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 most valuable feature of Alteryx is the intelligence suite."
"The filtering is fast, and it provides a search tool that is great."
"The most valuable feature of Alteryx is its unlimited handling capabilities."
"The connectors are a very good feature."
"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."
"All of the data science features in terms of unioning and joining data together are valuable."
"I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users."
"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 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 product aggregates everything we need to build and deploy machine learning models in one place."
"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."
"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 most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."
"Allows you to create API endpoints."
"The deployment is very good, where you only need to press a few buttons."
"Its most valuable feature lies in its functionality."
"The learning curve is long, and there is lack of e-learning; the tool is not user-friendly to a non-technical user."
"From a commercial standpoint, more options should be available for pricing. The licensing model needs to be specific."
"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."
"The data integration component could most likely be improved to increase enterprise scalability."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"The GUI interface functions but it could stand to be updated to a more modern look and feel."
"AI is a new area and AWS needs to have an internship training program available."
"There are other better solutions for large data, such as Databricks."
"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."
"The solution needs to be cheaper since it now charges per document for extraction."
"The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful."
"The solution is complex to use."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"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."
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, Databricks, Dataiku, RapidMiner and Microsoft Power BI, 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.
See our list of best Data Science Platforms vendors.
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.
