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Dataiku vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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
5.0
Dataiku enhances efficiency, compliance, collaboration, and development speed, though financial benefits remain unclear without a pricing change.
Sentiment score
6.3
Organizations saw varied ROI from SAS Visual Analytics, noting improved efficiency and financial tracking despite initial cost challenges.
The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.
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.
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.
Data Scientist at a tech vendor with 51-200 employees
The enterprise subscription offers more benefits, ensuring valuable outcomes.
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
 

Customer Service

Sentiment score
5.4
Dataiku's customer service is praised for responsiveness and expertise but criticized for inconsistency and slow issue resolution.
Sentiment score
6.8
SAS Visual Analytics customer service is mixed, with praise for technical support but noted gaps in business needs and regional availability.
Dataiku partners with local industry experts who understand the business better and provide support.
Data Science Lead at a mining and metals company with 10,001+ employees
The support team does not provide adequate assistance.
Cognitive Business Operation at a consultancy with 10,001+ employees
They should not take the complaints so lightly.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
They provide callbacks to ensure clarity and resolution of any queries.
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
 

Scalability Issues

Sentiment score
5.6
Dataiku is scalable, integrates with cloud platforms, but some users find room for improvement and are concerned about licensing costs.
Sentiment score
7.8
SAS Visual Analytics effectively scales for large datasets and users, though high resource demands and expenses may concern some.
Dataiku is quite scalable, as long as I can pay for more licenses, there is no technical limitation.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
 

Stability Issues

Sentiment score
6.7
Opinions on Dataiku's stability vary, with some reporting issues, while others find it stable under proper management.
Sentiment score
7.1
SAS Visual Analytics is generally reliable but can face performance issues with large data, often due to user practices.
It would help if there was a backup proposition in place to avoid hampering our work due to updates.
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.
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.
Data Scientist at Ericsson
SAS Visual Analytics is stable and manages data effectively without crashing.
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
 

Room For Improvement

Dataiku needs improvements in stability, usability, integration, cost-efficiency, and features for smaller teams and non-IT users.
SAS Visual Analytics is complex and costly, with challenges in integration, performance, user-friendliness, and external language support.
Someone who needs to do coding can do it, and someone who does not know coding can also build solutions.
Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees
The license is very expensive.
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.
Big Data Consultant at a computer software company with 1,001-5,000 employees
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
 

Setup Cost

Dataiku's pricing ranges from €20 to €40 annually per key, seen as affordable or expensive depending on budgets.
SAS Visual Analytics is costly for small enterprises, but offers strong analytics and simplicity, though consulting and scaling add expenses.
There are no extra expenses beyond the existing licensing cost.
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.
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.
Cognitive Business Operation at a consultancy with 10,001+ employees
 

Valuable Features

Dataiku enhances workflows with visual tools, supports multiple languages, and integrates easily with cloud platforms for efficient data management.
SAS Visual Analytics excels in data visualization, advanced analytics, and user-friendly interface with rapid processing and seamless integration.
This feature is useful because it simplifies tasks and eliminates the need for a data scientist.
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.
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.
Cognitive Business Operation at a consultancy with 10,001+ employees
The ability to query information from our Excel data into SAS to view specific data is invaluable.
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
 

Categories and Ranking

Dataiku
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
20
Ranking in other categories
Data Science Platforms (4th)
SAS Visual Analytics
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
Data Visualization (11th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Dataiku is designed for Data Science Platforms and holds a mindshare of 6.7%, down 12.5% compared to last year.
SAS Visual Analytics, on the other hand, focuses on Data Visualization, holds 1.8% mindshare, down 4.6% since last year.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Dataiku6.7%
Databricks9.3%
KNIME Business Hub6.8%
Other77.2%
Data Science Platforms
Data Visualization Mindshare Distribution
ProductMindshare (%)
SAS Visual Analytics1.8%
Tableau Enterprise11.0%
Domo5.7%
Other81.5%
Data Visualization
 

Q&A Highlights

HE
Founder & Managing Partners at OpenIn Partners
Jun 07, 2023
 

Featured Reviews

SK
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.
AN
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
Enables effective data management and reporting with a straightforward setup
SAS Visual Analytics is helpful as it allows us to perform any queries we need. The ability to query information from our Excel data into SAS to view specific data is invaluable. In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
10%
Computer Software Company
9%
Energy/Utilities Company
6%
Financial Services Firm
16%
Government
11%
University
7%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise13
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise8
Large Enterprise19
 

Questions from the Community

What is your experience regarding pricing and costs for Dataiku Data Science Studio?
I am not the person involved in the process regarding pricing, setup cost, and licensing.
What needs improvement with Dataiku Data Science Studio?
To improve Dataiku, it could enhance its visualization features, as it is not possible in Dataiku to create direct visualizations or to integrate a web app directly or in a simpler way as it is pos...
What is your primary use case for Dataiku Data Science Studio?
My main use case for Dataiku is for data science and AI projects. I use Dataiku for a demand forecasting use case where the objective is to predict the demand for each product for the next four mon...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may be that our current subscription does not include AI-enabled features, but I wo...
What is your primary use case for SAS Visual Analytics?
I started to work with SAS Visual Analytics ( /products/sas-visual-analytics-reviews ) in 2015. We use it for analysis on ICT expenditure information and ICT personnel information. The analytics ar...
 

Also Known As

Dataiku DSS
SAS BI
 

Overview

 

Sample Customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: March 2026.
884,873 professionals have used our research since 2012.