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 Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require.
- 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
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 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 |
|---|---|---|
Dataiku | Contact us for pricing | $1.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Custom pricing options
Request a private offer to receive a custom quote.
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.
Updated weekly
By Databricks, Inc.
By Domino Data Lab
Top
10
In ML Solutions
Top
10
In Databases & Analytics Platforms, ML Solutions, Data Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
AWS Data Source Integration
Secure connectivity to Amazon S3, Amazon Redshift, and Amazon RDS with push-down computation capabilities.
Elastic Compute Scaling
Distributed data and machine learning processing powered by Amazon EKS supporting Python, R, Spark, and additional frameworks.
AWS AI Service Integration
Pre-built workflows integrating AWS AI services including Amazon SageMaker and Amazon Comprehend for accelerated AI development.
Large Language Model Connectivity
LLM Mesh capability enabling connections to Amazon Bedrock for Chat, Retrieval-Augmented Generation (RAG), and Agentic workflows.
Visual Analytics and ML Interface
Low-code visual platform for data preparation, pipeline creation, and machine learning model development accessible to both technical and non-technical users.
Lakehouse Architecture
Built on a lakehouse foundation providing unified data storage and governance across data engineering, analytics, BI, data science, and machine learning workloads
Open Source Integration
Constructed on open source data projects and open standards to maximize flexibility and interoperability across the data ecosystem
Data Intelligence Engine
Powered by a Data Intelligence Engine that enables organizational access to data and insights across diverse user roles and technical skill levels
Unified Data Platform
Consolidates data, analytics, and AI workloads on a single common platform running on Amazon S3, eliminating traditional data silos
Collaborative Capabilities
Provides native collaboration features enabling data teams to work together across the entire data and AI workflow
Self-Service Infrastructure Access
One-click, governed access to data, tools, and compute resources through a self-service portal with support for open-source tools including Jupyter, RStudio, SAS, Anaconda, MATLAB, and distributed compute frameworks like Spark, Ray, Dask, and MPI.
Centralized Knowledge Management
Central hub for AI operations and knowledge across the enterprise enabling reproducibility, reusability, and cross-functional collaboration with audit-ready platform capabilities.
Integrated MLOps Workflows
End-to-end model development, deployment, and monitoring capabilities within a unified platform with support for preferred tools and languages, including seamless integration with Amazon SageMaker.
Multi-Cloud and Hybrid Deployment
Support for deployment across public cloud, hybrid, and multi-cloud environments through Domino Nexus, enabling workload execution across any compute cluster in any cloud, region, or on-premises infrastructure.
Model Governance and Compliance
Turnkey model governance, monitoring, and remediation with robust controls for compliance, reproducibility tracking, and audit-ready processes designed for regulatory requirements including GxP processes.
Standard contract
No
No
No
Customer reviews
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.
Beau E.
User-Friendly Dataiku with Outstanding Learning Resources
Reviewed on Jun 17, 2026
Review provided by G2
What do you like best about the product?
I find Dataiku to be incredibly user-friendly, which is essential for my work in building apps and cleaning data. I really enjoy the academy because the lessons are so easy to follow, making learning a breeze. The web apps are a fantastic feature for me too; I love that I can create apps without needing to purchase third-party software. The initial setup for our team was also very easy and only took a few months.
What do you dislike about the product?
Needs a dark mode
What problems is the product solving and how is that benefiting you?
Dataiku brings many inputs together from many places, making data cleaning and app building easier. It's user-friendly, and the academy lessons are easy to follow. I love creating apps without needing 3rd party software.