KNIME Business Hub vs Oracle Advanced Analytics comparison

Knime and Oracle are both solutions in the Data Mining category. Knime is ranked #1 with an average rating of 8.1, while Oracle is ranked #7 with an average rating of 8.0. Knime holds a 22.1% mindshare in DM, compared to Oracle’s 4.9% mindshare. Additionally, 94% of Knime users are willing to recommend the solution, compared to 60% of Oracle users who would recommend it.

KNIME Business Hub

Read 60 KNIME Business Hub reviews

9,800 Views
1,470 Comparison Views

94% willing to recommend

Oracle Advanced Analytics

Read 10 Oracle Advanced Analytics reviews

381 Views
381 Comparison Views

60% willing to recommend

KNIME Business Hub

Oracle Advanced Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

Oracle Advanced Analytics and KNIME Business Hub are key players in the advanced data analytics market. Oracle leans on strong integration and scalability, while KNIME shines with a user-friendly design and flexible analytics platform.

Features: Oracle Advanced Analytics excels with its seamless integration with Oracle databases, extensive statistical functions, and powerful data analysis platform. KNIME Business Hub focuses on ease of use through a visual workflow interface, modifiable analytics, and wide data source compatibility.

Room for Improvement: Oracle Advanced Analytics could improve in user accessibility, flexibility in non-Oracle environments, and reduce complexity in setup. KNIME Business Hub could enhance computational efficiency, provide more in-depth technical support resources, and expand its machine learning algorithm library.

Ease of Deployment and Customer Service: Oracle offers a robust infrastructure but demands a technical setup, supported by a formal customer service experience. KNIME facilitates deployment via a cloud-based model and is praised for responsive and personalized support, enhancing user experience.

Pricing and ROI: Oracle's pricing is competitive within Oracle environments and offers substantial ROI. KNIME, with a higher initial cost, offers superior long-term ROI due to its versatility and minimal maintenance expenses, proving worthwhile for diverse applications.

To learn more, read our detailed KNIME Business Hub vs. Oracle Advanced Analytics Report (Updated: September 2025).

Buyer's Guide

KNIME Business Hub vs. Oracle Advanced Analytics

September 2025

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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

Ranking in other categories

Data Science Platforms (3rd)

Oracle Advanced Analytics

Ranking in Data Mining

7th

Average Rating

8.0

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2025, in the Data Mining category, the mindshare of KNIME Business Hub is 22.1%, down from 27.4% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.9%, up from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
KNIME Business Hub	22.1%
Oracle Advanced Analytics	4.9%
Other	73.0%

Data Mining

Featured Reviews

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

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,

Read full review

Alejandro Merida

Enterprise Solutions Architect at CONTPAQi

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…

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Quotes from Members

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

Pros

"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."

"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."

"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."

"It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea."

"I've tried to utilize KNIME to the fullest extent possible to replace Excel."

"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."

"It's a coding-less opportunity to use AI. This is the major value for me."

"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."

More KNIME Business Hub pros

"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."

"When needed, we will work closely with Oracle support and implement their workaround in our application."

"Ability to pull together multiple sources of information."

Cons

"Data visualization needs improvement."

"It could be easier to use."

"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."

"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."

"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."

"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 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."

More KNIME Business Hub cons

"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."

"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."

Pricing and Cost Advice

"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."

"The price of KNIME is quite reasonable and the designer tool can be used free of charge."

"They have different versions, but I am using the open-source one."

"KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."

"This is a free open-source solution."

"KNIME Business Hub is expensive for small companies."

"It's an open-source solution."

"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."

More KNIME Business Hub pricing and cost advice

"The solution is priced well."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

10%

University

Computer Software Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	16
Large Enterprise	29

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	1

Questions from the Community

What do you like most about KNIME?

Since KNIME is a no-code platform, it is easy to work with.

See all answers

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.

See all answers

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...

See all answers

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.

See all answers

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...

See all answers

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...

See all answers

Comparisons

Altair RapidMiner vs KNIME Business Hub

Compared 23% of the time

Dataiku vs KNIME Business Hub

Compared 13% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 8% of the time

Alteryx vs KNIME Business Hub

Compared 7% of the time

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SAS Analytics vs Oracle Advanced Analytics

Compared 30% of the time

IBM SPSS Statistics vs Oracle Advanced Analytics

Compared 23% of the time

Weka vs Oracle Advanced Analytics

Compared 22% of the time

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Product Reports

Buyer's Guide

KNIME Business Hub

August 2025

Download KNIME Business Hub product report

Buyer's Guide

Oracle Advanced Analytics

August 2025

Download Oracle Advanced Analytics product report

Also Known As

KNIME Analytics Platform

OAA

Overview

KNIME Business Hub offers a no-code interface for data preparation and integration, making analytics and machine learning accessible. Its extensive node library allows seamless workflow execution across various data tasks.

KNIME Business Hub stands out for its user-friendly, no-code platform, promoting efficient data preparation and integration, even with Python and R. Its node library covers extensive data processes from ETL to machine learning. Community support aids users, enhancing productivity with minimal coding. However, its visualization, documentation, and interface require refinement. Larger data tasks face performance hurdles, demanding enhanced cloud connectivity and library expansions for deep learning efficiencies.

What are the most important features of KNIME Business Hub?

No-Code Interface: Simplifies data preparation without coding expertise.
Node Library: Supports diverse data tasks, including ETL and machine learning.
Python and R Integration: Seamlessly connects with popular programming languages.
Automation Capabilities: Enhances workflow productivity.
Visual Workflow Tools: Offers efficient data handling with visual aids.

What benefits and ROI can users expect from KNIME Business Hub?

Increased Productivity: Streamlined data tasks reduce development time.
Community Support: Access to extensive resources and user assistance.
Cost-Effective: Robust performance even on standard hardware.
Accessible Learning Curve: Simplicity allows easy access for educational and professional use.
Enhanced Prototyping: Ideal for decision model testing.

KNIME Business Hub finds application in data transformation, cleansing, and multi-source integration for analytics and reporting. Companies utilize it for predictive modeling, clustering, classification, machine learning, and automating workflows. Its coding-free approach suits educational and professional settings, assisting industries in data wrangling, ETLs, and prototyping decision models.

Knime

Oracle Advanced Analytics 12c delivers parallelized in-database implementations of data mining algorithms and integration with open source R. Data analysts use Oracle Data Miner GUI and R to build and evaluate predictive models and leverage R packages and graphs. Application developers deploy Oracle Advanced Analytics models using SQL data mining functions and R. With the Oracle Advanced Analytics option, Oracle extends the Oracle Database to an sclable analytical platform that mines more data and data types, eliminates data movement, and preserves security to anticipate customer behavior, detect patterns, and deliver actionable insights. Oracle Big Data SQL adds new big data sources and Oracle R Advanced Analytics for Hadoop provides algorithms that run on Hadoop.

Oracle

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.

Buyer's Guide

KNIME Business Hub vs. Oracle Advanced Analytics

September 2025

Free Report: KNIME Business Hub vs. Oracle Advanced Analytics

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