Try our new research platform with insights from 80,000+ expert users

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 (2nd)
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 August 2025, in the Data Mining category, the mindshare of KNIME Business Hub is 24.3%, down from 26.6% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.7%, down from 4.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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

"The tool's analytic capabilities are good."
"It is a stable solution...It is a scalable solution."
"I am impressed by the modularity and reusability in KNIME, especially the ability to make small adjustments to object configurations."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node."
"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."
"Ability to pull together multiple sources of information."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
 

Cons

"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"We do not have much documentation in Portuguese."
"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."
"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."
"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."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"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."
"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."
"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."
 

Pricing and Cost Advice

"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"I use the tool's free version."
"It is free of cost. It is GNU licensed."
"The price of KNIME is quite reasonable and the designer tool can be used free of charge."
"The price for Knime is okay."
"KNIME is an open-source tool, so it's free to use."
"This is an open-source solution that is free to use."
"KNIME offers a free version"
"The solution is priced well."
report
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
865,295 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
10%
University
9%
Computer Software Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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: July 2025.
865,295 professionals have used our research since 2012.