Dataiku vs Dremio comparison

Dataiku and Dremio are both solutions in the Data Science Platforms category. Dataiku is ranked #6 with an average rating of 8.2, while Dremio is ranked #11 with an average rating of 8.5. Dataiku holds a 9.3% mindshare in Data Science Platforms, compared to Dremio’s 2.6% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 100% of Dremio users who would recommend it.

Dataiku

Read 14 Dataiku reviews

5,570 Views
5,459 Comparison Views

100% willing to recommend

Dremio

Read 11 Dremio reviews

3,339 Views
1,970 Comparison Views

100% willing to recommend

Dataiku

Dremio

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Nov 9, 2025

Dataiku and Dremio compete in the advanced data platforms category, offering users a variety of options for data management. While each has its strengths, Dremio's comprehensive features give it a notable edge.

Features: Dataiku shines with a strong process scheduler, easy cloud process runs, and versatile visual data preparation tools. Its support for languages like Python and R enhances data integration with platforms like BigQuery. Features for automation, team collaboration, and a user-friendly drag-and-drop interface are also praised. Dremio stands out with powerful visualization capabilities, data lineage and providence, and seamless integration with cloud storage. Its dynamic querying and virtualization are top features.

Room for Improvement: Dataiku could improve server uptime, stability in engines like Spark and Hive, and the interface's complexity for non-IT users. Enhancements in collaboration and affordability are also needed. Dremio may benefit from performance stability improvements, expanded integration capabilities, and better data connector support. Users suggest enhancing query abilities, streamlining memory management, addressing persistent bugs, and improving documentation.

Ease of Deployment and Customer Service: Dataiku provides flexible on-premises, private cloud, and hybrid deployment options. Customer service is generally responsive, though technical and billing support varies. Dremio supports diverse cloud models with swift technical support and a strong community, despite noted deployment complexities for community versions.

Pricing and ROI: Dataiku's high pricing suits larger enterprises, competing with solutions like Alteryx. The lack of a consumption-based model affects ROI perceptions. Dremio, also priced at a premium, remains competitive compared to rivals like Snowflake, with positive ROI perceptions and strong support for regulatory compliance.

To learn more, read our detailed Dataiku vs. Dremio Report (Updated: December 2025).

Buyer's Guide

Dataiku vs. Dremio

December 2025

Download the complete report

Helped 879,371 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

6.4

Dataiku's ROI is debated, with benefits in compliance and architecture but concerns over pricing and complex resource management.

Sentiment score

5.6

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

The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.

reviewer1525251

Cognitive Business Operation at a consultancy with 10,001+ employees

In terms of ROI, the use of Dataiku simplifies the architecture of customers, which helps them to decommission some of their existing tools;

Durgesh-Singh

Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees

For more quotes and insights, download the Dataiku report

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

Customer Service

Sentiment score

6.9

Dataiku's customer service is efficient and responsive, with most users satisfied despite occasional assistance and billing concerns.

Sentiment score

5.2

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

Dataiku partners with local industry experts who understand the business better and provide support.

RichardXu

Data Science Lead at a mining and metals company with 10,001+ employees

The support team does not provide adequate assistance.

reviewer1525251

Cognitive Business Operation at a consultancy with 10,001+ employees

As a partner with Dataiku, my experience with them is good; they are supportive, and when we contact them, we receive a quick response.

Durgesh-Singh

Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees

For more quotes and insights, download the Dataiku report

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

Scalability Issues

Sentiment score

6.7

Dataiku is recognized for scalability, effectively used across organizations with some performance concerns and integration benefits.

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 Dataiku report

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

For more quotes and insights, download the Dremio report

Stability Issues

Sentiment score

6.6

Some users find Dataiku stable, while others report issues; stability often depends on resource management and data quality.

Sentiment score

7.2

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

In terms of stabilization, if my data has no outlier creation in the raw data, then it is quite stable.

Ravi-Srivastava

Data Scientist at Ericsson

For more quotes and insights, download the Dataiku report

I rate Dremio a nine in terms of stability.

Corrr Moray

SR BI developer at BRQ Digital Solutions

For more quotes and insights, download the Dremio report

Room For Improvement

Dataiku needs improved server stability, user interface, pricing, and integration with tools, supporting non-IT users and diverse data.

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

Someone who needs to do coding can do it, and someone who does not know coding can also build solutions.

Durgesh-Singh

Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees

The license is very expensive.

Ramon Roman Viñas

Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació

I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend it by developing and integrating custom components easily with existing ones.

reviewer2667285

Big Data Consultant at a computer software company with 1,001-5,000 employees

For more quotes and insights, download the Dataiku report

Starburst comes with around 50 connectors now.

KamleshPant

Senior Software Architect at USEReady

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.

SyedIsmail

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

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.

Corrr Moray

SR BI developer at BRQ Digital Solutions

For more quotes and insights, download the Dremio report

Setup Cost

Dataiku's pricing is considered costly yet competitive, benefiting larger enterprises over smaller businesses due to non-consumption-based fees.

