Dataiku vs Microsoft Azure Machine Learning Studio comparison

Dataiku and Microsoft are both solutions in the Data Science Platforms category. Dataiku is ranked #2 with an average rating of 8.1, while Microsoft is ranked #7 with an average rating of 8.1. Dataiku holds a 5.6% mindshare in Data Science Platforms, compared to Microsoft’s 3.0% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

Dataiku

Read 21 Dataiku reviews

6,883 Views
6,745 Comparison Views

100% willing to recommend

Microsoft Azure Machine Lea...

Read 62 Microsoft Azure Machine Learning Studio reviews

6,322 Views
3,224 Comparison Views

93% willing to recommend

Dataiku

Microsoft Azure Machine Lea...

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 5, 2024

Microsoft Azure Machine Learning Studio and Dataiku compete in the machine learning platform category. Azure appears to have the upper hand because of its advanced drag-and-drop interface and cognitive service integration.

Features: Azure Machine Learning Studio offers an intuitive design with drag-and-drop functionality, integration of cognitive services, and a wide range of algorithms for easy data visualization. Dataiku is known for its strong data preparation tools, visual flows, and coding flexibility, ideal for users with programming skills.

Room for Improvement: Azure could benefit from improved model prediction, broader integrations outside of Microsoft's ecosystem, more algorithm options, and better pricing transparency. Dataiku needs enhanced collaboration features, support for a wider range of data types, and stronger integration with development tools like GitHub, alongside improvements in interface accessibility and data management.

Ease of Deployment and Customer Service: Azure Machine Learning Studio is predominantly cloud-based, suitable for remote and large-scale deployments, though first-line support experiences vary. Dataiku mainly operates on-premises, appealing to organizations favoring in-house data management, and is recognized for delivering satisfactory customer service, though technical support varies.

Pricing and ROI: Azure offers flexible pricing through pay-per-use and subscription models, but costs can escalate with increased data use, and some find the licensing complex. It is typically viewed as reasonably priced compared to alternatives. Dataiku's pricing is high but generally less than competitors like Alteryx, with both platforms considered to provide a good return on investment when data sets are used effectively.

To learn more, read our detailed Dataiku vs. Microsoft Azure Machine Learning Studio Report (Updated: April 2026).

Buyer's Guide

Dataiku vs. Microsoft Azure Machine Learning Studio

April 2026

Download the complete report

Helped 893,164 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

4.9

Dataiku streamlines cross-functional projects for data scientists, enhancing compliance and suggesting a shift to consumption-based pricing.

Sentiment score

7.0

Microsoft Azure Machine Learning Studio improves efficiency with a 36% ROI, offering streamlined processes and comprehensive solutions.

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

I consider the return on investment with Dataiku valuable because for us, it is one single platform where all our data scientists come together and work on any model building, so it is collaboration, plus having everything in one place, organized, having proper project management, and then built-in capabilities which help to facilitate model building.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

It is a good return on investment since it helps save a lot of time, and it's easy for my teammates to work cross-functionally on the same project.

reviewer2811273

Data Scientist at a tech vendor with 51-200 employees

For more quotes and insights, download the Dataiku report

I have seen a return on investment from using Microsoft Azure Machine Learning Studio in terms of workload reduction, as we now complete the same projects with two people instead of five.

reviewer2722962

Data Scientist

For more quotes and insights, download the Microsoft Azure Machine Learning Studio report

Customer Service

Sentiment score

5.3

Dataiku customer service offers quick responses and varying support experiences, with local partnerships aiding in industry-specific assistance.

Sentiment score

7.2

Microsoft Azure Machine Learning Studio offers responsive support, but small clients suggest faster responses and improved escalation processes.

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

They should not take the complaints so lightly.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

For more quotes and insights, download the Dataiku report

The customer support for Microsoft Azure Machine Learning Studio is quite responsive across different channels, making it a cool experience.

reviewer2722962

Data Scientist

Microsoft technical support is rated a seven out of ten.

Serhii_Arkhipov

Solution Sales Specialist at Intent Solutions Group

For more quotes and insights, download the Microsoft Azure Machine Learning Studio report

Scalability Issues

Sentiment score

5.8

Dataiku offers scalable solutions with cloud integration, supporting expansion and seamless team adaptation, despite minor performance concerns with large data.

Sentiment score

7.4

Microsoft Azure Machine Learning Studio is praised for its scalability, flexibility, and efficient cloud-based capabilities, with high user satisfaction.

Dataiku is quite scalable, as long as I can pay for more licenses, there is no technical limitation.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

Dataiku's scalability is pretty good; I can scale the projects very easily, and clear guidance is given as well.

