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KNIME vs Oracle Advanced Analytics comparison

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Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Ranking in Data Mining
3rd
Average Rating
8.0
Number of Reviews
37
Ranking in other categories
Data Science Platforms (10th)
KNIME
Ranking in Data Mining
1st
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
58
Ranking in other categories
Data Science Platforms (2nd)
Oracle Advanced Analytics
Ranking in Data Mining
6th
Average Rating
8.2
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Mining category, the mindshare of IBM SPSS Statistics is 14.5%, up from 12.8% compared to the previous year. The mindshare of KNIME is 26.3%, up from 25.2% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.0%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining
 

Featured Reviews

AbakarAhmat - PeerSpot reviewer
Enhancing survey analysis that provides valued insightfulness
I used traditional tools where I would prepare data, click through menus, and use SQL Server for data visualization. We switched to IBM SPSS because it offers strong certification and aligns well with the standards we prioritize in our surveys. In terms of popularity, it stands out as the top choice in the market, especially in the research and university domains. Many different organizations and institutions use SPSS for statistical analytics. While there are other tools like MCLab and similar options available, SPSS is the most renowned and widely used among them.
Hansong Choi - PeerSpot reviewer
A low-code platform that reduces data mining time by linking script
The solution allows for sharing model designs and model operations with other data analysts. Other solutions such as SAS, R, and Python consist of just the script which is difficult to share. The solution is a low-code platform which reduces data mining time and its platform includes a clickable icon for linking script.
Alejandro Merida - PeerSpot reviewer
Has efficient predictive analysis capabilities, helping us maintain a secure network environment
Our primary use case for the product is managing and analyzing our business's data lakes, which have accumulated over nearly 40 years The platform's most valuable features are the efficient organization of data and the ability to extract specific insights for predictive analysis. One area for…

Quotes from Members

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

Pros

"One feature I found very valuable was the analysis of variance (ANOVA)."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"You can quickly build models because it does the work for you."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"The solution allows for sharing model designs and model operations with other data analysts."
"I've never had any problems with stability."
"The solution is good for teaching, since there is no need to code."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"We can deploy the solution in a cluster as well."
"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."
"I would rate the stability of KNIME a ten out of ten."
"Easy to use, stable, and powerful."
"Ability to pull together multiple sources of information."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
 

Cons

"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"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."
"Better documentation on how to use macros."
"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."
"The solution needs to improve forecasting using time series analysis."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"It could allow adding color to data models to make them easier to interpret."
"The documentation is lacking and it could be better."
"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."
"We do not have much documentation in Portuguese."
"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."
"KNIME could improve when it comes to large data markets."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"KNIME is not scalable."
"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."
"There are some transactions we have not been able to find through the dashboard."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"One area for product improvement is the user experience, particularly when navigating through screens."
 

Pricing and Cost Advice

"More affordable training for new staff members."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"I rate the tool's pricing a five out of ten."
"The price of this solution is a little bit high, which was a problem for my company."
"We think that IBM SPSS is expensive for this function."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"The price of IBM SPSS Statistics could improve."
"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."
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"There is no cost for using KNIME because it is an open-source solution, but you have to pay if you need a server."
"This is an open-source solution that is free to use."
"For beginners, the free desktop version is very attractive, but the full server version can be more expensive. I have only used the free version and it offers a fair pricing system. I have been promoting it to others without any compensation or request from the company, simply because I am enthusiastic about it. I am not aware of the pricing for the server version, but it seems to be widely used."
"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
"KNIME is free and open source."
"I use the tool's free version."
"The solution is priced well."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
University
9%
Computer Software Company
9%
Manufacturing Company
8%
Manufacturing Company
13%
Financial Services Firm
13%
Computer Software Company
9%
Educational Organization
8%
University
18%
Computer Software Company
14%
Manufacturing Company
12%
Government
12%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive produ...
What needs improvement with IBM SPSS Statistics?
IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the result...
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.
What needs improvement with Oracle Advanced Analytics?
One area for product improvement is the user experience, particularly when navigating through screens, especially on ...
What is your primary use case for Oracle Advanced Analytics?
Our primary use case for the product is managing and analyzing our business's data lakes, which have accumulated over...
What advice do you have for others considering Oracle Advanced Analytics?
Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment. Experienced p...
 

Comparisons

No data available
 

Also Known As

SPSS Statistics
KNIME Analytics Platform
OAA
 

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
Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.
Find out what your peers are saying about KNIME vs. Oracle Advanced Analytics and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.