No more typing reviews! Try our Samantha, our new voice AI agent.

KNIME Business Hub vs TIBCO Statistica comparison

Why PeerSpot?
 

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 Science Platforms
3rd
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
65
Ranking in other categories
Data Mining (1st)
TIBCO Statistica
Ranking in Data Science Platforms
30th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
1
Ranking in other categories
Predictive Analytics (10th)
 

Mindshare comparison

As of November 2026, in the Data Science Platforms category, the mindshare of KNIME Business Hub is 4.1%, down from 11.2% compared to the previous year. The mindshare of TIBCO Statistica is 0.9%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
KNIME Business Hub4.1%
TIBCO Statistica0.9%
Other95.0%
Data Science Platforms
 

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.
reviewer2038860 - PeerSpot reviewer
Key Account Manager at a tech services company with 11-50 employees
Provides versatility in analysis and problem-solving
I use TIBCO Statistica for quality control, creating profile control charts, and employing basic statistical tools in production. Some clients prefer advanced options like neural networks and decision trees for more in-depth analysis. TIBCO Statistica helps us meet a range of statistical needs for…

Quotes from Members

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

Pros

"I use it personally for my purposes and for the company; I use it for internal data science with very good results."
"It's a coding-less opportunity to use AI. This is the major value for me."
"It has an excellent interface, is very easy to use, really boosts productivity, has impressive performance even on a normal laptop, and its diversity of tools for preprocessing and integration with R and Weka make it the perfect data mining solution."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"KNIME is easy to learn."
"We have been using these features extensively and we find them to be very valuable in achieving what we hoped to achieve with the tool."
"The product is open-source and therefore free to use."
"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."
"One of the best features of TIBCO Statistica is its block-based solution building."
 

Cons

"If they had a more structured training model it would be very helpful."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"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."
"I feel the query performance is slower than my old code."
"Data visualization needs improvement."
"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."
"I think the data visualization part is the area most in need of improvement."
"The documentation needs a proper rework. ​"
"TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis."
 

Pricing and Cost Advice

"It is expensive to procure the license."
"KNIME is a cost-effective solution because it’s free of cost."
"It's an open-source solution."
"This is an open-source solution that is free to use."
"They have different versions, but I am using the open-source one."
"It is free of cost. It is GNU licensed."
"KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."
"The price for Knime is okay."
Information not available
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
920,769 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
10%
University
8%
Manufacturing Company
8%
Outsourcing Company
7%
Construction Company
14%
Educational Organization
12%
University
11%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise16
Large Enterprise35
No data available
 

Questions from the Community

What needs improvement with KNIME?
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 the...
What is your primary use case for KNIME?
I used KNIME Business Hub in my previous role for approximately six months, from April to September 2025. The primary use case for KNIME Business Hub was creating an ETL flow for the HR team that g...
What advice do you have for others considering KNIME?
Regarding concrete examples of metrics or results obtained with KNIME Business Hub, we definitely saved a lot in terms of time and productivity. The work was also much more fluid and activities wer...
Ask a question
Earn 20 points
 

Also Known As

KNIME Analytics Platform
Quest Statistica, Dell Statistica
 

Overview

 

Sample Customers

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Danske Bank
Find out what your peers are saying about Databricks, Dataiku, Knime and others in Data Science Platforms. Updated: October 2026.
920,769 professionals have used our research since 2012.