Databricks vs KNIME Business Hub comparison

Why PeerSpot?

Databricks and Knime are both solutions in the Data Science Platforms category. Databricks is ranked #1 with an average rating of 8.5, while Knime is ranked #3 with an average rating of 8.5. Databricks holds a 6.5% mindshare in Data Science Platforms, compared to Knime’s 4.1% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 94% of Knime users who would recommend it.

Databricks

Read 95 Databricks reviews

26,401 Views
9,768 Comparison Views

96% willing to recommend

KNIME Business Hub

Read 65 KNIME Business Hub reviews

9,934 Views
7,649 Comparison Views

94% willing to recommend

Databricks

KNIME Business Hub

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

Databricks and KNIME Business Hub compete in the data analytics and machine learning platform category. Databricks appears to have an edge in handling large-scale data processing and advanced machine learning capabilities, while KNIME shines in providing user-friendly, no-code solutions ideal for those lacking coding expertise.

Features: Databricks offers powerful analytics capabilities, robust machine learning support, and features such as Delta Lake and SQL integration. It provides a collaborative environment with notebooks suitable for both Python and R. In comparison, KNIME Business Hub excels in its no-code interface, extensive library of nodes, and excellent workflow tools, making it suitable for users without a coding background.

Room for Improvement: Databricks users seek improvements in pricing, visualization capabilities, and advanced integrations with tools like Power BI. Enhancements in simplifying management and expanding machine learning features are also desired. KNIME needs better performance in handling large datasets, improved data visualization abilities, and enhanced documentation to assist new users. There's also a need for stronger integration capabilities with various platforms.

Ease of Deployment and Customer Service: Databricks provides flexible deployment options via major cloud providers like Azure and AWS, offering a versatile environment but with varied experiences in technical support. KNIME Business Hub typically deploys on-premises or private cloud, backed by comprehensive documentation reducing frequent needs for support, although when engaged, users report satisfactory service.

Pricing and ROI: Databricks is often considered expensive with usage-centered pricing models that depend on cloud choice but is viewed as cost-effective for large-scale processing. KNIME offers cost savings with its free desktop version and competitively priced server option for enterprise use, providing significant value through its open-source strategy. Users note Databricks delivers ROI in cost savings, while KNIME’s open-source nature inherently reduces costs.

To learn more, read our detailed Databricks vs. KNIME Business Hub Report (Updated: September 2026).

Buyer's Guide

Databricks vs. KNIME Business Hub

September 2026

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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:

ROI

Sentiment score

6.7

Organizations experience mixed ROI from Databricks, with benefits in efficiency but challenges in converting improvements to monetary returns.

Sentiment score

5.5

KNIME Business Hub enhances ROI through cost-effective data analysis, quick integration, transparent licensing, and improved productivity without increasing staff.

This reduction in both time and money resulted in real-time impact and significant cost savings.

Satyam Wagh

Consultant at Nice Software Solutions

For a lot of different tasks, including machine learning, it is a nice solution.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

When it comes to big data processing, I prefer Databricks over other solutions.

IshwarSukheja

Head CEO at bizmetric

For more quotes and insights, download the Databricks report

Definitely in terms of time reduction and the speed with which data is obtained and delivered to the more business-oriented team that then has to make decisions, these two factors are important indicators.

Filippo Elmino

Data Analyst at Politecnico di Milano

For more quotes and insights, download the KNIME Business Hub report

Customer Service

Sentiment score

7.0

Databricks' customer service has mixed reviews, with high ratings for professionalism but concerns about response times and partner delays.

Sentiment score

6.4

KNIME Business Hub offers fast community-based support, though official documentation and technical assistance are less comprehensive than competitors.

Whenever we reach out, they respond promptly.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

As of now, we are raising issues and they are providing solutions without any problems.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

I would give Databricks customer support a rating of ten.

reviewer2846955

Analista

For more quotes and insights, download the Databricks report

While they cannot always provide immediate answers, they are generally efficient and simplify tasks, especially in the initial phase of learning KNIME.

DanieleGentile

BI Analyst at a photography company with 11-50 employees

My mark for technical support for KNIME Business Hub is about a 7, as most of the support is in the community, and it is quite good because it is open source.

reviewer1515237

Senior Consultant at a tech vendor with 10,001+ employees

I carefully examined KNIME Business Hub resources in terms of videos, tutorials, courses, and documentation, which are very comprehensive.