Manikya Arora

Solution Architect at a pharma/biotech company with 10,001+ employees

For more quotes and insights, download the Dataiku report

Microsoft Azure Machine Learning Studio is scalable as I can choose the compute, making it flexible for various scales.

reviewer2214366

Data Engineer at a educational organization with 201-500 employees

We are building Azure Machine Learning Studio as a scalable solution.

reviewer2116086

Senior Developer at a financial services firm with 10,001+ employees

Microsoft Azure Machine Learning Studio's scalability has been beneficial, as I could increase my compute resources when needing more data injection.

reviewer2722962

Data Scientist

For more quotes and insights, download the Microsoft Azure Machine Learning Studio report

Stability Issues

Sentiment score

6.9

Dataiku is stable for most users, though some experience issues with complex tasks, updates, and data quality variations.

Sentiment score

7.8

Microsoft Azure Machine Learning Studio is stable, reliable, with occasional JavaScript issues, suitable for non-production environments.

It would help if there was a backup proposition in place to avoid hampering our work due to updates.

Shubhamkumar Gomar

Senior Data Scientist at Deloitte

For around ten percent of the day, it is usually down, and we are unable to do work on it.

reviewer2811273

Data Scientist at a tech vendor with 51-200 employees

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

Microsoft Azure Machine Learning Studio is stable;

reviewer2722962

Data Scientist

For more quotes and insights, download the Microsoft Azure Machine Learning Studio report

Room For Improvement

Dataiku faces challenges like high cost, complex interface, and limited support, requiring improvements in integration, visualization, and documentation.

Users seek improved usability, algorithm variety, support, pricing, integration, deep learning modules, and better data preparation in Azure ML Studio.

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

It would be beneficial for them to incorporate more services required for LLMs or LLM evaluation.

reviewer2214366

Data Engineer at a educational organization with 201-500 employees

I find the pricing to be not a good story in this case, as it is not affordable for everyone.

Serhii_Arkhipov

Solution Sales Specialist at Intent Solutions Group

In future updates, I would appreciate improvements in integration and more AI features.

Takayuki Umehara

Public Cloud at KDDI Corporation

For more quotes and insights, download the Microsoft Azure Machine Learning Studio report

Setup Cost

Dataiku's pricing is high and varies, with enterprise expense concerns, yet it's relatively affordable for large companies.

Microsoft Azure's pricing is seen as reasonable, though complexities and potential high costs require careful management.

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

I rate the pricing as three or four on a scale of one to ten in terms of affordability.

Serhii_Arkhipov

Solution Sales Specialist at Intent Solutions Group

The pricing for Microsoft Azure Machine Learning Studio is reasonable since it's pay as you go.

reviewer2722962

Data Scientist

For more quotes and insights, download the Microsoft Azure Machine Learning Studio report

Valuable Features

Dataiku offers intuitive tools for data preparation and integration, supporting collaboration, scalability, and efficiency for diverse teams.

Microsoft Azure Machine Learning Studio is user-friendly, scalable, integrates with Azure, supports AutoML, and accommodates all skill levels.

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

The platform provides managed services and compute, and I have more control in Azure, even in terms of monitoring services.

reviewer2214366

Data Engineer at a educational organization with 201-500 employees

Microsoft Azure Machine Learning Studio is a powerful platform for those already in the Azure ecosystem because it allows for scalability and provides a good environment for reproducibility, as well as collaboration tools, all designed and packaged in one place, which makes it outstanding.

reviewer2722962

Data Scientist

Azure Machine Learning Studio provides a platform to integrate with large language models.

reviewer2116086

Senior Developer at a financial services firm with 10,001+ employees

For more quotes and insights, download the Microsoft Azure Machine Learning Studio report

Categories and Ranking

Dataiku

Ranking in Data Science Platforms

2nd

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Microsoft Azure Machine Lea...

Ranking in Data Science Platforms

7th

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (5th)

Mindshare comparison

As of May 2026, in the Data Science Platforms category, the mindshare of Dataiku is 5.6%, down from 12.8% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 3.0%, down from 5.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Dataiku	5.6%
Microsoft Azure Machine Learning Studio	3.0%
Other	91.4%

Data Science Platforms

Featured Reviews

Shubhamkumar Gomar

Senior Data Scientist at Deloitte

Visual workflows have streamlined healthcare analytics and have reduced reporting time significantly

In terms of improvement, I cannot comment on the LLMs or the agentic view as I have not used them yet. However, I feel that better documentation is necessary. Dataiku should establish a stronger community since this is proprietary software, where users can share knowledge. Although they have some community interaction, it is often challenging to find assistance when stuck. For example, when I was new to Dataiku and trying to use an external optimization tool such as CPLEX, I struggled with resource directory linking to a project's notebook. Detailed documentation and community discussions could have significantly alleviated these issues for users such as myself.

Read full review

reviewer2722962

Data Scientist

Platform accelerates model development, enhances collaboration, and offers efficient deployment

The best features Microsoft Azure Machine Learning Studio offers include deep integration with Python notebooks and Azure Data Lake, which allows me to import external data, and through the pipeline, I can build my models, performing what is called data injection for my model building, making that deep integration quite interesting to use. Microsoft Azure Machine Learning Studio is a powerful platform for those already in the Azure ecosystem because it allows for scalability and provides a good environment for reproducibility, as well as collaboration tools, all designed and packaged in one place, which makes it outstanding. Microsoft Azure Machine Learning Studio has positively impacted my organization by reducing our project delivery times and increasing the pace at which we work, allowing us to focus on other more important tasks. Using Microsoft Azure Machine Learning Studio has reduced our model development time from approximately four hours to about two hours.

