Sold by: DataikuÂ
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 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.
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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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 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)Â .
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.htmlÂ
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
Perry Beaumont
An amazing optimization of AWS functionality and Dataiku DSS analytics
Reviewed on Jul 19, 2020
Review from a verified AWS customer
After first attempting a few other venues to connect with Dataiku DSS, I gave AWS a try and wished I had done so earlier. Comparatively it was a breeze to get up and running (5 minutes) and with immediate connectivity and access to applications. An extremely strong recommendation from a very satisfied user.