Dataiku Pricing Guide 2025: Costs & Plans Broken Down

Aside from SelectHub suggesting a starting price of $4,000/month (over 26x more expensive than Mammoth’s starting price), there’s no publicly shared pricing availble for Dataiku.

Unless you’re ready to talk to their sales team, this makes it tricky to know how much Dataiku will actually cost. If you’re still early in your research, that can be frustrating.

Not ready to jump into a sales conversation just to get a ballpark figure? We’ve pulled together everything we could find to give you a clearer idea of what to expect. That includes common pricing ranges, what affects the cost, and how Dataiku compares to other platforms.

TL;DR: How Much Does Dataiku Cost?

Dataiku pricing

Pricing plans: These vary widely, but users and third-party sources suggest that pricing often starts around $4,000 per month. From there, they can go well into six figures per year depending on usage, team size, and deployment model.

Here’s a rough breakdown based on what people report:

• Most companies will need a custom quote based on team size, deployment type, and usage.
• Extra costs may include: support tiers, compute resources, user seats, and add-ons.
• No transparent pricing: Even for cloud-hosted versions, a quote is required.
• Commitment: Typically requires an annual contract.
• Free trial? Yes, but limited. Better suited for testing than full evaluation.

Dataiku’s Extra Fees

Dataiku doesn’t list extra fees on their website. Instead, pricing depends on what your team needs, and costs can add up quickly.

Here’s what you can generally expect:

Features

The more advanced features you need (like automation, MLOps, or cloud deployment) the more you’ll pay. The free version is very limited, and most serious use cases require an upgrade to a full enterprise plan.

Customization and Integrations

Need Dataiku to connect with internal tools or specific data sources? Custom integrations, especially in on-prem deployments, often come with added setup or service fees.

User Seats

Licenses are role-based. Designer users (those building workflows) are significantly more expensive than viewer or reader roles. The more Designers you need, the more your costs rise.da

Organization Size

Larger teams with higher usage or stricter security requirements generally pay more. For example, teams that need dedicated infrastructure, advanced governance, or high availability will be quoted at enterprise pricing tiers.

Price Negotiation

Source: Reddit.

To get a firm price, you’ll need to speak with a Dataiku sales rep. They’ll tailor your quote based on the number of users, deployment needs, and support level. Most plans require an annual commitment. Monthly billing is typically not available.

💡 Pro tip: Before hopping on a call with Dataiku’s sales team, come prepared with a target budget. Work out your ideal number, then subtract 10–20% to leave yourself room to negotiate.

Dataiku Alternatives: How It Compares to Mammoth

Dataiku is a well-known platform for data science and advanced analytics, but it comes with high costs and a sales-heavy pricing model. If you’re looking for a more affordable, flexible alternative, Mammoth might be a better fit.

Here’s how Dataiku compares:

Pricing

Dataiku pricing typically starts around $4,000/month, but costs can easily climb into six figures per year for mid-size and enterprise teams. If you need multiple Designer licenses, cloud hosting, or enhanced support, the price goes up quickly.

Mammoth, on the other hand, offers simple, transparent pricing. No hidden fees, no sales calls, and no commitment required.

Ease of Use

Dataiku is designed for technical teams and can be complex to learn. Many users need training to get the most out of the platform.

Mammoth is built for business users, especially those moving beyond Excel or Power BI. You can start working with your data right away, no certification required.

Flexibility

Dataiku requires annual contracts and often involves a multi-step sales process.

Mammoth offers a flexible model, with monthly or annual plans and no pressure to upgrade until you’re ready.

Collaboration & Sharing

In Dataiku, collaboration features vary depending on your license level. Some users report needing additional infrastructure or add-ons to share work effectively.

Mammoth is built for sharing. Dashboards and reports are easy to distribute in real time, without extra setup or cost.

Which One is Right for You?

If you’re a large enterprise with a dedicated data science team and a big budget, Dataiku might be a solid fit.

But if you’re looking for a modern, cost-effective, and easy-to-use alternative that’s ready to go out of the box, Mammoth could be the better choice.

Want to see how Mammoth stacks up? Try Mammoth for free.

Comparing Dataiku with Competitors

Now that you have a better idea of how Dataiku’s pricing works, you might be wondering: “What are the best alternatives to Dataiku, and how much do they cost?”

The main alternatives to consider are other analytics and data automation platforms. With the most notable being Mammoth, Tableau, and DataRobot.

Not sure how to decide between them? Here’s a quick breakdown:

The Data Analytics Software Market

The analytics space generally falls into three categories:

• Business intelligence platforms (~45%) – Focused on dashboards and reporting (e.g., Tableau).
• Data science and AI tools (~45%) – Built for predictive modeling, ML, and complex workflows (e.g., DataRobot).
• All-in-one analytics and automation platforms (~10%) – Combine data prep, automation, and analytics in a single tool (e.g., Dataiku and Mammoth).

Dataiku is known for supporting advanced data science teams, but it’s often seen as expensive, complex, and heavily sales-led.

Mammoth, is a modern alternative designed to be simpler and more affordable. While still offering powerful data transformation, automation, and preparation features.

Dataiku Competitor Pricing Overview

Here’s a quick look at Dataiku’s main competitors and how it stacks up:

Tableau

• Estimated avg. cost = $840–$1,260 per user per year
• Best known for its powerful dashboards and reporting tools
• But – It doesn’t offer built-in data automation or transformation like Dataiku

DataRobot

• Estimated avg. cost = Starts at ~$10,000 per year
• Best known for AI-driven predictive analytics and modeling
• But – It’s focused on machine learning, not general-purpose data prep or reporting

Dataiku

• Estimated avg. cost = Starting around $4,000/month, with enterprise plans well into six figures
• Best known for advanced data science workflows and ML pipelines
• But – It’s one of the most expensive options, and many teams find it complex and sales-heavy

Mammoth

• Starts at $119/month or $1,428 per year
• Best for teams looking for an easy-to-use, all-in-one platform for data preparation, automation, and transformation.
• No sales calls, no hidden fees — just clear, flexible pricing designed for modern teams

Pricing & Feature Comparison Table

Dataiku Pricing: Wrapping Up

Dataiku is a powerful platform for data science and analytics, but its pricing is high and not publicly listed.

From what we’ve found, it’s one of the more expensive and complex options available. Especially for mid-size teams that don’t need full-scale ML infrastructure.

In addition, Dataiku requires an annual contract and a sales-driven process, which can make it difficult to test the platform before making a commitment.

Looking for a more flexible, affordable, and easy-to-use alternative?

Try Mammoth’s 14-day free trial first. With it, you can:

✅ Automate data cleaning and transformation

✅ Visualize your data with built-in dashboards

✅ Integrate with your existing tools

✅ Analyze and export your data easily

And if it’s not the right fit? No contracts, no commitments. Just cancel anytime.

Try Mammoth for free today.