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KNIME Business Hub vs Oracle Advanced Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 2025

Review summaries and opinions

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

Categories and Ranking

KNIME Business Hub
Ranking in Data Mining
1st
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
60
Ranking in other categories
Data Science Platforms (3rd)
Oracle Advanced Analytics
Ranking in Data Mining
6th
Average Rating
8.0
Reviews Sentiment
4.4
Number of Reviews
10
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Data Mining category, the mindshare of KNIME Business Hub is 18.7%, down from 26.6% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.0%, up from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining Market Share Distribution
ProductMarket Share (%)
KNIME Business Hub18.7%
Oracle Advanced Analytics4.0%
Other77.3%
Data Mining
 

Featured Reviews

Laurence Moseley - PeerSpot reviewer
Has a drag-and-drop interface and AI capabilities
It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data. Next, you can clean the data by handling missing values, selecting specific columns you want to analyze, and then proceeding with your analysis, such as regression or correlation. KNIME has over 4,500 nodes available for download. In addition, KNIME offers various extensions. For instance, the text processing extension allows you to process text data efficiently. It's more powerful than other tools like NVivo and Palantir. KNIME also has AI capabilities. If you're unsure about the next step, the AI assistant can suggest the most frequently used nodes based on your previous work. Another valuable feature is the integration with Python. If you need to perform a task that requires Python, you can simply add a Python node, write the necessary code,
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

"Easy to use, stable, and powerful."
"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."
"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've tried to utilize KNIME to the fullest extent possible to replace Excel."
"It is a stable solution...It is a scalable solution."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"I've never had any problems with stability."
"KNIME is easy to learn."
"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."
"Ability to pull together multiple sources of information."
 

Cons

"I've had some problems integrating KNIME with other solutions."
"Occasionally, when using the GET object, there might be issues due to the velocity of the lines or the IT system of the commission."
"For graphics, the interface is a little confusing. So, this is a point that could be improved."
"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
"KNIME's documentation is not strong."
"KNIME could improve when it comes to large data markets."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"We do not have much documentation in Portuguese."
"One area for product improvement is the user experience, particularly when navigating through screens."
"There are some transactions we have not been able to find through the dashboard."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
 

Pricing and Cost Advice

"It is free of cost. It is GNU licensed."
"KNIME offers a free version"
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"There is a Community Edition and paid versions available."
"I use the tool's free version."
"The price for Knime is okay."
"KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."
"The price of KNIME is quite reasonable and the designer tool can be used free of charge."
"The solution is priced well."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
University
9%
Manufacturing Company
9%
Computer Software Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise16
Large Enterprise29
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise1
 

Questions from the Community

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?
I have seen the potential to interact with Python, which is currently a bit limited. I am interested in the newer version, 5.4, when it becomes available. The machine learning and profileration asp...
What is your experience regarding pricing and costs for Oracle Advanced Analytics?
I am currently satisfied with the pricing for Oracle Advanced Analytics. It's a little bit high maybe, but I think it's acceptable.
What needs improvement with Oracle Advanced Analytics?
The organizational context makes it difficult to deploy Oracle Advanced Analytics because we have all kinds of contract maintenance parties; however, the software installation itself is something w...
What is your primary use case for Oracle Advanced Analytics?
I currently use the solution just for gathering information, and I'm working on a side project detailing cloud costs. I downloaded the information to get some information about the situation. We ty...
 

Also Known As

KNIME Analytics Platform
OAA
 

Overview

 

Sample Customers

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 Business Hub vs. Oracle Advanced Analytics and other solutions. Updated: September 2025.
872,029 professionals have used our research since 2012.