Filippo Elmino

Data Analyst at Politecnico di Milano

For more quotes and insights, download the KNIME Business Hub report

Scalability Issues

Sentiment score

7.4

Databricks efficiently handles large datasets, leveraging scalable cloud infrastructure, despite cost and configuration concerns, benefiting various industry users.

Sentiment score

6.6

KNIME Business Hub is scalable for large datasets and users, adaptable for enterprise operations, and manageable for growth.

The sky's the limit with Databricks.

SimonRobinson

Governance And Engagement Lead

Databricks offers very good scalability, allowing you to increase or reduce processing resources according to the volume of data and demand.

Diego Pablo

Analista de Dados at Conta Azul

The patches have sometimes caused issues leading to our jobs being paused for about six hours.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

For more quotes and insights, download the Databricks report

KNIME Business Hub scales quite well regarding data volume.

Filippo Elmino

Data Analyst at Politecnico di Milano

For more quotes and insights, download the KNIME Business Hub report

Stability Issues

Sentiment score

7.7

Databricks is highly rated for stability and reliability, with occasional minor issues quickly fixed by support.

Sentiment score

7.6

KNIME Business Hub is stable and efficient for small data, but faces challenges with larger loads and occasional update issues.

They release patches that sometimes break our code.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

Databricks is definitely a very stable product and reliable.

AvivCohen

Data Engineer at a tech vendor with 1,001-5,000 employees

For more quotes and insights, download the Databricks report

For now, KNIME Business Hub is excellent for me and for our team.

NataliaRaffo

Co Founder & Chief Data Officer Cdo at NTT DATA

From 1 to 10, I would rate the stability of KNIME Business Hub quite good, around an 8 or 9.

reviewer1515237

Senior Consultant at a tech vendor with 10,001+ employees

KNIME Business Hub is stable with small connection issues with the company data system.

Filippo Elmino

Data Analyst at Politecnico di Milano

For more quotes and insights, download the KNIME Business Hub report

Room For Improvement

Databricks users seek improved integration, flexible pricing, better interfaces, enhanced tools, and support for various coding languages.

KNIME users want improved data visualization, documentation, interface, platform connectivity, training, pricing, and large dataset management.

Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

For more quotes and insights, download the Databricks report

I would like to see additional functions in KNIME Business Hub that can connect to generative AI, allowing users to describe the workflow for easier workflow generation and creation.

reviewer1515237

Senior Consultant at a tech vendor with 10,001+ employees

When I import this data set in the File Reader node, I have problems with this field because it is a date, but the problem is that it imports it as text.

NataliaRaffo

Co Founder & Chief Data Officer Cdo at NTT DATA

Computer vision is the most important because now there is a new age of large language models and visual language models.

AltanAtabarut1

Director, Channel And Alliances at Basefy

For more quotes and insights, download the KNIME Business Hub report

Setup Cost

Databricks offers tiered, flexible pricing; though sometimes seen as expensive, it can be cost-effective with efficient resource use.

KNIME Business Hub offers cost-effective analytics tools with open-source desktop access and valuable enterprise features for larger organizations.

It is not a cheap solution.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.

SimonRobinson

Governance And Engagement Lead

I have had a very good experience with pricing, as there was a drop in costs compared to the previous tool.

Diego Pablo

Analista de Dados at Conta Azul

For more quotes and insights, download the Databricks report

No quotes available

For more quotes and insights, download the KNIME Business Hub report

Valuable Features

Databricks provides a unified platform with Lakehouse architecture, supporting multiple languages and robust tools for efficient data processing.

KNIME Business Hub excels with its intuitive interface, robust analytics, and integration, enhancing data preparation and problem-solving.

Databricks' capability to process data in parallel enhances data processing speed.

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.

Lax Kas

Data Engineer at CRAFT Tech

For more quotes and insights, download the Databricks report

KNIME Business Hub has had a positive impact on my organization by leading to time savings, as many activities were automated and reduced to a morning check, whether daily or weekly, to verify that all flows had run.

Filippo Elmino

Data Analyst at Politecnico di Milano

KNIME is more intuitive and easier to use, which is the principal advantage.

Ana Toftigues

Student at ISCTE - INSTITUTO UNIVERSITÁRIO DE LISBOA

KNIME is simple and allows for fast project development due to its reusability.

