Dataiku vs SAP Predictive Analytics comparison

Dataiku and SAP are both solutions in the Data Science Platforms category. Dataiku is ranked #4 with an average rating of 8.0, while SAP is ranked #28. Dataiku holds a 6.7% mindshare in Data Science Platforms, compared to SAP’s 1.3% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Dataiku

Read 20 Dataiku reviews

5,913 Views
5,795 Comparison Views

100% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

646 Views
640 Comparison Views

100% willing to recommend

Dataiku

SAP Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

SAP Predictive Analytics and Dataiku compete in predictive modeling and data analysis. Dataiku is perceived to have an edge in features, making it seem worth its cost.

Features: SAP Predictive Analytics automates predictive model creation and integrates with other SAP tools. Dataiku offers a user-friendly platform with extensive machine learning functionalities and collaboration tools, enhancing team productivity. Dataiku's comprehensive feature set provides an advantage over SAP Predictive Analytics.

Ease of Deployment and Customer Service: Dataiku offers a simple, flexible deployment model that facilitates implementation across diverse environments. SAP Predictive Analytics may have a more complex setup but benefits from extensive support within the SAP ecosystem. Both provide solid customer service, but Dataiku's straightforward deployment approach is more favorable.

Pricing and ROI: SAP Predictive Analytics often has lower initial setup costs due to its integration with existing SAP systems, leading to faster ROI. Dataiku might have a higher upfront cost but offers significant long-term value through extensive features and scalability options, resulting in better ROI for complex analytics needs.

To learn more, read our detailed Dataiku vs. SAP Predictive Analytics Report (Updated: March 2026).

Buyer's Guide

Dataiku vs. SAP Predictive Analytics

March 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

4th

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

SAP Predictive Analytics

Ranking in Data Science Platforms

28th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Data Science Platforms category, the mindshare of Dataiku is 6.7%, down from 12.5% compared to the previous year. The mindshare of SAP Predictive Analytics is 1.3%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Dataiku	6.7%
SAP Predictive Analytics	1.3%
Other	92.0%

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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Gary Cook

Executive at Empowered Analytics

Enables us to forecast and pull trends and has an easy installation

My rating for SAP Predictive Analytics would be an eight out of ten. If I have to be bold, I'll probably say that we're building away hours, and we are actually putting a lot of the actual predicting stuff back into the warehouse. So running it very bi-directionally. So I'm not sure what its integration features are at the moment, but that's an area we're going to look into in the next month or so.

Read full review

Quotes from Members

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

Pros

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

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

"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."

"The best features Dataiku offers that help me with my demand forecasting and data science projects include having a complete overview of the flow directly from the flowchart, allowing me to observe all the steps in a single overview, and the ability to use a no-code, low-code node."

"The best features Dataiku offers include the ability for users to use the node without having to code and the functionality related to low-code/no-code."

"Data Science Studio's data science model is very useful."

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

More Dataiku pros

"The most valuable features are the analytics and reporting."

"I think the features of the actual ability to forecast and pull trends and correlations has been really good."

Cons

"The technical support from Dataiku is not good. The support team does not provide adequate assistance, and there are concerns about billing requests."

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

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

"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."

"The license is very expensive."

"I have not seen a return on investment with Dataiku in terms of time saved, money saved, or fewer employees needed."

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

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

More Dataiku cons

"This solution works for acquired data but not live, real-time data."

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."

"A free trial version is available for testing out this solution."

"The pricing is reasonable"

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

10%

Computer Software Company

Energy/Utilities Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

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.

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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...

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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...

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Product Reports

Buyer's Guide

Dataiku

March 2026

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Buyer's Guide

Data Science Platforms

March 2026

Download SAP Predictive Analytics product report

Also Known As

Dataiku DSS

SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA

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

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

SAP

Sample Customers

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

mBank

Buyer's Guide

Dataiku vs. SAP Predictive Analytics

March 2026

Free Report: Dataiku vs. SAP Predictive Analytics

Find out what your peers are saying about Dataiku vs. SAP Predictive Analytics and other solutions. Updated: March 2026.

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