Dataiku vs SAS Visual Analytics comparison

The compared Dataiku and SAS solutions aren't in the same category. Dataiku is ranked #2 in Data Science Platforms , with an average rating of 8.1, and holds a 5.6% mindshare in the category. SAS is ranked #12 in DV , with an average rating of 9.0, and holds a 1.7% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 96% of SAS users who would recommend it.

Dataiku

Read 21 Dataiku reviews

6,883 Views
6,745 Comparison Views

100% willing to recommend

SAS Visual Analytics

Read 40 SAS Visual Analytics reviews

3,994 Views
1,438 Comparison Views

96% willing to recommend

Dataiku

SAS Visual Analytics

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Executive Summary

We performed a comparison between Dataiku and SAS Visual Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Dataiku, Knime and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: April 2026).

Buyer's Guide

Data Science Platforms

April 2026

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Helped 893,221 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

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.

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

The enterprise subscription offers more benefits, ensuring valuable outcomes.

AYANDA NKUNDLA

Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION

For more quotes and insights, download the SAS Visual Analytics 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

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.

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

They provide callbacks to ensure clarity and resolution of any queries.

AYANDA NKUNDLA

Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION

For more quotes and insights, download the SAS Visual Analytics 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

7.8

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.

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

No quotes available

For more quotes and insights, download the SAS Visual Analytics 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

7.1

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.

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

SAS Visual Analytics is stable and manages data effectively without crashing.

AYANDA NKUNDLA

Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION

For more quotes and insights, download the SAS Visual Analytics report

Room For Improvement

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

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.

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

In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.

AYANDA NKUNDLA

Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION

For more quotes and insights, download the SAS Visual Analytics report

Setup Cost

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

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.

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 SAS Visual Analytics report

Valuable Features

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

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.

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 ability to query information from our Excel data into SAS to view specific data is invaluable.

AYANDA NKUNDLA

Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION

For more quotes and insights, download the SAS Visual Analytics report

Categories and Ranking

Dataiku

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Science Platforms (2nd)

SAS Visual Analytics

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Visualization (12th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Dataiku is designed for Data Science Platforms and holds a mindshare of 5.6%, down 12.8% compared to last year.
SAS Visual Analytics, on the other hand, focuses on Data Visualization, holds 1.7% mindshare, down 4.2% since last year.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Dataiku	5.6%
Databricks	8.2%
KNIME Business Hub	5.6%
Other	80.6%

Data Science Platforms

Data Visualization Mindshare Distribution
Product	Mindshare (%)
SAS Visual Analytics	1.7%
Tableau Enterprise	10.3%
Qlik Sense	5.2%
Other	82.8%

Data Visualization

Q&A Highlights

Hakim ERRAJI

Founder & Managing Partners at OpenIn Partners

Jun 07, 2023

Which solution do you prefer: SAS Viya or Dataiku Data Science Studio?

Dataiku is my choice as it's not bulky and the learning path for people like me (noobs in ML and data science) is not steep at all, so after a couple of pieces of training I feel very confident. Also, you can check it out for free, it has the sandbox free of charge. For the guys who are tech-aware, it provides a wide variety of tools as well as flexible customization (via code notebooks, preset connectors, etc). The pricing bites but the charge depends on the scale of your needs, so you have a choice there. As for SAS - I personally didn't use it but read many reviews stating that it's kinda clumsy and not intuitive to use vs many other solutions, though I might be wrong.

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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

AYANDA NKUNDLA

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.

Read full review

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893,221 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

15%

Government

10%

Construction Company

Healthcare 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	13
Midsize Enterprise	8
Large Enterprise	19

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

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.

See all answers

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...

See all answers

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...

See all answers

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Tableau Enterprise vs SAS Visual Analytics

Compared 15% of the time

Microsoft Power BI vs SAS Visual Analytics

Compared 13% of the time

Qlik Sense vs SAS Visual Analytics

Compared 5% of the time

Oracle OBIEE vs SAS Visual Analytics

Compared 5% of the time

Advizor Analyst vs SAS Visual Analytics

Compared 3% of the time

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Product Reports

Buyer's Guide

Dataiku

May 2026

Download Dataiku product report

Buyer's Guide

SAS Visual Analytics

April 2026

Download SAS Visual Analytics product report

Also Known As

Dataiku DSS

SAS BI

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 Visual Analytics offers rapid data processing and advanced forecasting with interactive reporting and visualization. It integrates with diverse data sources, enhancing scalability and automation, enabling data-driven decisions and extensive insight generation.

SAS Visual Analytics provides comprehensive data handling through its advanced reporting and visualization features. Businesses benefit from its ability to process data quickly and deliver insights via interactive dashboards and well-structured reports. Although it faces performance challenges with large datasets and has a complex installation process, it supports both cloud and on-premises deployments. Users can leverage its capabilities in data extraction, transformation, and loading, making it a valuable tool for finance, statistical analysis, and enterprise reporting. Despite some gaps in machine learning and integration with newer data stores, its scalability and flexibility in data management remain key advantages.

What are the most significant features of SAS Visual Analytics?

Rapid Data Processing: Efficiently handles large volumes of data for swift insights.
Interactive Reporting: Allows exploration of data through dynamic visuals.
Advanced Forecasting: Offers sophisticated prediction and analysis capabilities.
Scalable Integration: Seamlessly connects with diverse data sources.
Automation: Streamlines processes for enhanced productivity.

What benefits should users consider when evaluating?

Scalability: Ability to grow and adapt to expanding data needs.
Enhanced Insights: Delivers comprehensive report generation and visualization.
Data-driven Decisions: Empowers analytical decision-making with structured data presentation.
Flexibility: Supports integration beyond standard BI tools for broader functionality.

SAS Visual Analytics is implemented across sectors such as insurance and education for tasks like building dashboards and performing business intelligence. It is extensively used in finance and statistical analysis, turning complex data sets into actionable insights, supporting both cloud and on-premises environments.

SAS

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.

Buyer's Guide

Data Science Platforms

April 2026

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