Sold by: Dataiku
Deployed on AWS
AWS Free Tier
Accelerate Enterprise AI with Dataiku on AWS
4.4
Overview
This trial version of Dataiku allows you to deploy into your AWS environment for prototyping, testing and evaluating the full extent of Dataiku capabilities.
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI.
- 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.
With Dataiku visual, end-to-end collaborative AI platform: - Data Scientists spend more time on high-impact AI projects, leveraging the languages and tools they already know, automating repetitive tasks and efficiently collaborating with stakeholders. - Business Analysts generate deeper intelligence, faster, thanks to comprehensive data access, smart data preparation and accessible machine learning. - Data Teams can deliver more projects and more value from analytics and AI all with built in transparency and governance. Dataiku and AWS innovate together to enable organizations of any size to deliver enterprise AI in a highly scalable environment. - Dataiku natively integrates with AWS Services and products to enable organizations of any size to deliver enterprise AI at scale. - Dataiku enables users to ingest and manipulate a wide variety of data including Athena, Redshift and more, from the AWS ecosystem and beyond. - Dataiku empowers analytic teams to extend data science collaboration through integrations with Amazon Sagemaker Get started today with Dataiku on AWS!
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 create 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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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
OtherLinux 9
Deployed on AWS
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Pricing
Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
Refunds are not provided, but one can cancel at any time.
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
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Please read at https://doc.dataiku.com/dss/latest/release_notes/index.html
Additional details
Usage instructions
Browse to http(s)://INSTANCE_PUBLIC_ADDRESS/
You might need to wait few minutes that the instance starts and initializes.
You will have a first authentication to prove that you're the owner of the instance (with a basic access authentication):
- login = instance id
- password = empty
Then, you will have access to Dataiku DSS visual interface. Note that only Chrome and Firefox are supported.
Administrative (command-line) access can be obtained through ssh centos@INSTANCE_PUBLIC_ADDRESS. A standard installation of Dataiku DSS runs under linux user account "dataiku".
For additional information, or any issue, please see our resources and Q & A pages.
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
Alec P.
Streamlined Data Management with Stellar Support
Reviewed on Jun 20, 2026
Review provided by G2
What do you like best about the product?
I really like Dataiku's graphical interface. I'm a huge fan of that visual flow showing how joins happen and where data is moving. As a visual person, it helps me get a better map of our complex projects, making it easy to understand what I'm doing and where I'm going. I think the ease of setup was impressive too. I don't recall the implementation being a headache at all; it was pretty straightforward connecting to our Databricks. We love how easy it is to work with different data types in Dataiku. I also enjoy cleaning data there when I get the chance, even though I'm often in Databricks. We love how much our team enjoys using Dataiku, and we're really happy customers. The tag-ups and consulting services have always been really on point and helpful for us. Due to the enthusiasm at Santee Cooper, we've expanded our Dataiku licenses significantly.
What do you dislike about the product?
Sometimes working with your own custom code can be challenging. I will hit weird runtime errors when trying to run scripts I wrote.
What problems is the product solving and how is that benefiting you?
Dataiku solves our shadow IT problem by allowing us to control and curate data access with role-based permissions. It uses our centralized hub (Databricks) and allows us to track data lineage and output validation.
Retail
Intuitive UI and Easy-to-Follow Recipes
Reviewed on Jun 19, 2026
Review provided by G2
What do you like best about the product?
It’s very intuitive UI and recipes are easy to understand
What do you dislike about the product?
Should be integrated with DG tools well so they can be easily visualized within
What problems is the product solving and how is that benefiting you?
It’s creating a space for business users to play with the data before deploying for business use
Wesley H.
Parameter Analyzer Tool Makes Root Cause Analysis Faster
Reviewed on Jun 19, 2026
Review provided by G2
What do you like best about the product?
I love the parameter analyzer tool, we use it as a first step in problem solving to help narrow down root cause analysis
What do you dislike about the product?
I would like there to be a global env for secrets, and more inter connectivity between separate instances. If you needed to use something on one instance on another instance it’s a pain to use the api to attempt to retrieve secrets
What problems is the product solving and how is that benefiting you?
It streamlines pipeline development. As an analyst, I can build my own pipelines and accelerate the delivery of reports through dashboards or web apps.
Brad S.
Easy Low-Code Workflow Creation That Just Works
Reviewed on Jun 18, 2026
Review provided by G2
What do you like best about the product?
The low code environment and workflow creation plus ease of use
What do you dislike about the product?
There nothing o can think of that I dislike
What problems is the product solving and how is that benefiting you?
Dataiku has helped us reduce the dependency on technical teams for analytics and data preparation. Business users can access, prepare, and analyze data more efficiently, which has accelerated decision-making and improved collaboration across departments. The platform’s governance, automation, and AI capabilities have also helped us scale data initiatives while maintaining consistency and control.
Chandrakanth K.
Single Pane of Glass for Data & AI Agents with Built-In Observability
Reviewed on Jun 18, 2026
Review provided by G2
What do you like best about the product?
Having a single pane of glass for data and AI agents, with built-in observability, makes it much easier to monitor everything in one place.
What do you dislike about the product?
It could be an overhead to maintain, especially if the customer is already migrating to Databricks.
What problems is the product solving and how is that benefiting you?
We haven’t had the chance to explore the use cases yet.