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Keboola Pricing Overview

Keboola at a glance

Keboola’s pricing uses a flexible SaaS model that combines a subscription license (based on seats and projects) with consumption-based billing for job processing time.

Start with the Forever Free Tier, perfect for prototyping and learning, including 60 free minutes per month. As your needs grow, choose Pay-As-You-Go for usage-based flexibility or the Growth Tier for predictable pricing.

For larger organizations, the Tailored Enterprise Tier offers custom contracts, premium SLAs, and advanced governance—including SOC 2, GDPR, and HIPAA compliance.

Keboola has 2 pricing editions. A free trial of Keboola is also available. Look at different pricing editions below and see what edition and features meet your budget and needs.
NamePriceFeatures
Free Tier
FreeWith One-Time Purchase
Our Free Tier gives you 60 free computation minutes each month to explore, build, and prototype in Keboola. If you need more, you can manually or automatically top up your account with additional credits at $0.14 per minute. This plan is ideal for early exploration, data prototyping, and self-paced learning, giving you a full hands-on experience with Keboola’s core capabilities—risk-free.
  • Transformations: SQL, Python, R, dbt, No-code, Data Science
  • Scheduling & Triggers: Time-based or event-driven job automation
Growth Team
Contact Us1 License Per Year
Growth Team is built for high-growth organizations that need full flexibility, advanced features, and robust governance. This plan includes custom usage bundles tailored to your data needs and is billed on an annual or custom contract. Projects, users, credits, and compute power are fully customisable. You’ll benefit from premium SLAs, a dedicated Technical Account Manager (TAM), and unlimited storage out of the box.
  • Everything from the Free Plan, plus additional features:
  • Data Streaming and Change Data Capture (CDC) support

Keboola pricing & plans

Free Trial is available
Pricing information for Keboola is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Keboola must be conducted with the seller.

Contact us to learn about custom bundles and volume discounts.

Pricing information was last updated on May 23, 2025
Questions about pricing?

Keboola Pricing Reviews

(2)
Wilbrown F.
WF
Database Engineer 3
Mid-Market (51-1000 emp.)
"Streamlined Data Integration for Efficient Pipelines"
What do you like best about Keboola?

Keboola simplifies data integration and pipeline management, enabling quick setup and reliable data workflows for our team. Review collected by and hosted on G2.com.

What do you dislike about Keboola?

The UI, while improved, occasionally has minor bugs, and I’d appreciate keyboard shortcuts for faster navigation. Review collected by and hosted on G2.com.

Response from Martin Lepka of Keboola

Hi there!

Thank you for such a comprehensive review! It's great to hear how Keboola is helping streamline your data integration, improve governance, and support your AI and collaboration workflows. Your feedback about the UI bugs and the wish for keyboard shortcuts is really valuable—we’ll definitely keep this in mind as we continue refining the platform. Appreciate you taking the time to share your experience!

ML

Verified User in Retail
AR
Enterprise (> 1000 emp.)
"Easy to use, fast development"
What do you like best about Keboola?

It is easy to use. It has lot of native tools, that can be used from scratch. Very easy to create data pipelines and orchestrations. Review collected by and hosted on G2.com.

What do you dislike about Keboola?

Keboola lacks flexibility of doing additional optimizations on speed and cost of transformations. So when your organization is bigger and you spent much more money on using Keboola, there is limited amount of things you can do to optimize. Review collected by and hosted on G2.com.

Response from Martin Lepka of Keboola

Hi there,

Thanks for the review! We’re glad to hear Keboola makes it easy for you to build pipelines and orchestrate data quickly.

We appreciate the feedback on optimization — it's a fair point, especially for growing teams. We're actively working on giving users more control over performance and cost tuning, so stay tuned.

Thanks again for trusting us with your data operations! ML

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