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 15.8% mindshare in DM, compared to Oracle’s 4.1% 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

8,307 Views
1,246 Comparison Views

94% willing to recommend

Oracle Advanced Analytics

Read 10 Oracle Advanced Analytics reviews

422 Views
422 Comparison Views

60% willing to recommend

KNIME Business Hub

Oracle Advanced Analytics

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Executive SummaryUpdated on Nov 2, 2025

Oracle Advanced Analytics and KNIME Business Hub are key competitors in the data analytics domain. KNIME Business Hub has an advantage due to its user-friendly interface and flexibility, while Oracle Advanced Analytics excels in integrating with Oracle systems.

Features:Oracle Advanced Analytics offers integrated machine learning and data mining capabilities, supports SQL integration, and provides comprehensive dashboards for business intelligence. KNIME Business Hub features an open-source platform, support for numerous data sources, and a variety of pre-built analytics nodes.

Room for Improvement:Oracle Advanced Analytics could benefit from enhanced flexibility, simpler deployment processes, and broader third-party integration. KNIME Business Hub might improve by offering more robust enterprise features, advanced technical support options, and a more detailed user documentation system.

Ease of Deployment and Customer Service:KNIME Business Hub facilitates effortless deployment with its modular scaling approach, supported by a large community. Oracle Advanced Analytics provides professional-grade support and seamless Oracle system integration, although it may require more technical expertise.

Pricing and ROI:KNIME Business Hub caters to businesses looking for cost-effective scalability, offering flexible pricing plans. Oracle Advanced Analytics, while potentially more costly, promises substantial ROI for Oracle ecosystem users due to its deep integration.

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

Buyer's Guide

KNIME Business Hub vs. Oracle Advanced Analytics

December 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

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 December 2025, in the Data Mining category, the mindshare of KNIME Business Hub is 15.8%, down from 26.2% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.1%, 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	15.8%
Oracle Advanced Analytics	4.1%
Other	80.1%

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

"I was able to apply basic algorithms through just dragging and dropping."

"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."

"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."

"We have found KNIME valuable when it comes to its visualization."

"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."

"I am impressed by the modularity and reusability in KNIME, especially the ability to make small adjustments to object configurations."

"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."

"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."

More KNIME Business Hub pros

"Ability to pull together multiple sources of information."

"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."

"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."

"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."

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

"From the point of view of the interface, they can do a little bit better."

"Compared to the other data tools on the market, the user interface can be improved."

"The documentation is lacking and it could be better."

"For graphics, the interface is a little confusing."

"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."

"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."

More KNIME Business Hub cons

"Could use some refinement getting things that are not standard cloud applications, but more customized."

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

"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

"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."

"KNIME is an open-source tool, so it's free to use."

"At this time, I am using the free version of Knime."

"There is a Community Edition and paid versions available."

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

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

"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."

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

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

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?

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 12% of the time

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Compared 10% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 9% of the time

Alteryx vs KNIME Business Hub

Compared 8% of the time

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SAS Analytics vs Oracle Advanced Analytics

Compared 22% of the time

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Compared 22% of the time

Weka vs Oracle Advanced Analytics

Compared 20% of the time

IBM SPSS Statistics vs Oracle Advanced Analytics

Compared 15% of the time

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Product Reports

Buyer's Guide

KNIME Business Hub

December 2025

Download KNIME Business Hub product report

Buyer's Guide

Oracle Advanced Analytics

December 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

December 2025

Free Report: KNIME Business Hub vs. Oracle Advanced Analytics

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