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
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
OtherLinux 9
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
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 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.
Similar products
Accelerate Enterprise AI with Dataiku on AWS
PhaseV Trial Optimizer is an AI/ML-powered decision support platform solution that helps biopharma sponsors and CROs optimize phase 1-3 clinical trial designs (Bayesian, adaptive, fixed) within minutes. To date, Trial Optimizer has helped sponsors reduce patient recruitment and trial duration by up to 40%, cut development costs by as much as 50%, and increase the probability of success by over 30%. The platform seamlessly integrates multiple data sources, including sponsor-provided data as well as external data available to PhaseV.
Investics DARTS (Data Aggregation Remediation Transformation Service) sample trial data set. DARTS provides automated data delivery services for institutional investors' cloud and non-cloud systems and platforms. This sample trial data set provides a limited set of pre-determined portfolio holdings and historical scenario statistics.
Customer reviews
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.
Pavan B.
Easy No-Code Visual Flows That Connect Seamlessly to Native Servers
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
No-code or low-code visual flows that are easy to connect to native servers.
What do you dislike about the product?
The license cost is expensive, and it also requires heavy infrastructure to handle heavy flows.
What problems is the product solving and how is that benefiting you?
Operational tracking and clinical trial analytics.