Dataiku Pricing Overview

Free Trial

Dataiku Pricing Key Insights

Last updated on Jul 28, 2026


Dataiku offers a free trial. Information about Dataiku pricing, plan availability, and costs is not listed on G2 by the vendor. Buyers typically need to engage directly with the vendor to understand pricing options. Final cost negotiations to purchase Dataiku must be conducted with the seller.


Rated 4.4 / 5

*Pricing information is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations must be conducted with the seller.

Pricing Insights

Averages based on real user reviews.

Dataiku Pricing FAQs

Generated using AI
Is Dataiku free, or does it offer a free trial?

Dataiku does not offer a permanent free plan, but it does provide a free trial that lets users to test the product before committing to a paid plan. Trial availability and duration may vary, so users should review the seller's official pricing page for the most current details.

Who is Dataiku pricing best suited for?

Based on G2 reviewer demographics, Dataiku's pricing is best suited for enterprise organizations with more than 1,000 employees, particularly in airlines, financial services, pharmaceuticals, oil and energy, and manufacturing. These segments dominate the G2 review base and consistently report strong ROI from Dataiku's end-to-end ML, governance, and collaboration capabilities. Mid-market teams in IT, health, and banking also appear frequently and report solid value when deploying Dataiku across multiple data science and analytics use cases. G2 reviews of Dataiku indicate that small businesses and individual consultants can extract value but frequently cite pricing as a limiting factor for full adoption and seat expansion.

What are the key differences between the free and paid versions of Dataiku?

Dataiku does not offer a permanent free tier. According to G2's pricing data for Dataiku, a free trial is available for teams evaluating the platform before committing to a paid license. Dataiku's paid plans are structured around custom enterprise quotes, meaning there are no publicly listed fixed tiers. G2 reviewers note that certain advanced capabilities, including premium add-ons and higher-tier features, are unavailable to smaller teams or those without full enterprise licensing. One G2 reviewer explicitly flagged that some powerful capabilities are only accessible in higher-tier or enterprise versions, which may not be cost-effective for smaller teams evaluating Dataiku's pricing.

Is Dataiku considered good value for its pricing?

G2 reviewers broadly rate Dataiku at 4.5/5, signaling strong satisfaction despite persistent cost concerns. Across enterprise, mid-market, and small-business segments, G2 users repeatedly flag Dataiku's pricing as a significant barrier, particularly for smaller organizations and startups. Reviewers in oil and energy, airlines, pharmaceuticals, and financial services consistently report that Dataiku's unified pipeline, governance, and collaboration features justify the investment at scale. One G2 reviewer noted the license pays for itself after a few workflows. However, G2 reviews of Dataiku's pricing indicate limited accessible tiers below the full enterprise offering, with multiple reviewers citing cost as a barrier to broader internal adoption and seat expansion.

Dataiku Pricing Reviews

(2)
SN
Seerapu N.
Backend Developer
Mid-Market (51-1000 emp.)
"A Unified Platform That Bridges Data Experts and Business Teams Seamlessly"
5/5
What do you like best about Dataiku?

Its greatest strength is enabling true collaboration between data experts and business teams on a single platform. It seamlessly bridges technical work like coding and ML engineering with visual and no-code interfaces. This breaks down silos, accelerates project delivery and ensures AI solutions are built with crucial business context, making them more impactful and sustainable. Review collected by and hosted on G2.com.

What do you dislike about Dataiku?

For smaller teams or simpler projects, Dataiku will be premium. The platform's extensive features come with inherent complexity, which can lead to a steeper learning curve. Its pricing model is often seen as enterprise-focused, potentially making it less accessible for startups or individual users who don't need its full collaborative scale. Review collected by and hosted on G2.com.

Verified User in Airlines/Aviation
UA
Verified User in Airlines/Aviation
Enterprise (> 1000 emp.)
"User-Friendly and Well-Integrated, but Data Prep and ML Training Can Be Inconsistent"
3.5/5
What do you like best about Dataiku?

It’s very user-friendly. New members of our team can quickly get started, whether they’re picking up pre-existing projects or creating their own. I also really like that you can mix different coding languages within the same flow.

Another strong point for me is the range of integrations with most major platforms: Databricks, AWS, Teradata, SharePoint, etc.

Performance-wise, it’s good. It’s not the best, although that may be related to our current cluster configuration. I’ve also noticed that training ML models can sometimes fail for different reasons, and it can be a bit daunting to figure out exactly why and debug the issue.

Dataiku support is quite good. I wasn’t a fan of customer support being limited to email, but I have to say the responses are fast and the attention has been solid.

Pricing is also quite competitive. Fixed pricing tied to licenses works well for our team.

Finally, I’ve been enjoying the latest AI features they’ve added. Being able to easily describe recipes or generate documentation is definitely a plus. Review collected by and hosted on G2.com.

What do you dislike about Dataiku?

Data prep tools can sometimes be too slow to run, which can be frustrating. This is a problem we haven’t seen with competitors like Alteryx. Also, training ML models sometimes fails even with a reasonable number of samples, and the behavior feels a bit inconsistent in that regard. Review collected by and hosted on G2.com.

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