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."I like the fact that you can easily blend data from different platforms."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price."
"There are a lot of good customization capabilities."
"I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access."
"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."
"The filtering is fast, and it provides a search tool that is great."
"The cloud deployment ensures it scales easily."
"The few projects we have done have been promising."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"They are doing a good job of evolving."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"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 tool makes our ML model development a bit more efficient because everything is in one environment."
"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."
"We were able to use the product to automate processes."
"The event handling, such that the file system watcher, is in need of improvement."
"Alteryx could be improved in the area of analytics and central governance."
"I mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica."
"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."
"It should have Linux support. It currently supports only Windows. It does not support any other platform. Its price should also be lower. Their US partner management program is actually unresponsive. One of the reasons why we don't have a formalized partnership plan with them is because their partner management team is atrociously unresponsive. This is something that they need to change."
"The data integration component could most likely be improved to increase enterprise scalability."
"Deep learning models are not currently supported."
"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required. They could have better reporting. The aesthetic could be improved."
"The product must provide better documentation."
"SageMaker would be improved with the addition of reporting services."
"In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints."
"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."
"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."
"There are other better solutions for large data, such as Databricks."
"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."
"AI is a new area and AWS needs to have an internship training program available."
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.
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