Dremio vs KNIME Business Hub comparison

Why PeerSpot?

Dremio and Knime are both solutions in the Data Science Platforms category. Dremio is ranked #9 with an average rating of 8.1, while Knime is ranked #3 with an average rating of 8.5. Dremio holds a 2.0% mindshare in Data Science Platforms, compared to Knime’s 4.1% mindshare. Additionally, 100% of Dremio users are willing to recommend the solution, compared to 94% of Knime users who would recommend it.

Dremio

Read 14 Dremio reviews

4,948 Views
2,523 Comparison Views

100% willing to recommend

KNIME Business Hub

Read 65 KNIME Business Hub reviews

9,934 Views
7,649 Comparison Views

94% willing to recommend

Dremio

KNIME Business Hub

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jun 3, 2026

KNIME Business Hub and Dremio compete in the data analytics and management software category. KNIME appears to have the upper hand due to its flexibility and beginner-friendly no-code interface, making it suitable for a broader range of users.

Features: KNIME Business Hub offers tools for ETL processes, integration with multiple languages, and a comprehensive algorithm library, catering to both beginners and advanced users. Its no-code interface is a significant advantage. Dremio provides a unified platform for data lakes, excellent data lineage, and reflection features, enabling seamless connections with diverse data sources. Its strength lies in integrated data management capabilities.

Room for Improvement: KNIME could enhance data visualization, support for large datasets, and documentation. Users report performance issues with large data volumes and a steep learning curve. Dremio faces challenges with execution speed on large queries, limits in connectors, and complex integration with platforms like Databricks. Improvement in memory management and documentation is needed.

Ease of Deployment and Customer Service: KNIME Business Hub offers flexibility in deployment options, including on-premises and cloud scenarios. Dremio excels in deploying across public and hybrid clouds, favorable for modern data environments. Both have strong community support, but Dremio has better professional support and documentation. KNIME, being open-source, has less formal technical support but benefits from an active community.

Pricing and ROI: KNIME is cost-effective with a free open-source desktop version, appealing to small teams and academic users. The enterprise version offers scalability at a higher price. Dremio, although pricier, provides significant ROI through robust data management and processing capabilities, making it suitable for larger enterprises. Both offer substantial ROI, though KNIME's entry cost is lower, appealing to budget-conscious users.

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

Buyer's Guide

Dremio vs. KNIME Business Hub

September 2026

Download the complete report

Helped 920,939 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

4.0

Dremio offers cost savings and efficiency by reducing infrastructure needs and simplifying data source integration on data lakes.

Sentiment score

5.5

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

Dremio surely saves time, reduces costs, and all those things because we don't have to worry so much about the infrastructure to make the different tools communicate.

Corrr Moray

SR BI developer at BRQ Digital Solutions

For more quotes and insights, download the Dremio 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

6.1

Dremio's customer service is highly praised for responsiveness, with Gold plan users enjoying positive interactions despite some limitations.

Sentiment score

6.4

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

I would rate customer support a ten out of ten.

reviewer2913786

Director

Baptiste Bergelin

Data Architect at a consultancy with 51-200 employees

We have had to reach out for customer support many times, and they respond, so they are pretty supportive about some long-term issues.

Corrr Moray

SR BI developer at BRQ Digital Solutions

For more quotes and insights, download the Dremio 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

7.3

Dremio's scalability excels, with user-configurable auto-scaling on Kubernetes/Docker, meeting large-scale needs, but some features require licensing.

Sentiment score

6.6

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

Dremio's scalability can handle growing data and user demands easily.

Corrr Moray

SR BI developer at BRQ Digital Solutions

Internally, if it's on Docker or Kubernetes, scalability will be built into the system.

KamleshPant

Senior Software Architect at USEReady

Dremio's scalability depends on your hardware and your deployment.

reviewer2913786

Director

For more quotes and insights, download the Dremio 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

7.2

Dremio users report stable performance overall, despite occasional memory leaks, scalability issues, and the need for frequent monitoring.

Sentiment score

7.6

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

I rate Dremio a nine in terms of stability.

Corrr Moray

SR BI developer at BRQ Digital Solutions

We refactored the query, and that worked, but it still doesn't make you confident to go to production with a product that might crash depending on the query you send it.

Baptiste Bergelin

Data Architect at a consultancy with 51-200 employees

For more quotes and insights, download the Dremio 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

Dremio users face issues with performance, connectors, learning curve, and desire better integration and schema flexibility.

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

Starburst comes with around 50 connectors now.

KamleshPant

Senior Software Architect at USEReady

Before we wrap up, I want to add that Dremio is lacking a semantic layer in a manner that the user can just choose dimensions, metrics, and filters to query the data.

reviewer2913786

Director

It should be easier to get Arctic or an open-source version of Arctic onto the software version so that development teams can experiment with it.

reviewer2769915

Data Consultant at a comms service provider with 201-500 employees

For more quotes and insights, download the Dremio 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

Dremio offers cost-effectiveness but licensing is costly, leading some users to prefer the community version for scalability.

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

I chose eight out of ten because Dremio is expensive for the Enterprise version, particularly regarding licensing.

Burak Uğur

Data Engineer at a tech services company with 201-500 employees

I had a good experience with pricing, as the pricing seems okay to me and the client.

reviewer2913786

Director

Dremio does have a core of the engine that is open-source, but all the important features for the enterprise version are under license.

Baptiste Bergelin

Data Architect at a consultancy with 51-200 employees

For more quotes and insights, download the Dremio report

No quotes available

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

Valuable Features

Dremio excels in data virtualization, federated queries, and integration, enhancing data management and access with efficient tools.

