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KNIME vs SAP Predictive Analytics comparison

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Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Ranking in Data Science Platforms
10th
Average Rating
8.0
Number of Reviews
37
Ranking in other categories
Data Mining (3rd)
KNIME
Ranking in Data Science Platforms
2nd
Average Rating
8.2
Number of Reviews
58
Ranking in other categories
Data Mining (1st)
SAP Predictive Analytics
Ranking in Data Science Platforms
24th
Average Rating
8.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.8%, up from 2.6% compared to the previous year. The mindshare of KNIME is 11.0%, up from 8.6% compared to the previous year. The mindshare of SAP Predictive Analytics is 0.4%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

AbakarAhmat - PeerSpot reviewer
Sep 21, 2023
Enhancing survey analysis that provides valued insightfulness
I use it to analyze questionnaire surveys related to a product, solution, or application, such as open data services, which I provide to consumers and end-users. These surveys contain evaluation assessments, and I use SPSS to analyze the responses The most valuable feature is its robust…
Hansong Choi - PeerSpot reviewer
Aug 8, 2022
A low-code platform that reduces data mining time by linking script
I manage our data analytics team for a client in the insurance industry and we use the solution for cancelation probation campaigns, ratio modeling, and automatic claim models.  The solution allows for sharing model designs and model operations with other data analysts. Other solutions such as…
Gary Cook - PeerSpot reviewer
Jan 12, 2020
Enables us to forecast and pull trends and has an easy installation
We mainly use this program as a customer management system. We're looking at optimizing customer portfolio management and improving the aggregated lifetime values of the portfolio from one period to the next Well, this is difficult for me to answer because that's more on the team side. But I…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable feature is the user interface because you don't need to write code."
"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."
"It offers very good visualization."
"It is perfectly adequate if all you need are the results and not the trail of evidence."
"You can quickly build models because it does the work for you."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"KNIME is quite scalable, which is one of the most important features that we found."
"We can deploy the solution in a cluster as well."
"It offers a node-based data integration and processing system connected through a user-friendly drag-and-drop interface. This makes it an excellent choice for data analytics and engineering tasks."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"The product is user-friendly."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"Since KNIME is a no-code platform, it is easy to work with."
"The product is open-source and therefore free to use."
"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."
 

Cons

"Needs more statistical modelling functions."
"The reports could be better."
"This solution is not suitable for use with Big Data."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"In my environment, I need to access a lot of servers with different characteristics and access methods. Some of my servers have to be accessed using proxy which is not supported by KNIME, so I still need to create the middleware to supply the source of my KNIME configurations."
"KNIME doesn't handle large datasets or a high number of records well."
"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"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."
"KNIME is not scalable."
"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."
"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."
"This solution works for acquired data but not live, real-time data."
 

Pricing and Cost Advice

"It's quite expensive, but they do a special deal for universities."
"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."
"More affordable training for new staff members."
"The price of IBM SPSS Statistics could improve."
"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"KNIME is free and open source."
"There is a Community Edition and paid versions available."
"It is expensive to procure the license."
"This is an open-source solution that is free to use."
"It's an open-source solution."
"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
"KNIME assets are stand alone, as the solution is open source."
"With KNIME, you can use the desktop version free of charge as much as you like. I've yet to hit its limits. If I did, I'd have to go to the server version, and for that you have to pay. Fortunately, I don't have to at the moment."
"The pricing is reasonable"
"A free trial version is available for testing out this solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
10%
Computer Software Company
9%
Manufacturing Company
8%
Manufacturing Company
12%
Financial Services Firm
12%
Computer Software Company
9%
Educational Organization
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
While the pricing of the product may be higher, the accompanying service and features justify the investment. However...
What needs improvement with IBM SPSS Statistics?
In some cases, the product takes time to load a large dataset. They could improve this particular area.
What do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
What is your experience regarding pricing and costs for KNIME?
I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.
What needs improvement with KNIME?
The current UI is primarily in English. Analyzing data in local languages might present challenges or issues.
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Also Known As

SPSS Statistics
KNIME Analytics Platform
SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA
 

Learn More

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Overview

 

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
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Find out what your peers are saying about KNIME vs. SAP Predictive Analytics and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.