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KNIME Business Hub vs Oracle Advanced Analytics comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
6.7
Number of Reviews
66
Ranking in other categories
Data Science Platforms (5th)
Oracle Advanced Analytics
Ranking in Data Mining
6th
Average Rating
8.0
Reviews Sentiment
4.8
Number of Reviews
11
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Data Mining category, the mindshare of KNIME Business Hub is 10.6%, down from 18.4% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.9%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining Mindshare Distribution
ProductMindshare (%)
KNIME Business Hub10.6%
Oracle Advanced Analytics4.9%
Other84.5%
Data Mining
 

Featured Reviews

FE
Data Analyst at Politecnico di Milano
Automation has transformed payroll reporting and empowers nontechnical teams to run data workflows
KNIME Business Hub could be improved by increasing integration between KNIME and other tools, such as where companies store data and data visualization tools, making it easier to integrate with these tools and faster to create dashboard updates and quick data extraction through KNIME. An ETL process must communicate with both data sources and the data visualization layer. The integration needs to be more robust, and the nodes that act as connectors to these sources and tools need to be more robust, as the flow often broke when the problem was just a connection issue. This should be improved and perhaps expanded. Another problem was that KNIME could not integrate with all tools. Expanding the possibilities of creating reports and connecting to data visualization tools, especially on the data visualization side, would be useful. The output of an ETL process or ETL flow is visualization through a dashboard or report, so more downstream integration in the process would be needed. Regarding improvements needed in KNIME Business Hub, there may be a hierarchy of users and certain applications created. On the security side of accessing company data, I do not know whether this is already sufficiently considered by KNIME or not. I hope so, because certain data are sensitive and need to be handled with care. The fact that KNIME is enabled to access such data means you also need to ensure that authorizations and data processing policies are respected. Because some company data are sensitive, the fact that KNIME reads them also requires guaranteeing that a policy is respected on the other side. I hope this has already been considered by KNIME Business Hub; I am not aware, but if it has not, this could be an aspect to consider: privacy and the protection of company data when they are read by a system that is not company-owned but still must read them with all proper requirements and safeguards.
PR
Technical Manager at LTM
Analytics features have improved our reporting workflows and support data‑driven decisions
The feature is called Oracle R Enterprise, and I have not worked with it. I have not used Oracle Enterprise. I am hearing about it for the first time. We have not used machine learning. We do not work with it for creating any data models from machine learning. My overall rating for this product is 8.

Quotes from Members

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

Pros

"It is a complete data science platform and especially good at scaling up data preparation and wrapping."
"The solution is good for teaching, since there is no need to code."
"I use it personally for my purposes and for the company; I use it for internal data science with very good results."
"For organizations with a small team of data analysts or data scientists, it is a very easy tool to become familiar with predictive modeling, and makes it possible to hand over projects to colleagues without the need to extensively document them."
"Overall KNIME serves its purpose and does a good job."
"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."
"We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders."
"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."
"One of the valuable features is the ability to pull together multiple sources of information and the tools are easy to use which is the main factor."
"We have used Oracle Data Miner, which has a drag-and-drop interface that creates the workflow and is easy to use to build workflow-based modeling."
"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."
"Viewing the data on the Dashboard with charts is a great option this tool provides."
"Oracle Data Mining provides a powerful functionality as it enables users to discover new insights hidden in data."
"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."
"Easy to use, simple, with a quick learning curve."
 

Cons

"The pricing needs improvement."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"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."
"Compared to the other data tools on the market, the user interface can be improved."
"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."
"Though I can use KNIME in a 64-bit platform in the lab, it's missing some features. For example, from my laptop, I can use the image reader feature of KNIME. However, in the lab, the image reader node is missing."
"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."
"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."
"There are some transactions we have not been able to find through the dashboard."
"It is not a really easy product to use, so you have to do a lot of configuration."
"One area for product improvement is the user experience, particularly when navigating through screens."
"I would like to see an improvement in the ease of implementing customized data sources and the like."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"Since a separate Oracle database is needed, the data loading and cleansing the raw data can be a time consuming process."
"Problems in handling huge data sets."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
 

Pricing and Cost Advice

"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"KNIME offers a free version"
"KNIME assets are stand alone, as the solution is open source."
"It is expensive to procure the license."
"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."
"I use the tool's free version."
"KNIME is an open-source tool, so it's free to use."
"We're using the free academic license just locally. I went for KNIME because they have a free academic license."
"The solution is priced well."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
8%
University
8%
Outsourcing Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise16
Large Enterprise35
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise2
 

Questions from the Community

What needs improvement with KNIME?
KNIME Business Hub could be improved by making the user experience more intuitive, especially for users who are new to data analytics. More guided features and documentation would be beneficial.
What is your primary use case for KNIME?
I automated the processing of paper-based data by digitalizing scanned documents and creating a KNIME Business Hub workflow that transforms the data into an analysis-ready format, reducing a manual...
What advice do you have for others considering KNIME?
My advice to others looking into using KNIME Business Hub would be to start experimenting. Do not be afraid of KNIME Business Hub, even if you do not have a strong programming background. Start wit...
What is your experience regarding pricing and costs for Oracle Advanced Analytics?
It is not about data, but mostly about cost, which is why I do not give it a nine or ten. It is costly.
What needs improvement with Oracle Advanced Analytics?
From my perspective, there is sometimes room for improvement in advanced analytics, especially if the data is large, then it shows some performance issues.
What is your primary use case for Oracle Advanced Analytics?
Some customers are implementing and working with Oracle Advanced Analytics, while some do not use it, so it depends on the customers. The implementation of Oracle Advanced Analytics is mostly for r...
 

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 2026.
915,325 professionals have used our research since 2012.