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

Having everything under one system and an easier-to-work-with interface, along with having API integrations, adds significant value to working with Dremio.

reviewer2769915

Data Consultant at a comms service provider with 201-500 employees

Dremio has positively impacted my organization as nowadays we are connected to multiple databases from multiple environments, multiple APIs, and applications, and Dremio organizes everything in an amazing way for me.

Joao Silveira

Data Analyst at a insurance company with 501-1,000 employees

Multiple data sources can be queried in one query, and it is not just a query engine.

Burak Uğur

Data Engineer at a tech services company with 201-500 employees

For more quotes and insights, download the Dremio 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

Dremio

Ranking in Data Science Platforms

9th

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (10th)

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 Dremio is 2.0%, down from 2.9% 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 (%)
KNIME Business Hub	4.1%
Dremio	2.0%
Other	93.9%

Data Science Platforms

Featured Reviews

Baptiste Bergelin

Data Architect at a consultancy with 51-200 employees

Data platform has unified diverse sources for mesh use but has needed query cache tuning

We contact the technical support at least weekly; currently, it's more or less daily because we face performance issues, crashes of queries sometimes, and we also need support for configuration of the query engines and so on. We are using the support extensively, and we are under a Gold support plan. The quality and speed of the support are satisfactory. Sometimes it depends on which support engineer is taking up the case, but very often it's quite responsive, reactive, coherent, and the response is of good quality. I would give the support an eight on a scale from one to ten, with ten being the highest.

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

920,939 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Outsourcing Company

Comms Service Provider

Manufacturing 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	3
Midsize Enterprise	6
Large Enterprise	5

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

Questions from the Community

What is your experience regarding pricing and costs for Dremio?

I chose eight out of ten because Dremio is expensive for the Enterprise version, particularly regarding licensing.

See all answers

What needs improvement with Dremio?

I think Dremio can be improved to query faster than multiple sources and big data lakehouses. The community version could be updated for new data catalog connections. I think the documentation is s...

See all answers

What is your primary use case for Dremio?

I have been using Dremio to select multiple data sources, retrieve multiple data sources, and create and maintain Iceberg tables for the data lakehouse. My main use case for Dremio is to actively c...

See all answers

What needs improvement with KNIME?

See all answers

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...

See all answers

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...

See all answers

Comparisons

Databricks vs Dremio

Compared 14% of the time

Snowflake vs Dremio

Compared 12% of the time

BigQuery vs Dremio

Compared 4% of the time

Starburst Enterprise vs Dremio

Compared 3% of the time

Dataiku vs Dremio

Compared 3% of the time

More Dremio Competitors

Databricks vs KNIME Business Hub

Compared 8% of the time

Altair RapidMiner vs KNIME Business Hub

Compared 7% of the time

Alteryx One vs KNIME Business Hub

Compared 7% of the time

Dataiku vs KNIME Business Hub

Compared 7% of the time

SAS Enterprise Miner vs KNIME Business Hub

Compared 6% of the time

More KNIME Business Hub Competitors

Product Reports

Buyer's Guide

Dremio

November 2026

Download Dremio product report

Buyer's Guide

KNIME Business Hub

October 2026

Download KNIME Business Hub product report

Also Known As

Dremio AWS - BYOL

KNIME Analytics Platform

Overview

Dremio offers a comprehensive platform for data warehousing and data engineering, integrating seamlessly with data storage systems like Amazon S3 and Azure. Its main features include scalability, query federation, and data reflection.

Dremio's core strength lies in its ability to function as a robust data lake query engine and data warehousing solution. It facilitates the creation of complex queries with ease, thanks to its support for Apache Airflow and query federation across endpoints. Despite challenges with Delta connector support, complex query execution, and expensive licensing, users find it valuable for managing ad-hoc queries and financial data analytics. The platform aids in SQL table management and BI traffic visualization while reducing storage costs and resolving storage conflicts typical in traditional data warehouses.

What are Dremio's most valuable features?

Native Error Interfaces: Simplifies error detection and troubleshooting
Integration with Apache Airflow: Enhances workflow automation capabilities
Scalability: Effortlessly handles growing data demands
Role-Based Access Management: Provides secure data access control
Data Reflection: Optimizes query performance automatically
Query Federation: Supports queries across multiple endpoints seamlessly
Data Cataloging and Virtualization: Offers streamlined data organization

What benefits and ROI should users look for?

Reduced Data Storage Costs: Efficiently manages data to minimize storage expenses
Improved Query Performance: Enhances processing speed for large datasets
Flexibility in Integration: Easily connects with storage solutions like Oracle and MySQL
Enhanced Data Management: Supports comprehensive data analysis workflows

Dremio is primarily implemented in industries requiring extensive data engineering and analytics, including finance and technology. Companies use it for constructing data frameworks, efficiently processing financial analytics, and visualizing BI traffic. It acts as a viable alternative to AWS Glue and Apache Hive, integrating seamlessly with multiple databases, including Oracle and MySQL, offering robust solutions for data-driven strategies. Despite some challenges, its ability to reduce data storage costs and manage complex queries makes it a favorable choice among enterprise users.

Dremio

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

UBS, TransUnion, Quantium, Daimler, OVH

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

Buyer's Guide

Dremio vs. KNIME Business Hub

September 2026

Free Report: Dremio vs. KNIME Business Hub

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

DOWNLOAD NOW

920,939 professionals have used our research since 2012.

See our Dremio 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.