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 8.4, while Knime is ranked #5 with an average rating of 8.5. Databricks holds a 6.7% 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 94 Databricks reviews

25,688 Views
9,761 Comparison Views

96% willing to recommend

KNIME Business Hub

Read 66 KNIME Business Hub reviews

9,750 Views
7,410 Comparison Views

94% willing to recommend

Databricks

KNIME Business Hub

Comparison Buyer's Guide

Download the report

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

Download the complete report

Helped 915,287 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:

ROI

Sentiment score

6.6

Databricks enabled significant cost reductions and efficiency improvements, leading to high user satisfaction and impressive ROI compared to other platforms.

Sentiment score

5.5

KNIME Business Hub offers high ROI with low costs, ease of use, and significant savings, enhancing productivity and decision-making.

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 support is generally responsive and proactive, though issues like language barriers and indirect support occasionally occur.

Sentiment score

6.4

KNIME Business Hub benefits from a strong community, offering quick help and valuable tutorials despite limited official resources.

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 is praised for easy scalability and handling large data volumes, despite some cost and technical setup concerns.

Sentiment score

6.6

KNIME Business Hub is scalable, benefiting enterprises, though large datasets challenge desktops; expertise and open-source integrations enhance scalability.

The sky's the limit with Databricks.

SimonRobinson

Governance And Engagement Lead

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

Databricks is an easily scalable platform.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

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 stable and reliable, successfully handling large data volumes, with minor issues mostly self-resolving.

Sentiment score

7.6

KNIME Business Hub is stable with high ratings, occasional performance issues, and an active community for support.

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 requires improved visualization, integration, interface, documentation, pricing, connector capabilities, community resources, support, and automated features.

KNIME Business Hub needs improvements in features, documentation, scalability, integrations, marketing, licensing, and user support for increased engagement.

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 provides a flexible, cost-effective cloud solution integrating with Azure and AWS, though premium features can raise costs.

Enterprise users value KNIME's free desktop version and reasonably priced server features enhancing analytics team productivity.

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

My experience with pricing, implementation costs, and licensing is that it is very efficient and very fast.

reviewer2846955

Analista

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 excels in user-friendly, scalable data management, supporting diverse languages, with strong analytics and governance features in the cloud.

KNIME Business Hub provides intuitive, code-free data processing with ETL, machine learning, and collaboration features for scalable team analytics.

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

5th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Mining (1st)

Mindshare comparison

As of October 2026, in the Data Science Platforms category, the mindshare of Databricks is 6.7%, down from 13.8% compared to the previous year. The mindshare of KNIME Business Hub is 4.1%, down from 11.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Databricks	6.7%
KNIME Business Hub	4.1%
Other	89.2%

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

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

915,287 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

10%

Computer Software Company

Healthcare Company

Financial Services Firm

11%

Manufacturing Company

University

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	60

By reviewers
Company Size	Count
Small Business	22
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?

KNIME Business Hub could be improved by making the user experience more intuitive, especially for users who are new to data analytics. More guided features and documentation would be beneficial.

See all answers

What is your primary use case for KNIME?

I automated the processing of paper-based data by digitalizing scanned documents and creating a KNIME Business Hub workflow that transforms the data into an analysis-ready format, reducing a manual...

See all answers

What advice do you have for others considering KNIME?

My advice to others looking into using KNIME Business Hub would be to start experimenting. Do not be afraid of KNIME Business Hub, even if you do not have a strong programming background. Start wit...

See all answers

Comparisons

Dataiku vs Databricks

Compared 4% of the time

Alteryx vs Databricks

Compared 4% of the time

Palantir Foundry vs Databricks

Compared 3% of the time

Snowflake vs Databricks

Compared 3% of the time

Qlik Talend Cloud vs Databricks

Compared 2% of the time

More Databricks Competitors

Dataiku vs KNIME Business Hub

Compared 8% of the time

Alteryx vs KNIME Business Hub

Compared 7% of the time

Altair RapidMiner vs KNIME Business Hub

Compared 7% of the time

SAS Enterprise Miner vs KNIME Business Hub

Compared 6% of the time

Weka vs KNIME Business Hub

Compared 4% of the time

More KNIME Business Hub Competitors

Product Reports

Buyer's Guide

Databricks

September 2026

Download Databricks product report

Buyer's Guide

KNIME Business Hub

September 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 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

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

Free Report: Databricks vs. KNIME Business Hub

Find out what your peers are saying about Databricks vs. KNIME Business Hub and other solutions. Updated: September 2026.

DOWNLOAD NOW

915,287 professionals have used our research since 2012.

See our Databricks vs. KNIME Business Hub report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.