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.
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Amazon SageMaker Logo
4,634 views|4,322 comparisons
KNIME Logo
Read 10 KNIME reviews.
21,168 views|16,525 comparisons
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.

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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.

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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.

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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.‚ÄčThe 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.

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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
12th
Views
4,634
Comparisons
4,322
Reviews
1
Average Words per Review
163
Avg. Rating
6.0
2nd
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 41% of the time.
Compared 14% of the time.
Compared 7% of the time.
Also Known As
AWS SageMaker, SageMakerKNIME Analytics Platform
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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, IntuitInfocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Top Industries
VISITORS READING REVIEWS
Software R&D Company32%
Media Company15%
Comms Service Provider9%
Retailer8%
VISITORS READING REVIEWS
Software R&D Company24%
Comms Service Provider16%
Manufacturing Company9%
Financial Services Firm8%
Company Size
No Data Available
REVIEWERS
Small Business27%
Midsize Enterprise27%
Large Enterprise45%
VISITORS READING REVIEWS
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.
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.
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