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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

"The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine."
"There are a lot of connectors available in KNIME."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"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."
"KNIME is more intuitive and easier to use, which is the principal advantage."
"The hardest part is keeping a tidy workspace because of the many nodes involved. When teaching, it would be helpful if there was more emphasis on how to group nodes effectively. For example, turning frequently used nodes into a single component can simplify things."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"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."
"Ability to pull together multiple sources of information."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
 

Cons

"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."
"The documentation is lacking and it could be better."
"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."
"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."
"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."
"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."
"There are some transactions we have not been able to find through the dashboard."
"One area for product improvement is the user experience, particularly when navigating through screens."
"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

"The price of KNIME is quite reasonable and the designer tool can be used free of charge."
"KNIME offers a free version"
"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."
"I use the tool's free version."
"This is a free open-source solution."
"They have different versions, but I am using the open-source one."
"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."
"KNIME is a cheap product. I currently use KNIME's open-source version."
"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
8%
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.
844,944 professionals have used our research since 2012.