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

893,164 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

Computer Software Company

Energy/Utilities Company

Financial Services Firm

13%

Manufacturing Company

Performing Arts

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	2
Large Enterprise	13

By reviewers
Company Size	Count
Small Business	23
Midsize Enterprise	6
Large Enterprise	30

Questions from the Community

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

The licenses are a bit high for companies that are still hesitating to get started with using Dataiku. For my personal projects, I used the thirty-day free trial. Regarding my company, I did not ha...

See all answers

What needs improvement with Dataiku Data Science Studio?

I have no suggestions for improvements because it's all good; it just sometimes lags a lot, and I don't know if the server is full or what, but it sometimes takes a lot of time while loading and re...

See all answers

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

My main use case for Dataiku involves ETL pipelines, mainly for data analysis, and I majorly use SQL queries for that. For ETL pipelines and data analysis, I had to create the output by combining a...

See all answers

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

What do you like most about Microsoft Azure Machine Learning Studio?

The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem.

See all answers

What is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?

The pricing for Microsoft Azure Machine Learning Studio is reasonable since it's pay as you go, meaning it won't cost excessively unless specific resources are used.

See all answers

Comparisons

Databricks vs Dataiku

Compared 20% of the time

KNIME Business Hub vs Dataiku

Compared 11% of the time

Alteryx vs Dataiku

Compared 11% of the time

Altair RapidMiner vs Dataiku

Compared 5% of the time

H2O.ai vs Dataiku

Compared 3% of the time

More Dataiku Competitors

Gemini Enterprise Agent Platform vs Microsoft Azure Machine Learning Studio

Compared 14% of the time

KNIME Business Hub vs Microsoft Azure Machine Learning Studio

Compared 9% of the time

Databricks vs Microsoft Azure Machine Learning Studio

Compared 7% of the time

TensorFlow vs Microsoft Azure Machine Learning Studio

Compared 4% of the time

IBM Watson Studio vs Microsoft Azure Machine Learning Studio

Compared 3% of the time

More Microsoft Azure Machine Learning Studio Competitors

Product Reports

Buyer's Guide

Dataiku

May 2026

Download Dataiku product report

Buyer's Guide

Microsoft Azure Machine Learning Studio

April 2026

Microsoft Azure Machine Learning Studio report

Download Microsoft Azure Machine Learning Studio product report

Also Known As

Dataiku DSS

Azure Machine Learning, MS Azure Machine Learning Studio

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

Microsoft Azure Machine Learning Studio offers a drag-and-drop interface, seamless integration with tools, and compatibility with multiple programming languages, making it user-friendly and efficient for developing and deploying machine-learning models.

This platform supports Python, R, and more, with automation features like AutoML, scalable resources, and cognitive services enhance data normalization and deployment. Users can easily create models, integrate with Azure services, and accelerate data science projects using its comprehensive library. Despite its benefits, improvements are suggested for cross-platform integration, enhanced data preparation, and clearer pricing strategies. Users also look for better deployment flexibility, more algorithm options, and examples. Expanded AI features, increased accessibility, and DevOps integration would further benefit its users.

What are the main features of Microsoft Azure Machine Learning Studio?

Drag-and-Drop Interface: Simplifies model creation and experimentation.
Integration with Tools: Works seamlessly with Azure services.
Compatibility with Languages: Supports Python, R, among others.
AutoML: Automates machine learning processes.
Scalable Resources: Provides adaptability in modeling.
Cognitive Services: Enhances data processing capabilities.

What benefits and ROI should users look for?

User-Friendly Design: Encourages accessibility for non-experts.
Seamless Deployment: Eases transition from model development to deployment.
Comprehensive Library: Accelerates data science processes.
Predictive Analytics: Aids in forecasting trends and behaviors.
Fraud Detection: Enhances security measures effectively.

In healthcare, finance, and retail, users apply Microsoft Azure Machine Learning Studio for developing machine learning models, predictive analytics, and deploying models efficiently. Its low-code interface supports experimentation for customer behavior prediction, data analytics, fraud detection, and automated machine learning, facilitating their business and research applications.

Microsoft

Sample Customers

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

Walgreens Boots Alliance, Schneider Electric, BP

Buyer's Guide

Dataiku vs. Microsoft Azure Machine Learning Studio

April 2026

Free Report: Dataiku vs. Microsoft Azure Machine Learning Studio

Find out what your peers are saying about Dataiku vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: April 2026.

DOWNLOAD NOW

893,164 professionals have used our research since 2012.

See our Dataiku vs. Microsoft Azure Machine Learning Studio 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.