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KNIME vs Oracle Advanced Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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
Ranking in Data Mining
1st
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
59
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 April 2025, in the Data Mining category, the mindshare of KNIME is 25.7%, down from 27.4% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.0%, down from 4.7% 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

"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."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes."
"It is very fast to develop solutions."
"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."
"This open-source product can compete with category leaders in ELT software."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"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."
"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."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
 

Cons

"If they had a more structured training model it would be very helpful."
"KNIME doesn't handle large datasets or a high number of records well."
"The solution is inconvenient when it comes to wrangling data that includes multiple steps or features because each step or feature requires its own icon."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"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."
"Sometimes, we needed more space to handle larger operations, especially since our machines had limited space and memory due to Kubernetes clusters."
"I would prefer to have more connectivity."
"They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning."
"One area for product improvement is the user experience, particularly when navigating through screens."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"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."
 

Pricing and Cost Advice

"This is an open-source solution that is free to use."
"KNIME Business Hub is expensive for small companies."
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"I use the tool's free version."
"KNIME assets are stand alone, as the solution is open source."
"KNIME is free and open source."
"It is expensive to procure the license."
"KNIME is a cost-effective solution because it’s free of cost."
"The solution is priced well."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
9%
University
7%
Government
18%
Computer Software Company
13%
Manufacturing Company
10%
University
10%
 

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?
For graphics, the interface is a little confusing. So, this is a point that could be improved.
What needs improvement with Oracle Advanced Analytics?
One area for product improvement is the user experience, particularly when navigating through screens, especially on Windows.
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 nearly 40 years.
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 personnel are crucial for handling the solution effectively after installation. O...
 

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 vs. Oracle Advanced Analytics and other solutions. Updated: March 2025.
845,040 professionals have used our research since 2012.