Altair RapidMiner vs Dremio comparison

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Altair RapidMiner

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Executive SummaryUpdated on Jun 3, 2026

Altair RapidMiner and Dremio compete in the data analysis and management category. Altair RapidMiner leads in pricing and user satisfaction, while Dremio excels in robust capabilities and comprehensive features, justifying its investment.

Features: Altair RapidMiner offers a powerful data science platform with data preparation, machine learning capabilities, and an intuitive GUI for model deployment. Dremio provides data virtualization, integration capabilities for multiple data sources, and an efficient query system for easy data access and transformation.

Room for Improvement: Altair RapidMiner could enhance integration with more advanced analytics tools and improve real-time data processing. Additionally, expanding community support for advanced generative AI models would be beneficial. Dremio would benefit from simplifying its deployment process and providing more comprehensive user training. Improved integration with more third-party visualization tools and reducing complexity in its federated query system would enhance user experience.

Ease of Deployment and Customer Service: Altair RapidMiner provides an easy-to-deploy platform with responsive service that helps in quick user adaptation and problem resolution. Dremio offers a more detailed deployment process aligning with its data integration capabilities, combined with solid customer support that addresses complex queries effectively.

Pricing and ROI: Altair RapidMiner generally offers an accessible pricing structure, providing favorable ROI due to its straightforward costs and efficiency for data science tasks. Dremio often entails a higher initial investment, yet its advanced features and integration potentials may result in a higher long-term ROI for users that fully leverage its capabilities.

To learn more, read our detailed Altair RapidMiner vs. Dremio Report (Updated: June 2026).

Altair RapidMiner vs. Dremio

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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

8.0

Altair RapidMiner's initial high cost is offset by long-term savings and high ROI, with users appreciating its value.

Sentiment score

5.6

Dremio reduces manpower costs, enhances efficiency, and eliminates infrastructure concerns, improving operations by accessing multiple data sources.

The utilities predictive maintenance return on investment I mentioned, with a twenty percent reduction in unplanned downtime, is the clearest example.

Satesh P

Solution Architect at Hitachi Digital Services

I have seen a return on investment, as the defect reduction and forecast accuracy improvements have tangible financial value, with the scrap reduction alone recovering a significant portion of the platform cost in the first year.

For more quotes and insights, download the Altair RapidMiner report

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

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.

For more quotes and insights, download the Dremio report

SR BI developer at BRQ Digital Solutions

Customer Service

Sentiment score

6.8

Altair RapidMiner's customer service is praised for community resources, though direct support response times can vary.

Sentiment score

5.2

Dremio's customer service is responsive and helpful, facing staffing challenges as demand grows, requiring more integrators for support.

the technical documentation is thorough

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

I have not encountered any problems with Altair RapidMiner technical support.

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Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra

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

For more quotes and insights, download the Dremio report

SR BI developer at BRQ Digital Solutions

Scalability Issues

Sentiment score

6.2

Altair RapidMiner scales efficiently for machine learning, though complex operations may need guidance, with scalability and load balance as key interests.

Sentiment score

7.1

Dremio scales well, offering flexibility and built-in capabilities, though community users face scaling limits due to licensing.

No quotes available

For more quotes and insights, download the Altair RapidMiner report

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

For more quotes and insights, download the Dremio report

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

Stability Issues

Sentiment score

7.3

Altair RapidMiner is celebrated for its stability and reliability, with occasional minor issues, rated 8-9 out of 10.

Sentiment score

7.2

Dremio is generally stable, scoring high ratings with occasional performance issues, especially with large datasets, requiring maintenance restarts.

Altair RapidMiner is a stable product, and it has been smooth to use without any bugs or issues.

Sachin Jagtap

Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees

Altair RapidMiner is stable with no issues of downtime or crashes.

For more quotes and insights, download the Altair RapidMiner report

Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra

I rate Dremio a nine in terms of stability.

