We performed a comparison between Amazon SageMaker and KNIME 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 few projects we have done have been promising."
"The tool makes our ML model development a bit more efficient because everything is in one environment."
"They are doing a good job of evolving."
"We were able to use the product to automate processes."
"The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."
"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."
"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."
"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."
"This open-source product can compete with category leaders in ELT software."
"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."
"This solution is easy to use and especially good at data preparation and wrapping."
"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"It has allowed us to easily implement advanced analytics into various processes."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."
"SageMaker would be improved with the addition of reporting services."
"The solution needs to be cheaper since it now charges per document for extraction."
"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."
"There are other better solutions for large data, such as Databricks."
"Lacking in some machine learning pipelines."
"The product must provide better documentation."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."
"From the point of view of the interface, they can do a little bit better."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning."
"I would prefer to have more connectivity."
"KNIME's documentation is not strong."
Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews while KNIME is ranked 4th in Data Science Platforms with 50 reviews. Amazon SageMaker is rated 7.4, while KNIME is rated 8.2. The top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". On the other hand, the top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Amazon Comprehend, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and SAS Analytics. See our Amazon SageMaker vs. KNIME report.
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