Sold by: Dataiku
Deployed on AWS
Accelerate Enterprise AI with Dataiku on AWS
4.4
Overview
Video
Dataiku 3-Minute Demo
Video
Product video
Dataiku is The Universal AI Platform™, empowering teams to deliver AI and analytics projects faster - all within a secure, collaborative, and governed environment.
- Data Scientists use familiar tools to focus on high-impact work, with automation and streamlined collaboration.
- Business Analysts get faster insights with intuitive data prep and accessible machine learning.
- Data Teams scale projects with built-in governance and transparency.
Built for AWS
- Connect securely to all data sources, including Amazon S3, Amazon Redshift, and Amazon RDS.
- Scale data and ML processing with Dataiku elastic compute powered by Amazon EKS for Python, R, Spark, and more.
- Accelerate AI development with pre-built workflows integrating AWS AI services, such as Amazon SageMaker and Amazon Comprehend.
- Distributed creation of advanced analytics through its visual platform, fostering greater collaboration between technical and non-technical teams.
- Leverage the Dataiku LLM Mesh to connect to Amazon Bedrock for Chat, RAG, and Agentic workflows.
AI at Scale, Supported Every Step
With expert services and a robust learning platform, Dataiku helps organizations of any size adopt AI at scale - quickly and confidently.
Highlights
- Take full advantage of your investment in the AWS platform with Dataiku's unique push down to Amazon's storage and compute.
- Empower more users to clean and enrich data, build advanced data pipelines and machine learning models in a visual interface.
- Accelerate deployment on AWS, leveraging Sagemaker and Bedrock, with a fully managed service (SaaS) hosted and managed by Dataiku.
Details
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Please contact us for Pricing | Please contact aws@dataiku.com to get a custom quote through Private Offer | $0.01 |
Dimensions summary
This listing uses a custom contract model rather than fixed public pricing. You do not select from set tiers or instance sizes here. Instead, you contact aws@dataiku.com to receive a quote through a Private Offer. Your price is negotiated based on your needs and delivered as a single agreed contract. This structure fits enterprise deployments where scope, users, and infrastructure vary. Pricing terms are set privately between you and the vendor, then transacted through AWS Marketplace.
Top-of-mind questions for buyers
Your quote is built around your deployment scope. Dataiku scales by users, connected data sources, and infrastructure choices. Because these vary widely, pricing is set through a Private Offer after you email aws@dataiku.com. You agree a single custom contract that reflects your team size and workload footprint.
Yes. Dataiku runs on premises, in the cloud, or hybrid, using managed or self-managed deployments. Because deployment model affects infrastructure and scope, it factors into your custom quote. Discuss your target environment with the vendor at aws@dataiku.com so the Private Offer matches how you plan to run it.
The platform brings analytics, models, agents, orchestration, and governance into one system. Govern and LLM Mesh capabilities are part of the enterprise platform rather than the evaluation setup. Since scope drives price, confirm which capabilities your contract includes when requesting a quote at aws@dataiku.com.
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Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Michael V.
Highly Informative Keynote—Learned a Lot
Reviewed on Sep 24, 2026
Review provided by G2
What do you like best about the product?
Keynote was very informative and I learned a lot
What do you dislike about the product?
Nothing I thought the whole thing was great
What problems is the product solving and how is that benefiting you?
Too many places to look
Colin U.
Easy Data Sharing, but Another System to Learn
Reviewed on Sep 24, 2026
Review provided by G2
What do you like best about the product?
The ability to easily share and push data to colleagues who are less proficient with data.
What do you dislike about the product?
We use many different systems at work, so this is yet another system we need to train and upskill our people on.
What problems is the product solving and how is that benefiting you?
Faster data acquisition.
Pete W.
Cloud-Based Collaboration That Keeps Data Flowing
Reviewed on Sep 24, 2026
Review provided by G2
What do you like best about the product?
Dataiku is cloud based and collaborative. No longer is work done on one persons laptop but in a collaborative space. This enables continuous data flowing especially when colleagues change roles or go on leave.
What do you dislike about the product?
Prior to cobuild there was a large learning curve for non data focused folks.
What problems is the product solving and how is that benefiting you?
Proactive process monitoring in real time
Sarai A.
Effortless Prototyping That Keeps Us Focused on Data Science
Reviewed on Sep 24, 2026
Review provided by G2
What do you like best about the product?
The ease of prototyping and the ability to focus on the data science rather than the infrastructure
What do you dislike about the product?
It can be buggy and unclear when pipelines fail
What problems is the product solving and how is that benefiting you?
Bringing together business stakeholders and technical into one integrated space
Gerardo E.
Stronger collaboration and less tool fragmentation, but AI needs verification
Reviewed on Sep 15, 2026
Review provided by G2
What do you like best about the product?
I like that it keeps AI systems reliable, scalable, and seamlessly connected to the data they need to perform. It significantly improved collaboration between technical and business users, and it reduced tool fragmentation by bringing more of the AI lifecycle into one platform, making workflows easier to manage and coordinate. The governance capabilities also helped with centralized governance, documentation, and controls to keep AI usage organized and accountable.
What do you dislike about the product?
High costs, complex multi-cloud setups, and overly complicated access controls can make AI expensive, difficult to manage, and harder to secure. Also, the AI sometimes misinterprets the data, so I still need to verify its recommendations before making decisions.
What problems is the product solving and how is that benefiting you?
I’ve used the AI to quickly analyze campaign performance and identify trends. It also made workflows easier to manage and coordinate by reducing tool fragmentation, and it significantly improved collaboration. Governance and documentation provided enough oversight to keep AI usage organized and accountable.