KNIME Analytics Platform vs. SAS Enterprise Guide

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
KNIME Analytics Platform
Score 7.6 out of 10
N/A
Swiss company KNIME offers their KNIME Analytics Platform for big data and predictive analytics.N/A
SAS Enterprise Guide
Score 8.9 out of 10
N/A
SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.N/A
Pricing
KNIME Analytics PlatformSAS Enterprise Guide
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
KNIME Analytics PlatformSAS Enterprise Guide
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
KNIME Analytics PlatformSAS Enterprise Guide
Considered Both Products
KNIME Analytics Platform
Chose KNIME Analytics Platform
We need to use SAS/STAT package within SAS to use the advanced statistical functions, but KNIME has inbuilt libraries for the same. Also, the integration with Open source (Python, R, Java codes) allows better scalability & more availability of skilled resources to work upon.
SAS Enterprise Guide
Chose SAS Enterprise Guide
Of the software tools I have tried, SAS Enterprise Guide is my preferred choice because of the efficiency of processing, the line-by-line processing, the ease of writing code, and the customer support. SAS appears to have put lots of effort into making SAS Enterprise Guide one …
Top Pros
Top Cons
Features
KNIME Analytics PlatformSAS Enterprise Guide
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
KNIME Analytics Platform
7.6
9 Ratings
8% below category average
SAS Enterprise Guide
-
Ratings
Connect to Multiple Data Sources7.09 Ratings00 Ratings
Extend Existing Data Sources7.69 Ratings00 Ratings
Automatic Data Format Detection7.79 Ratings00 Ratings
MDM Integration7.98 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
KNIME Analytics Platform
5.5
9 Ratings
38% below category average
SAS Enterprise Guide
-
Ratings
Visualization5.39 Ratings00 Ratings
Interactive Data Analysis5.79 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
KNIME Analytics Platform
7.7
9 Ratings
5% below category average
SAS Enterprise Guide
-
Ratings
Interactive Data Cleaning and Enrichment7.69 Ratings00 Ratings
Data Transformations8.39 Ratings00 Ratings
Data Encryption7.37 Ratings00 Ratings
Built-in Processors7.48 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
KNIME Analytics Platform
5.6
8 Ratings
38% below category average
SAS Enterprise Guide
-
Ratings
Multiple Model Development Languages and Tools5.57 Ratings00 Ratings
Automated Machine Learning6.47 Ratings00 Ratings
Single platform for multiple model development5.68 Ratings00 Ratings
Self-Service Model Delivery5.08 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
KNIME Analytics Platform
6.4
5 Ratings
26% below category average
SAS Enterprise Guide
-
Ratings
Flexible Model Publishing Options6.95 Ratings00 Ratings
Security, Governance, and Cost Controls5.94 Ratings00 Ratings
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User Ratings
KNIME Analytics PlatformSAS Enterprise Guide
Likelihood to Recommend
7.7
(12 ratings)
8.4
(11 ratings)
Likelihood to Renew
8.0
(1 ratings)
8.0
(1 ratings)
Usability
8.0
(1 ratings)
5.0
(2 ratings)
Support Rating
6.9
(6 ratings)
5.4
(8 ratings)
Implementation Rating
8.0
(2 ratings)
7.0
(2 ratings)
User Testimonials
KNIME Analytics PlatformSAS Enterprise Guide
Likelihood to Recommend
KNIME
[KNIME Analytics] is greatly suited for repetitive tasks one has to perform in excel as it automates these mundane tasks. [KNIME Analytics] is also well suited for creating a seamless connection with other BI tools to enable hands-free file sharing. [KNIME Analytics] has improvements to make on the overall User interface, its data visualization package and advanced level of AI-related tasks such as text mining,
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SAS
SAS Enterprise Guide is good at taking various datasets and giving analyst/user ability to do some transformations without substantial amounts of code. Once the data is inside SAS, the memory of it is very efficient. Using SAS for data analysis can be helpful. It will give good statistics for you, and it has a robust set of functions that aid analysis.
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Pros
KNIME
  • Easy to use without much knowledge of coding.
  • Connection to other languages such as JS, R, Python, etc.
  • Workflow is displayed as connected nodes which makes it easy to troubleshoot and visualize.
  • Open-source.
  • Have a decent size community that supports Q&A.
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SAS
  • I think the most useful aspect of SAS Enterprise Guide is the ability to use a point-and-click interface to create graphics, transform data, and perform statistics. The best part is that SAS Enterprise Guide creates base SAS code from the process, making it easy to reproduce analyses.
  • SAS Enterprise Guide makes creating summary statistics about as easy as it gets. If one doesn't know proc means or proc tabulate, one can use SAS Enterprise Guide instead.
  • The time-series forecasting procedures within SAS Enterprise Guide produce fairly good results. SAS Enterprise Guide makes time-series model comparisons relatively straight-forward.
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Cons
KNIME
  • It does not have proper visualization.
  • Some other BI tools (QlikView) have much easier functions for data interaction.
  • Some other BI tools (Tableau) can be set up much faster.
  • It is not an easy tool to use for non-tech savvy staff.
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SAS
  • errors could be more detailed
  • when you export in different excel sheets, its grouped together, which could be a problem in certain circumstances
  • it would be nice to have a function to tell if some tables is open and by whom
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Likelihood to Renew
KNIME
I am happy with the product. It provides the required functionality.
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SAS
On account of current user experience and the organization-wide acceptance.
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Usability
KNIME
It performs all the required functions.
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SAS
It's not all bad, but I don't believe that an enterprise purchase of SAS is worth the expense considering the widely available set of tools in the data analytics space at the moment. In my company, it's a good tool because others use it. Otherwise, I wouldn't purchase a new set of it because it doesn't have some of the better analytical functions in it.
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Support Rating
KNIME
Since it is relatively new, there has not developed a vast previously asked/frequently asked questions library that comes up when you google an issue you come across with. This will happen only in time, and as the community grows. Because of the same reason, the community is not big. Consequently, it is possible not to receive good, fast responses to asked questions in community hubs and forums.
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SAS
I did not use the technical support of SAS EG. I can say that I have had hard time to find online tutorials or projects for SAS EG. For instance, it is hard to find completed researches or designed algorithms used with SAS EG. Sometimes it just depends on user's skill set and experience with databases and programming.
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Implementation Rating
KNIME
No answers on this topic
SAS
I've not worked hands-on with the implementation team, but there were no escalations barring a few hiccups in the deployment due to change in requirement & adoption to our company's remote servers.
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Alternatives Considered
KNIME
  • Alteryx : allows for generally "data" knowledgeable workers to easily implement and develop a data model in an automated fashion. The collaboration tools built in also make is easy for members to share work, best practices, and custom modules
  • Alteryx is not cloud based solution where as KNIME Analytics has that
  • Alteryx was selected due to better user interface and better in data analytics
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SAS
SAS Enterprise Guide stacks up against others in many ways.
  1. SAS Enterprise Guide is comprehensive when it comes to every aspect of data science and analytics.
  2. SAS Enterprise Guide stacks generate results that are accurate and reliable.
  3. SAS Enterprise Guide is easy to use and is compatible with many new and old platforms
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Return on Investment
KNIME
  • It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
  • Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
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SAS
  • I'm not involved in the financial side of SAS implementation, however the use of data to gain insight into the daily running of the business is always a must have and SAS EG has played an integral part in keeping the Executives up to date with work flow and financial information.
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