Compare Amazon SageMaker vs. KNIME
Amazon SageMaker is ranked 12th in Data Science Platforms with 1 review while KNIME is ranked 2nd in Data Science Platforms with 10 reviews. Amazon SageMaker is rated 6.0, while KNIME is rated 8.4. The top reviewer of Amazon SageMaker writes "The Random Cut Forest Algorithm is helpful, but the IDE is immature and needs enhancing". On the other hand, the top reviewer of KNIME writes "Our average record size was around 10 million records. If we have bigger data, we can opt for a Big Data extension for Hadoop, Spark, etc". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio and Cloudera Data Science Workbench, whereas KNIME is most compared with Alteryx, RapidMiner and Weka.
Most Helpful Review | |
 Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: October 2019. 378,570 professionals have used our research since 2012. | |
Quotes From Members
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros | |
The few projects we have done have been promising. | This solution is easy to use and especially good at data preparation and wrapping. It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop. 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. Clear view of the data at every step of ETL process enables changing the flow as needed. We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders. The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine. Easy to connect with every database: We use queries from SQL, Redshift, Oracle. We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics. |
Cons | |
I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time. | It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end. 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. The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R). The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily. The data visualization part is the area most in need of improvement. The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best. Data visualization needs improvement. 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. |
Pricing and Cost Advice | |
Information Not Available | KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required. |
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Ranking  | |
Views 4,634 Comparisons 4,322 Reviews 1 Average Words per Review 163 Avg. Rating 6.0 | Views 21,168 Comparisons 16,525 Reviews 10 Average Words per Review 333 Avg. Rating 8.4 |
Top Comparisons | |
 Compared 27% of the time.  Compared 14% of the time.  Compared 8% of the time. |  Compared 41% of the time.  Compared 14% of the time.  Compared 7% of the time. |
Also Known As | |
| AWS SageMaker, SageMaker | KNIME Analytics Platform |
Learn | |
| Amazon | Knime |
Overview | |
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning. | KNIME is the leading open platform for data-driven innovation helping organizations to stay ahead of change. Use our open-source, enterprise-grade analytics platform to discover the potential hidden in your data, mine for fresh insights or predict new futures. |
Offer | |
Learn more about Amazon SageMaker | Learn more about KNIME |
Sample Customers | |
| DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit | Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG |
Top Industries | |
Software R&D Company32% Media Company15% Comms Service Provider9% Retailer8% | Software R&D Company24% Comms Service Provider16% Manufacturing Company9% Financial Services Firm8% |
Company Size | |
No Data Available | Small Business27% Midsize Enterprise27% Large Enterprise45% Small Business17% Midsize Enterprise2% Large Enterprise82% |
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: October 2019.
378,570 professionals have used our research since 2012.
See also Amazon SageMaker Reviews, KNIME Reviews, and our list of Best Data Science Platforms Companies.
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