For more quotes and insights, download the Dremio report

SR BI developer at BRQ Digital Solutions

Room For Improvement

Altair RapidMiner users desire improved UI, tool integration, pricing, deep learning, documentation, security, automation, and open-source adoption.

Dremio struggles with Delta connector support, performance issues, SQL limitations, high costs, and fewer connectors than competitors.

Graph Studio and knowledge graph capabilities are powerful in theory, but the learning curve is steep.

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

Incorporating generative AI as an AI assistant would be beneficial.

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Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra

It would be beneficial if the platform could suggest suitable AI models and provide more advanced AI features.

Sachin Jagtap

Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees

Starburst comes with around 50 connectors now.

KamleshPant

Senior Software Architect at USEReady

I see that many times the new versions of Dremio have not fixed old bugs, and in some new versions, old problems that were previously fixed come back again, so I think the upgrade part could use improvement.

For more quotes and insights, download the Dremio report

SR BI developer at BRQ Digital Solutions

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

Setup Cost

Altair RapidMiner offers a flexible pricing model, perceived as expensive but more affordable than SAS or SPSS, with educational benefits.

Dremio's pricing, though costly for scaling, is seen as valuable compared to competitors, requiring careful evaluation based on needs.

The licensing model is flexible in the sense that you can apply units across different products.

For more quotes and insights, download the Altair RapidMiner report

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

We are likely to purchase a license, which may offer additional features.

Sachin Jagtap

Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees

No quotes available

For more quotes and insights, download the Dremio report

Valuable Features

Altair RapidMiner simplifies building ML pipelines with no-code workflows, data integration, and seamless Python/R integration for organizations.

Dremio offers efficient data management and visualization with seamless integration, native SQL, and role-based access control features.

Building complete machine learning pipelines, data ingestion, transformation, feature engineering, model training, validation, and deployment in a drag-and-drop visual environment without extensive coding is what makes this accessible to organizations that cannot staff a team of Python developers for every analytics project.

Satesh P

Solution Architect at Hitachi Digital Services

Altair RapidMiner offers several best features, including visual workflow design, which is the foundation of everything, and the ability to build complete end-to-end machine learning pipelines, encompassing data preparation, feature engineering, model training, validation, and deployment.

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

Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding.

For more quotes and insights, download the Altair RapidMiner report

Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra

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

The first feature that stands out for me in Dremio is the federated type of query, which allows the possibility to use multiple endpoints without worrying about writing custom SQL that runs only for SQL Server or for Postgres and Redshift.

For more quotes and insights, download the Dremio report

SR BI developer at BRQ Digital Solutions

Categories and Ranking

Altair RapidMiner

Ranking in Data Science Platforms

10th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Predictive Analytics (5th)

Dremio

Ranking in Data Science Platforms

9th

Average Rating

8.4

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (9th)

Mindshare comparison

As of June 2026, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 3.4%, down from 7.8% compared to the previous year. The mindshare of Dremio is 2.1%, down from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Dremio	2.1%
Altair RapidMiner	3.4%
Other	94.5%

Data Science Platforms

Featured Reviews

Satesh P

Solution Architect at Hitachi Digital Services

Visual workflows have empowered teams to build and deploy reliable predictive maintenance models

The best features Altair RapidMiner offers in my experience are the visual workflow designer in AI Studio, which is the foundation of everything. Building complete machine learning pipelines, data ingestion, transformation, feature engineering, model training, validation, and deployment in a drag-and-drop visual environment without extensive coding is what makes this accessible to organizations that cannot staff a team of Python developers for every analytics project. That capability opens the door.Auto Model is the feature I lean on most when doing rapid prototyping with clients. It evaluates multiple algorithms automatically, surfaces the best-performing model for the data, and explains why. That dramatically compresses the experimentation phase. What would take a data scientist days of manual testing, Auto Model does in an hour.

