Dataiku vs SAS Enterprise Miner comparison

Dataiku and SAS are both solutions in the Data Science Platforms category. Dataiku is ranked #2 with an average rating of 8.2, while SAS is ranked #21. Dataiku holds a 4.8% mindshare in Data Science Platforms, compared to SAS’s 2.1% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

Dataiku

Read 21 Dataiku reviews

7,664 Views
7,511 Comparison Views

100% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

2,341 Views
1,849 Comparison Views

93% willing to recommend

Dataiku

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

SAS Enterprise Miner and Dataiku compete in the data analytics and machine learning category. Dataiku holds an edge with its collaborative and intuitive workflow capabilities.

Features: SAS Enterprise Miner offers advanced statistical and predictive modeling, integration with SAS code for flexibility, and robust data processing capabilities. Dataiku provides a collaborative platform, visual data preparation tools, and compatibility with multiple data sources.

Room for Improvement: SAS Enterprise Miner could enhance user-friendliness and reduce its technical complexity. It would benefit from quicker deployment processes. Dataiku could improve its scalability for larger enterprise needs and offer deeper customization options. Further enhancement of machine learning algorithm options is also desirable.

Ease of Deployment and Customer Service: SAS Enterprise Miner has a steeper learning curve, often leading to longer deployment times but offers excellent technical support. Dataiku facilitates smoother deployment with a focus on user-friendly interfaces and provides comprehensive support and resources for seamless assistance.

Pricing and ROI: SAS Enterprise Miner generally requires a higher initial investment with training and implementation costs, affecting short-term ROI. Dataiku offers flexible pricing and is seen as providing better ROI due to lower setup costs and faster deployment, appealing to businesses seeking quick returns.

To learn more, read our detailed Dataiku vs. SAS Enterprise Miner Report (Updated: June 2026).

Buyer's Guide

Dataiku vs. SAS Enterprise Miner

June 2026

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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:

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

SAS Enterprise Miner

Ranking in Data Science Platforms

21st

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Mining (7th)

Mindshare comparison

As of August 2026, in the Data Science Platforms category, the mindshare of Dataiku is 4.8%, down from 13.0% compared to the previous year. The mindshare of SAS Enterprise Miner is 2.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Dataiku	4.8%
SAS Enterprise Miner	2.1%
Other	93.1%

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.

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reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

A stable product that is easy to deploy and can be used for structured and unstructured data mining

We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

"Using Dataiku has meant that we spend less time on preparing and cleaning data, and we spend less time on blending models together, ultimately meaning that we can spend more time modeling."

"The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction."

"Our clients can easily drag and drop components and use them on the spot."

"Dataiku is really a very intuitive platform that allows you to carry out data projects from end to end, with the opportunity to reuse templates, models, and recipes, which is one of the big advantages of using it."

"I believe the return on investment looks positive."

"Dataiku has positively impacted my organization, specifically in one project where we performed migration from AWS to Dataiku, speeding up the solution by close to 40% and reducing architecture costs by almost 70%, which was a significant benefit and greatly impacted our operations."

"The best feature in Dataiku is that once the data is connected in the underneath layer, it flows exceptionally smoothly if you know how to tweak it."

More Dataiku pros

"I found the ease of use of the solution the most valuable."

"Performance is excellent."

"The most valuable feature is the decision tree creation."

"The setup is straightforward. Deployment doesn't take more than 30 minutes."

"Overall it is a good solution."

"It enables statistical modeling of data using Base SAS (another product from the same vendor) as the backbone."

"SAS internal support is very qualified and if we have any issues, we contact them and trust that they can help."

"Technical support has been good, and when I called them at the start of using the product with some issues they were very helpful."

More SAS Enterprise Miner pros

Cons

"Dataiku is down a lot of times, and we have to wait for sometimes five, ten, or fifteen minutes, after which it gets working again, and during those times, we are unable to get our work done."

"In terms of enhancing collaboration within my team, I would not say Dataiku is the best one because it's so expensive."

"Dataiku's scalability is not one of the best solutions to scale."

"However, I feel that better documentation is necessary."

"The license is very expensive. It would be great to have an intermediate license for basic treatments that do not require extensive experience."

"I would like to have better exclusion of data capability."

"We still encounter some integration issues."

"All products have room for improvement, and I would like to see their pricing simplified, as it is somewhat complex."

More Dataiku cons

"We really don't like the protocols the solution offers. The solution is much more complex than other options."

"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."

"The preparation of both the mining and modeling process could be improved. The solution requires data and will reflect data, but the preparation of the data is not useful for end-users; we ended up having to do the preparation in another tool."

"The initial setup is challenging if doing it for the first time."

"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

"Virtualization could be much better."

"The visualization of the models is not very attractive, so the graphics should be improved."

"Technical support could be improved."

More SAS Enterprise Miner cons

Pricing and Cost Advice

"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."

"Pricing is pretty steep. Dataiku is also not that cheap."

"This solution is for large corporations because not everybody can afford it."

"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."

"The solution must improve its licensing models."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

10%

Computer Software Company

Energy/Utilities Company

Financial Services Firm

19%

Construction Company

13%

Educational Organization

11%

Manufacturing 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	3
Midsize Enterprise	4
Large Enterprise	7

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...

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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

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Product Reports

Buyer's Guide

Dataiku

August 2026

Download Dataiku product report

Buyer's Guide

Data Mining

July 2026

Download SAS Enterprise Miner product report

Also Known As

Dataiku DSS

Enterprise Miner

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

SAS Enterprise Miner enables comprehensive data management and analytics, handling extensive data volumes with diverse algorithms for model creation. Its integration and flexibility in SAS code usage make it suitable for both enterprise and personal use.

SAS Enterprise Miner is recognized for its data pipeline visualization, data processing, and statistical modeling capabilities. Its user-friendly GUI and automation support data mining tasks, decision tree creation, and clustering. However, improvements are needed in its interface visualization, affordability, technical support, and integration with languages like Python and cloud-native tech. Enhanced performance, visualization, and model development auditing, along with text analytics in the main license, are desirable upgrades. Integration with Microsoft SQL and combined offerings remains a priority.

What are SAS Enterprise Miner's most important features?

Data Management: Handles large data volumes efficiently.
Analytics: Integrates diverse algorithms for accurate model creation.
Integration: Supports flexible incorporation of SAS code.
Automation: Enhances data mining tasks through automation.
Clustering: Facilitates extensive clustering operations.

What benefits or ROI should users look for in reviews?

Performance: Delivers remarkable efficiency in data processing tasks.
Compatibility: Seamless integration with other technologies.
Flexibility: Adaptability for enterprise and personal use cases.
User-Friendly: Intuitive GUI aids in simplifying complex tasks.

SAS Enterprise Miner is applied across industries like banking, insurance, and healthcare for data mining, machine learning, and predictive analytics. It aids in activities such as text mining, fraud modeling, and forecasting model creation, handling structured and unstructured data, and performing ad hoc analysis to model business processes and analyze data clusters.

SAS

Sample Customers

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

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

Dataiku vs. SAS Enterprise Miner

June 2026

Free Report: Dataiku vs. SAS Enterprise Miner

Find out what your peers are saying about Dataiku vs. SAS Enterprise Miner and other solutions. Updated: June 2026.

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