predictive models. |
Offer | |
Learn more about Alteryx | Learn more about Microsoft Azure Machine Learning Studio |
Sample Customers | |
| AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen | Information Not Available |
Top Industries | |
Healthcare Company13% Financial Services Firm13% Energy/Utilities Company13% Consumer Goods13% Software R&D Company23% Financial Services Firm15% Comms Service Provider10% Manufacturing Company10% | Software R&D Company28% Comms Service Provider19% Manufacturing Company6% Media Company5% |
Company Size | |
Small Business48% Midsize Enterprise14% Large Enterprise38% Small Business10% Midsize Enterprise10% Large Enterprise80% | No Data Available |
Find out what your peers are saying about Alteryx vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2019.
377,556 professionals have used our research since 2012.
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