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Has simplified complex data integration workflows and supported consistent reporting across multiple sources

SR BI developer at BRQ Digital Solutions

We also have a close relationship with the team that does the Dremio maintenance for the database, like upgrading the versions and they know about some specific problems we had in the past, such as a memory leak. We had a memory leak on some versions, which sometimes stopped the service. Since we are using Dremio installed like a server, not a SaaS solution, many times we need to stop and restart the service to clear all the cache and all that, and this is the thing I should add. I see that many times the new versions of Dremio have not fixed old bugs, and in some new versions, old problems that were previously fixed come back again, so I think the upgrade part could use improvement. I remember using some features in the past, like pivot tables, which proved to be really difficult, but I know this is a fault also for other vendors. Pivoting, transposing, and unpivoting are often not so good. CTEs also many times prove to be not so good, so I think these two main items could be improved significantly if they standardize them.

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Top Industries

By visitors reading reviews

Manufacturing Company

12%

Financial Services Firm

11%

University

Computer Software Company

Financial Services Firm

26%

Computer Software Company

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	10

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	5
Large Enterprise	5

Questions from the Community

What is your experience regarding pricing and costs for RapidMiner?

My experience with pricing, setup cost, and licensing shows that the licensing model is based on Altair Units, which is their shared token-based system across their product portfolio and is flexibl...

What needs improvement with RapidMiner?

Altair RapidMiner can be improved by enhancing the newer GenAI features, which are interesting but honestly still quite early, and the documentation does not yet match the ambition of what they are...

What is your primary use case for RapidMiner?

My main use case for Altair RapidMiner is predictive quality analysis on the manufacturing site, as Wagner Spraytech manufactures spray finishing equipment and we generate a significant amount of o...

What is your experience regarding pricing and costs for Dremio?

I don't have information about pricing, setup cost, and licensing for Dremio, so I am not entitled to discuss it.

What needs improvement with Dremio?

I wouldn't say there is anything Dremio can be improved on. If I could change something, I would say many developers and programmers, when they are starting to work in this specific field or area, ...

What is your primary use case for Dremio?

I have been using Dremio for a year and a half. My main use case for Dremio is that I am able to access multiple databases and I can easily and quickly connect Dremio with my dashboards. In my rece...

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Product Reports

Altair RapidMiner

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Also Known As

No data available

Dremio AWS - BYOL

Overview

Altair RapidMiner is a GUI-driven, code-free data science tool ideal for users seeking efficiency and user-friendliness, featuring automated data cleaning and versatile model support for diverse tasks.

Altair RapidMiner offers an accessible platform with drag-and-drop functionality, supporting multiple file formats to streamline data science workflows. It enables quick prototyping and integrates with APIs, Python, and R, enhancing user flexibility. Comprehensive documentation and tutorials support learning, while features like model fine-tuning and predictive analytics cater to advanced analysis. Enhancements in automation and deep learning, alongside improvements in data service integration and metadata handling, remain a focus for development.

What are the key features of Altair RapidMiner?

Code-Free Interface: Simplifies data science with GUI support.
Drag-and-Drop Functionality: Streamlines process setup.
Automated Data Cleaning: Saves time in data preparation.
Machine Learning Algorithms: Supports a wide range for various tasks.
API & Python/R Integration: Enhances flexibility for data projects.
Tutorials & Documentation: Provides robust learning resources.

What benefits and ROI can users expect?

Efficiency: Reduces time spent on data processing.
Flexibility: Offers adaptable integration options.
Scalability: Suited for both educational and business environments.
Usability: User-friendly interface encourages wider adoption.
Predictive Capabilities: Empowers advanced business analytics.

Industries such as telecom and finance utilize Altair RapidMiner for tasks like data preparation and forecasting. Universities employ it for education and research projects, while businesses apply it to areas such as financial crime management and market analysis. It assists companies in predicting customer behavior and analyzing pharmaceutical data, allowing seamless integration with other systems.

Altair

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.

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

UBS, TransUnion, Quantium, Daimler, OVH

Altair RapidMiner vs. Dremio