DanieleGentile

BI Analyst at a photography company with 11-50 employees

For more quotes and insights, download the KNIME Business Hub report

Categories and Ranking

Databricks

Ranking in Data Science Platforms

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd), Data Management Platforms (DMP) (3rd), Streaming Analytics (1st)

KNIME Business Hub

Ranking in Data Science Platforms

3rd

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Mining (1st)

Mindshare comparison

As of November 2026, in the Data Science Platforms category, the mindshare of Databricks is 6.5%, down from 12.3% compared to the previous year. The mindshare of KNIME Business Hub is 4.1%, down from 11.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Databricks	6.5%
KNIME Business Hub	4.1%
Other	89.4%

Data Science Platforms

Featured Reviews

SimonRobinson

Governance And Engagement Lead

Improved data governance has enabled sensitive data tracking but cost management still needs work

I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.

Read full review

Filippo Elmino

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.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

10%

Outsourcing Company

Healthcare Company

Financial Services Firm

10%

University

Manufacturing Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	14
Large Enterprise	60

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	16
Large Enterprise	35

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

What needs improvement with KNIME?

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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...

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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...

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Product Reports

Buyer's Guide

Databricks

November 2026

Download Databricks product report

Buyer's Guide

KNIME Business Hub

October 2026

Download KNIME Business Hub product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

KNIME Analytics Platform

Overview

Databricks offers a scalable, versatile platform that integrates seamlessly with Spark and multiple languages, supporting data engineering, machine learning, and analytics in a unified environment.

Databricks stands out for its scalability, ease of use, and powerful integration with Spark, multiple languages, and leading cloud services like Azure and AWS. It provides tools such as the Notebook for collaboration, Delta Lake for efficient data management, and Unity Catalog for data governance. While enhancing data engineering and machine learning workflows, it faces challenges in visualization and third-party integration, with pricing and user interface navigation being common concerns. Despite needing improvements in connectivity and documentation, it remains popular for tasks like real-time processing and data pipeline management.

What features make Databricks unique?

Notebook: Enables collaborative work among team members.
Delta Lake: Optimizes data management operations.
Unity Catalog: Provides governance over data assets.
Cloud Integration: Seamlessly connects with major cloud platforms.

What benefits can users expect from Databricks?

Versatility: Supports diverse applications in data science and engineering.
Performance: Delivers efficient handling of large-scale analytics tasks.
Collaboration: Enhances teamwork in data projects.
Unified Environment: Centralizes machine learning and analytics activities.

In the tech industry, Databricks empowers teams to perform comprehensive data analytics, enabling them to conduct extensive ETL operations, run predictive modeling, and prepare data for SparkML. In retail, it supports real-time data processing and batch streaming, aiding in better decision-making. Enterprises across sectors leverage its capabilities for creating secure APIs and managing data lakes effectively.

Databricks

KNIME Business Hub combines user-friendly and no-code capabilities, supporting workflow automation, data preparation, and ETL processes. It's an excellent choice for both technical and non-technical teams needing efficient data analysis and management.

KNIME Business Hub is designed for those who require seamless integration with R and Python. It supports data visualization, machine learning, and text analytics, enhancing collaboration and workflow sharing. The centralized management system improves productivity and governance. However, users desire better data visualization and integration with popular tools and cloud platforms. Access to comprehensive documentation and training, improved scalability, and better handling of large datasets are noted areas for development. Users frequently employ it for tasks like data extraction, transformation, and automation across SQL databases and Excel.

What are the key features?

User-Friendly Interface: Simplifies complex tasks without coding.
Integration with R and Python: Flexibility in programming options.
Data Visualization: Aids in insightful analysis.
Workflow Automation: Increases operational efficiency.
No-Code Capabilities: Empowers non-technical users to build workflows.

What benefits can users expect?

Enhanced Efficiency: Collaboration features save time.
Improved Governance: Centralized management streamlines processes.
Increased Productivity: Automation accelerates tasks completion.
Simplified Complex Tasks: Extensive library and nodes availability.
Flexibility in Integration: Supports diverse application needs.

KNIME Business Hub sees widespread use in industries such as revenue management, engineering, education, and enterprise-level data analytics. Its visual interface allows teams to design complex workflows easily and deploy models without extensive coding, supporting diverse data processing and analytics tasks.

Knime

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG

Buyer's Guide

Databricks vs. KNIME Business Hub

September 2026

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