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 8.0, while Oracle is ranked #6 with an average rating of 8.0. Knime holds a 13.5% mindshare in DM, compared to Oracle’s 4.5% 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

8,226 Views
1,234 Comparison Views

94% willing to recommend

Oracle Advanced Analytics

Read 10 Oracle Advanced Analytics reviews

501 Views
501 Comparison Views

60% willing to recommend

KNIME Business Hub

Oracle Advanced Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

Oracle Advanced Analytics and KNIME Business Hub are competing products in the analytics software market. KNIME Business Hub holds an advantage due to its comprehensive feature set, making it worth the investment despite higher costs.

Features: Oracle Advanced Analytics offers robust predictive analytics, integration with Oracle's ecosystem, and data mining functionalities that include regression and attribute importance. KNIME Business Hub excels with a broad range of data processing and machine learning tools, compatibility with multiple data sources, and the ability to integrate with languages such as Python and R.

Room for Improvement: Oracle Advanced Analytics could benefit from more straightforward setup processes and enhanced open integration. Increasing the diversity of features could also improve competitiveness. KNIME Business Hub could improve by reducing its initial investment costs and streamlining the learning curve for new users. Enhancing predictive analytics could further strengthen its offerings.

Ease of Deployment and Customer Service: KNIME Business Hub provides a simple deployment process with extensive support and documentation. Oracle Advanced Analytics requires more extensive integration within the Oracle ecosystem, making deployment more complex. Customer service experiences can vary, with KNIME offering tailored and responsive assistance.

Pricing and ROI: Oracle Advanced Analytics is generally more cost-effective initially, appealing to budget-conscious businesses. KNIME Business Hub, with a higher upfront cost, is viewed as offering greater long-term ROI due to its comprehensive features that support strategic business goals and operational efficiencies.

To learn more, read our detailed KNIME Business Hub vs. Oracle Advanced Analytics Report (Updated: February 2026).

Buyer's Guide

KNIME Business Hub vs. Oracle Advanced Analytics

February 2026

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Helped 881,757 peers since 2012

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

6th

Average Rating

8.0

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Mining category, the mindshare of KNIME Business Hub is 13.5%, down from 24.9% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.5%, up from 4.0% 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	13.5%
Oracle Advanced Analytics	4.5%
Other	82.0%

Data Mining

Featured Reviews

DanieleGentile

BI Analyst at a photography company with 11-50 employees

Enables fast project development with efficient workflow modifications and promising features while offering modularity and reusability

KNIME is simple and allows for fast project development due to its reusability. I appreciate the ability to make improvements or modifications in existing workflows. Although I have not yet used the forecasting and customer profiling features, I find them promising. Another effective feature is the ability to use GET request objects to retrieve data from websites or APIs. This makes iterative steps easy to manage. It is more elastic and modern compared to SAP Data Services, allowing node creation and regrouping components or steps for reuse in different projects.

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reviewer2174289

External Consultant at a consultancy with 51-200 employees

Customization and centralization improve efficiency despite complex user interface

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 we're used to doing, so that's no problem for us. It is not a really easy product to use, so you have to do a lot of configuration. The user interface is somewhat complex, and while they're working on that, for the end-user it is not really intuitive, so that could be improved. Currently, we are not using the predictive analytics capabilities, so I cannot say anything about it.

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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 has allowed us to easily implement advanced analytics into various processes."

"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."

"The most valuable feature is the data wrangling, which is what I mainly use it for."

"KNIME is quite scalable, which is one of the most important features that we found."

"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."

"It's a huge tool with machine learning features as well."

"This solution is easy to use and especially good at data preparation and wrapping."

"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."

More KNIME Business Hub pros

"Oracle Advanced Analytics helps us to steer the company, to create centralized reports and dashboards so that we're all using the same information, and we're not relying that much on Excel and different custom reporting solutions."

"Ability to pull together multiple sources of information."

"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."

"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."

Cons

"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."

"KNIME doesn't handle large datasets or a high number of records well."

"They should look at other vendors like Alteryx that are more user friendly and modern."

"Data visualization needs improvement."

"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."

"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."

"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."

"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."

More KNIME Business Hub cons

"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."

"One area for product improvement is the user experience, particularly when navigating through screens."

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."

"It is expensive to procure the license."

"KNIME is a cheap product. I currently use KNIME's open-source version."

"KNIME assets are stand alone, as the solution is open source."

"This is a free open-source solution."

"KNIME is a cost-effective solution because it’s free of cost."

"KNIME offers a free version"

"The price for Knime is okay."

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

12%

University

Manufacturing Company

Educational Organization

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?

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

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Compared 14% of the time

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Compared 11% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 9% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 8% of the time

Alteryx vs KNIME Business Hub

Compared 7% of the time

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Compared 21% of the time

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Compared 14% of the time

Weka vs Oracle Advanced Analytics

Compared 13% of the time

IBM SPSS Statistics vs Oracle Advanced Analytics

Compared 11% of the time

IBM SPSS Modeler vs Oracle Advanced Analytics

Compared 10% of the time

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Product Reports

Buyer's Guide

KNIME Business Hub

January 2026

Download KNIME Business Hub product report

Buyer's Guide

Oracle Advanced Analytics

January 2026

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

February 2026

Free Report: KNIME Business Hub vs. Oracle Advanced Analytics

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