We performed a comparison between Alteryx and Amazon SageMaker based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The three data signs and data engineering are great features."
"The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts."
"Alteryx speeds up the time to obtain business answers/insights on data."
"The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"Good data transformation."
"The solution has been stable."
"The deployment is very good, where you only need to press a few buttons."
"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."
"The few projects we have done have been promising."
"We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for these models, making accessing them convenient as needed."
"Allows you to create API endpoints."
"We are hoping that the NLP features will also support Chinese characters."
"Alteryx could be improved in the area of analytics and central governance."
"The price of the solution could improve by being lower."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"The event handling, such that the file system watcher, is in need of improvement."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"The principal problem is the pricing. They're expensive products."
"I think better visualization would be helpful to this solution."
"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."
"The documentation must be made clearer and more user-friendly."
"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."
"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."
"AI is a new area and AWS needs to have an internship training program available."
"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."
"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."
"The solution requires a lot of data to train the model."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews. Alteryx is rated 8.4, while Amazon SageMaker is rated 7.4. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". Alteryx is most compared with KNIME, Dataiku, Databricks, RapidMiner and Tableau, whereas Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Dataiku. See our Alteryx vs. Amazon SageMaker report.
See our list of best Data Science Platforms vendors.
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