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
Airlines/Aviation
User-Friendly and Well-Integrated, but Data Prep and ML Training Can Be Inconsistent
Reviewed on Jul 01, 2026
Review provided by G2
What do you like best about the product?
It’s very user-friendly. New members of our team can quickly get started, whether they’re picking up pre-existing projects or creating their own. I also really like that you can mix different coding languages within the same flow.
Another strong point for me is the range of integrations with most major platforms: Databricks, AWS, Teradata, SharePoint, etc.
Performance-wise, it’s good. It’s not the best, although that may be related to our current cluster configuration. I’ve also noticed that training ML models can sometimes fail for different reasons, and it can be a bit daunting to figure out exactly why and debug the issue.
Dataiku support is quite good. I wasn’t a fan of customer support being limited to email, but I have to say the responses are fast and the attention has been solid.
Pricing is also quite competitive. Fixed pricing tied to licenses works well for our team.
Finally, I’ve been enjoying the latest AI features they’ve added. Being able to easily describe recipes or generate documentation is definitely a plus.
Another strong point for me is the range of integrations with most major platforms: Databricks, AWS, Teradata, SharePoint, etc.
Performance-wise, it’s good. It’s not the best, although that may be related to our current cluster configuration. I’ve also noticed that training ML models can sometimes fail for different reasons, and it can be a bit daunting to figure out exactly why and debug the issue.
Dataiku support is quite good. I wasn’t a fan of customer support being limited to email, but I have to say the responses are fast and the attention has been solid.
Pricing is also quite competitive. Fixed pricing tied to licenses works well for our team.
Finally, I’ve been enjoying the latest AI features they’ve added. Being able to easily describe recipes or generate documentation is definitely a plus.
What do you dislike about the product?
Data prep tools can sometimes be too slow to run, which can be frustrating. This is a problem we haven’t seen with competitors like Alteryx. Also, training ML models sometimes fails even with a reasonable number of samples, and the behavior feels a bit inconsistent in that regard.
What problems is the product solving and how is that benefiting you?
I mostly work on ML projects—forecasting, classifiers, and similar tasks—especially when they’re tied to commercial problems. It's also pretty decent at version control amongst the team.
Marco J.
Dataiku: No-Code ETL Powerhouse — Collaborative, Visual, and Python/SQL Friendly
Reviewed on Jun 29, 2026
Review provided by G2
What do you like best about the product?
What I like the most about Dataiku is that it is mostly a no-code platform, and allows technical, and non-technical users to collaborate in an easy way. It is extremely easy to share workbooks between coworkers, easy to set-up (using the web version with any browser - Edge, Chrome, etc.).
The visual recipes make it easy to understand the flow of the pipeline, while also having the flexibility of adding Python or SQL when necessary. For data preparation, automation, and building repeatable workflows, I can say it's the best ETL platform I have used. We use Alteryx in our company, but we are starting to implement our workflows and apps inside Dataiku instead of Alteryx.
The visual recipes make it easy to understand the flow of the pipeline, while also having the flexibility of adding Python or SQL when necessary. For data preparation, automation, and building repeatable workflows, I can say it's the best ETL platform I have used. We use Alteryx in our company, but we are starting to implement our workflows and apps inside Dataiku instead of Alteryx.
What do you dislike about the product?
The main thing I dislike about Dataiku is that the learning curve can be a little steep at the beginning. There are many features, menus, recipes, and project settings available, so it can feel overwhelming until you understand how everything is organized.
Some tasks that seem simple at first may require learning the Dataiku specific way of doing things, especially around flows, datasets, automation, and deployment. Once you get more familiar with the platform, it becomes much easier to use, but the onboarding phase could be smoother with more user-friendly examples and tutorials.
Some tasks that seem simple at first may require learning the Dataiku specific way of doing things, especially around flows, datasets, automation, and deployment. Once you get more familiar with the platform, it becomes much easier to use, but the onboarding phase could be smoother with more user-friendly examples and tutorials.
What problems is the product solving and how is that benefiting you?
Dataiku helps solve the business problem of automating data workflows that would otherwise require manual work across different tools. This is useful when working with APIs, because we can extract data from external or internal systems, transform it, and schedule the process to run automatically.
In the airline industry, having a platform with schedulers is extremely necessary. Many processes depend on updated data, fixed execution times, and reliable automation. Dataiku makes it easier to organize these workflows in one place, reduce manual steps, and monitor the process when something fails.
In the airline industry, having a platform with schedulers is extremely necessary. Many processes depend on updated data, fixed execution times, and reliable automation. Dataiku makes it easier to organize these workflows in one place, reduce manual steps, and monitor the process when something fails.
Gabriel A.
Fast Connections and Smooth Datasource Migrations
Reviewed on Jun 25, 2026
Review provided by G2
What do you like best about the product?
Fast connection and migration of datasources
What do you dislike about the product?
complicated to lear recipes for a person without coding experience
What problems is the product solving and how is that benefiting you?
is fast to build ML models
Meghu D.
Great for Automating Data Workflows, Looking Forward to Gen AI Integration
Reviewed on Jun 25, 2026
Review provided by G2
What do you like best about the product?
As a data analyst, it makes it easier to automate repetitive data processes and workflows. I also like the visual recipes/workflows. But I am looking forward to all the upcoming features as mentioned in the enablement session.
What do you dislike about the product?
A couple of downsides I’ve noticed with Dataiku are the lack of Gen AI integration. I understand it will be added soon, and I’m looking forward to that, but it’s still a gap for now.
What problems is the product solving and how is that benefiting you?
As someone who works at a bank, a lot of my analysis involves financial data, especially in fraud management. Dataiku helps me work through and analyze fraud-related data, including calculating the impact and benefits of our data science models.
Airlines/Aviation
Visually Appealing Low-Code Platform with Easy Cross-Team Collaboration
Reviewed on Jun 25, 2026
Review provided by G2
What do you like best about the product?
low-code option that is visually appealing that has easy collaboration between various teams of different technical levels
What do you dislike about the product?
it takes a while to get used to the UI and find due to some auto documentation can be misleading
What problems is the product solving and how is that benefiting you?
Dataiku was a possible solution for our analytics migration out of Alteryx