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 modeling features are very good."
"Alteryx is so advanced. It's just drag and drop."
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."
"The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features."
"I like the fact that you can easily blend data from different platforms."
"I like that I can merge data from different sources into one place."
"It is a stable and scalable solution."
"The tool makes our ML model development a bit more efficient because everything is in one environment."
"We were able to use the product to automate processes."
"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"The product aggregates everything we need to build and deploy machine learning models in one place."
"Allows you to create API endpoints."
"The few projects we have done have been promising."
"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."
"The principal problem is the pricing. They're expensive products."
"When a process completes there is a notification, but the notification does not include the process's name."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts."
"The event handling, such that the file system watcher, is in need of improvement."
"We are hoping that the NLP features will also support Chinese characters."
"The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."
"It seems to me that it is not always user friendly."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"The product must provide better documentation."
"There are other better solutions for large data, such as Databricks."
"The solution is complex to use."
"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."
"Lacking in some machine learning pipelines."
"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."
"SageMaker would be improved with the addition of reporting services."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Amazon SageMaker is ranked 5th in Data Science Platforms with 18 reviews. Alteryx is rated 8.4, while Amazon SageMaker is rated 7.2. 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, Databricks, Dataiku Data Science Studio, RapidMiner and Qlik Sense, whereas Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Microsoft Azure Machine Learning Studio. See our Alteryx vs. Amazon SageMaker report.
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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