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

There are no extra expenses beyond the existing licensing cost.

Ramon Roman Viñas

Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació

I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies.

reviewer2667285

Big Data Consultant at a computer software company with 1,001-5,000 employees

The pricing for Dataiku is very high, which is its biggest downside.

reviewer1525251

Cognitive Business Operation at a consultancy with 10,001+ employees

For more quotes and insights, download the Dataiku report

No quotes available

For more quotes and insights, download the Dremio report

Valuable Features

Dataiku offers an intuitive interface with robust tools for data preparation, collaboration, automation, and cloud integration, ideal for data science.

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

This feature is useful because it simplifies tasks and eliminates the need for a data scientist.

RichardXu

Data Science Lead at a mining and metals company with 10,001+ employees

Dataiku primarily enhances the speed at which our customers can develop or train their machine learning models because it is a drag-and-drop platform.

reviewer2667285

Big Data Consultant at a computer software company with 1,001-5,000 employees

It offers most of the capabilities required for data science, MLOps, and LLMOps.

reviewer1525251

Cognitive Business Operation at a consultancy with 10,001+ employees

For more quotes and insights, download the Dataiku report

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

SyedIsmail

Senior Consultant - Data Analytics 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

You just get the source, connect the data, get visualization, get connected, and do whatever you want.

KamleshPant

Senior Software Architect at USEReady

For more quotes and insights, download the Dremio report

Categories and Ranking

Dataiku

Ranking in Data Science Platforms

6th

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Dremio

Ranking in Data Science Platforms

11th

Average Rating

8.4

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (5th)

Mindshare comparison

As of December 2025, in the Data Science Platforms category, the mindshare of Dataiku is 9.3%, down from 11.7% compared to the previous year. The mindshare of Dremio is 2.6%, down from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Dataiku	9.3%
Dremio	2.6%
Other	88.1%

Data Science Platforms

Featured Reviews

Durgesh-Singh

Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees

Unified data projects have accelerated development and simplified architecture for higher ROI

I do not see anything that I would improve or enhance in Dataiku at this time; overall, it is a good tool to incorporate and to suggest to customers. Currently, I do not see anything specific that I would include or any functionality that requires enhancement. Dataiku gives the complete picture of the AI universe, and we have not faced any glitches, so I do not have recommendations or suggestions for improvement. All products have room for improvement, and I would like to see their pricing simplified, as it is somewhat complex. In terms of documentation, there is substantial documentation available. Customer support is good, the product is scalable, and it provides flexibility to develop. Someone who needs to do coding can do it, and someone who does not know coding can also build solutions, but the pricing is complex, which I believe should be improved.

Read full review

Corrr Moray

SR BI developer at BRQ Digital Solutions

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

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.

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

879,371 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Manufacturing Company

Computer Software Company

Energy/Utilities Company

Financial Services Firm

27%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	5
Large Enterprise	5

Questions from the Community

What is your experience regarding pricing and costs for Dataiku Data Science Studio?

I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies. However, it is a pricey solution and I primarily recommend it to bigger companies.

See all answers

What needs improvement with Dataiku Data Science Studio?

See all answers

What is your primary use case for Dataiku Data Science Studio?

We are a consulting firm for BFSI customers for the FSI value chain use cases, which is what we use Dataiku for, based on the problem statement the customer comes up with.

See all answers

What do you like most about Dremio?

Dremio allows querying the files I have on my block storage or object storage.

See all answers

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.

See all answers

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, ...

See all answers

Comparisons

Databricks vs Dataiku

Compared 22% of the time

KNIME Business Hub vs Dataiku

Compared 18% of the time

Alteryx vs Dataiku

Compared 12% of the time

Amazon SageMaker vs Dataiku

Compared 9% of the time

Cloudera Data Science Workbench vs Dataiku

Compared 2% of the time

More Dataiku Competitors

Databricks vs Dremio

Compared 35% of the time

Snowflake vs Dremio

Compared 16% of the time

Starburst Enterprise vs Dremio

Compared 7% of the time

Amazon SageMaker vs Dremio

Compared 5% of the time

BigQuery vs Dremio

Compared 4% of the time

More Dremio Competitors

Product Reports

Buyer's Guide

Dataiku

December 2025

Download Dataiku product report

Buyer's Guide

Dremio

December 2025

Download Dremio product report

Also Known As

Dataiku DSS

Dremio AWS - BYOL

Overview

Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

Dataiku

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

Sample Customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto

UBS, TransUnion, Quantium, Daimler, OVH

Buyer's Guide

Dataiku vs. Dremio

December 2025

Free Report: Dataiku vs. Dremio

Find out what your peers are saying about Dataiku vs. Dremio and other solutions. Updated: December 2025.

DOWNLOAD NOW

879,371 professionals have used our research since 2012.

See our Dataiku vs. Dremio 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.