Compare KNIME vs. SAP Predictive Analytics

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Read 13 KNIME reviews.
21,367 views|16,076 comparisons
Most Helpful Review
Find out what your peers are saying about KNIME vs. SAP Predictive Analytics and other solutions. Updated: July 2021.
523,535 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
"This open-source product can compete with category leaders in ELT software.""The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes.""This solution is easy to use and especially good at data preparation and wrapping.""It's a coding-less opportunity to use AI. This is the major value for me.""This solution is easy to use and it can be used to create any kind of model.""All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function.""What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.""It is very fast to develop solutions."

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"The most valuable features are the analytics and reporting.""I think the features of the actual ability to forecast and pull trends and correlations has been really good."

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Cons
"The ability to handle large amounts of data and performance in processing need to be improved.""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.""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.""There should be better documentation and the steps should be easier.""KNIME needs to provide more documentation and training materials, including webinars or online seminars.""The predefined workflows could use a bit of improvement.""The documentation is lacking and it could be better.""There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."

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"This solution works for acquired data but not live, real-time data."

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Pricing and Cost Advice
"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website.""The price of KNIME is quite reasonable and the designer tool can be used free of charge.""It's an open-source solution.""The price for Knime is okay.""At this time, I am using the free version of Knime.""This is an open-source solution that is free to use.""There is a Community Edition and paid versions available."

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"A free trial version is available for testing out this solution.""The pricing is reasonable"

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Questions from the Community
Top Answer: The product is open-source and therefore free to use.
Top Answer: The solution is open-source and therefore cheap to use. Anyone can access it. They can just download it off the internet and start. Alteryx is way too expensive. In terms of pricing, it's always… more »
Top Answer: The user interface could be a bit better. It's currently very dated. They should look at other vendors like Alteryx that are more user friendly and modern. From a systems point of view, the tool is… more »
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Ranking
3rd
Views
21,367
Comparisons
16,076
Reviews
12
Average Words per Review
466
Rating
8.3
17th
Views
762
Comparisons
577
Reviews
2
Average Words per Review
515
Rating
8.5
Popular Comparisons
Also Known As
KNIME Analytics Platform
SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA
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Overview
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.

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

Offer
Learn more about KNIME
Learn more about SAP Predictive Analytics
Sample Customers
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
mBank
Top Industries
REVIEWERS
Comms Service Provider18%
Retailer18%
Government18%
University18%
VISITORS READING REVIEWS
Comms Service Provider21%
Computer Software Company20%
Manufacturing Company8%
Financial Services Firm8%
VISITORS READING REVIEWS
Computer Software Company44%
Comms Service Provider13%
Educational Organization5%
Energy/Utilities Company5%
Company Size
REVIEWERS
Small Business31%
Midsize Enterprise35%
Large Enterprise35%
VISITORS READING REVIEWS
Small Business33%
Midsize Enterprise9%
Large Enterprise58%
No Data Available
Find out what your peers are saying about KNIME vs. SAP Predictive Analytics and other solutions. Updated: July 2021.
523,535 professionals have used our research since 2012.

KNIME is ranked 3rd in Data Science Platforms with 13 reviews while SAP Predictive Analytics is ranked 17th in Data Science Platforms with 2 reviews. KNIME is rated 8.4, while SAP Predictive Analytics is rated 8.6. The top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". On the other hand, the top reviewer of SAP Predictive Analytics writes "Enables us to forecast and pull trends and has an easy installation ". KNIME is most compared with Alteryx, RapidMiner, Databricks, Dataiku Data Science Studio and Weka, whereas SAP Predictive Analytics is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Statistics, Amazon SageMaker, Alteryx and Dataiku Data Science Studio. See our KNIME vs. SAP Predictive Analytics report.

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