Dataiku vs SAS Enterprise Miner comparison

Dataiku and SAS are both solutions in the Data Science Platforms category. Dataiku is ranked #7 with an average rating of 7.5, while SAS is ranked #18 with an average rating of 8.5. Dataiku holds a 12.1% mindshare in Data Science Platforms, compared to SAS’s 0.7% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

Dataiku

Read 9 Dataiku reviews

7,151 Views
5,935 Comparison Views

100% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

669 Views
543 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: December 2024).

Buyer's Guide

Dataiku vs. SAS Enterprise Miner

December 2024

Download the complete report

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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

7th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Enterprise Miner

Ranking in Data Science Platforms

18th

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Mining (7th)

Mindshare comparison

As of January 2025, in the Data Science Platforms category, the mindshare of Dataiku is 12.1%, up from 7.8% compared to the previous year. The mindshare of SAS Enterprise Miner is 0.7%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Sabrine Bendimerad

Data Scientist at Electricite De France

Saves a lot of time because I can quickly handle all the data preparation tasks and concentrate on building my machine learning algorithms

One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated. While it was theoretically possible to use GitHub with Dataiku, in practice, it was difficult to manage our code effectively and push it from Dataiku to GitHub. Another limitation was its ability to handle different types of data. While Dataiku is powerful for working with structured data, like regular or geospatial data, it struggled with more complex data types such as text and image. In addition to the challenges with GitHub integration, the limited support for diverse data types was another feature lacking at that time.

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reviewer1447110

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

Good technical support but too complex and not open-source

We're using Enterprise Guide simultaneously with Enterprise Miner. From my perspective, I believe that open-source analytics tools are closer to fitting our needs. We prefer open-source options like Anaconda. They offer good support and features. Anaconda also integrates well with Jupyter NET, which is important for us. Overall, on a scale from one to ten, I'd rate the solution at a five. If there were better protocols and wasn't as complex as it is, I'd rate it a bit higher.

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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

"The most valuable feature is the set of visual data preparation tools."

"The advantage is that you can focus on machine learning while having access to what they call 'recipes.' These recipes allow me to preprocess and prepare data without writing any code."

"Traceability is vital since I manage many cohorts, and collaboration is key as I have multiple engineers substituting for one another."

"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."

"Cloud-based process run helps in not keeping the systems on while processes are running."

"Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors."

"The solution is quite stable."

"I rate the overall product as eight out of ten."

More Dataiku pros

"The technical support is very good."

"Good data management and analytics."

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

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

"The solution is very good for data mining or any mining issues."

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

"he solution is scalable."

"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."

More SAS Enterprise Miner pros

Cons

"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."

"The ability to have charts right from the explorer would be an improvement."

"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."

"Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable."

"I think it would help if Data Science Studio added some more features and improved the data model."

"One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated."

"There were stability issues: 1) SQL operations, such as partitioning, had bugs and showed wrong results. 2) Due to server downtime, scheduled processes used to fail. 3) Access to project folders was compromised (privacy issue) with wrong people getting access to confidential project folders."

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

More Dataiku cons

"Technical support could be improved."

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

"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."

"The user interface of the solution needs improvement. It needs to be more visual."

"The solution is much more complex than other options."

"The product must provide better integration with cloud-native technologies."

"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 ease of use can be improved. When you are new it seems a bit complex."

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%

Educational Organization

16%

Manufacturing Company

Computer Software Company

Financial Services Firm

25%

University

14%

Insurance Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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

It is very expensive.

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 use the solution for data science and machine learning.

See all answers

What do you like most about SAS Enterprise Miner?

I like the way the product visually shows the data pipeline.

See all answers

What is your experience regarding pricing and costs for SAS Enterprise Miner?

The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pric...

See all answers

What needs improvement with SAS Enterprise Miner?

The product must provide better integration with cloud-native technologies.

See all answers

Comparisons

Databricks vs Dataiku

Compared 36% of the time

KNIME vs Dataiku

Compared 16% of the time

Alteryx vs Dataiku

Compared 11% of the time

RapidMiner vs Dataiku

Compared 11% of the time

Amazon SageMaker vs Dataiku

Compared 7% of the time

More Dataiku Competitors

SAS Visual Analytics vs SAS Enterprise Miner

Compared 39% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 23% of the time

KNIME vs SAS Enterprise Miner

Compared 17% of the time

RapidMiner vs SAS Enterprise Miner

Compared 11% of the time

Microsoft Azure Machine Learning Studio vs SAS Enterprise Miner

Compared 11% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

Dataiku

January 2025

Download Dataiku product report

Buyer's Guide

Data Mining

December 2024

Download SAS Enterprise Miner product report

Also Known As

Dataiku DSS

Enterprise Miner

Learn More

Dataiku

SAS

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.

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

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

December 2024

Free Report: Dataiku vs. SAS Enterprise Miner

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