Sold by: Dataiku
Overview
Dataiku is the platform for Universal AI, 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 Dataiku's 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 using Dataiku's Cloud Stacks Accelerator to get up and running quickly or skip installation and maintenance processes with a fully managed service (SaaS) hosted and managed by Dataiku.
Details
Sold by
Delivery method
Deployed on AWS
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 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
Vendor 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 Dataiku
By Databricks, Inc.
By Alteryx
Top
50
In ML Solutions, Data Analytics, Collaboration & Productivity
Top
10
In Databases & Analytics Platforms, Data Analytics, ML Solutions
AI generated sentiment 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
Data Integration
Supports ingestion and manipulation of diverse data sources including AWS Athena, Redshift, and external platforms
Machine Learning Collaboration
Enables data scientists to automate repetitive tasks and efficiently collaborate using familiar languages and tools
Cloud Platform Compatibility
Natively integrates with AWS services and products for scalable enterprise AI deployment
Visual Data Preparation
Provides comprehensive visual interface for data cleaning, enrichment, and advanced data pipeline construction
Model Development Environment
Supports advanced machine learning model development through integrations with Amazon SageMaker
Data Platform Architecture
Unified platform integrating data engineering, analytics, business intelligence, data science, and machine learning on a single architecture
Open Source Foundation
Built on open source data projects with support for open standards and data formats
Lakehouse Infrastructure
Provides a common data management approach using a lakehouse architecture running on Amazon S3
Data Intelligence Engine
Advanced engine capable of interpreting organizational data context and enabling broad data access across teams
Collaborative Workflow
Native collaboration capabilities enabling cross-functional data and AI workflow integration
Data Workflow Automation
Drag-and-drop interface with 300+ analytic building blocks for creating and automating data workflows
Machine Learning Capabilities
Automated machine learning (AutoML) and feature engineering for high-value data science use cases
Cloud-Native Analytics Platform
Browser-based, cloud-native experience for building and automating data pipelines with reduced technical complexity
AI-Powered Insights Generation
AI capabilities for generating quick insights through dashboards and storytelling across organizational processes
Enterprise Analytics Governance
Scalable platform for sharing and governing analytic workflow processes with enterprise-level management
Standard contract
No
No
No
Customer reviews
Consumer Goods
Dataiku in my company
Reviewed on May 06, 2025
Review provided by G2
What do you like best about the product?
It makes our lives easier and it helps us detect opportunities and risks.
What do you dislike about the product?
Lack of information when getting new updates
What problems is the product solving and how is that benefiting you?
It's helping us solve optimization problems as well as demand prediction in the short and long term.
Leave a comment0 comments
Airlines/Aviation
Easy to use Data Analytics Platform
Reviewed on May 06, 2025
Review provided by G2
What do you like best about the product?
The UI is easy to use, it just take me small amount of time to learn and understand the concept related to Dataiku and can create my own flow. The CS is very responsive, the reply to my question very fast.
What do you dislike about the product?
I think Dataiku is already working with the latest trend of Ai, but I think it would be better if It include feature like the integrate between copilot & VS code, which allow seamless generation of code by AI
What problems is the product solving and how is that benefiting you?
Dataiku solves problems like complex data pipeline management, collaboration within teams, and automating repetitive AI/ML tasks. It benefits me by simplifying workflows with a visual interface, also me and my teammate could collaborate more easier in the platform.
Financial Services
Influencial
Reviewed on May 05, 2025
Review provided by G2
What do you like best about the product?
Approach to Agentic AI, presented during the demos
What do you dislike about the product?
Lack of Hands On Labs on the website. For developers its useful to try the Agentic approach in identifying areas of innovation
What problems is the product solving and how is that benefiting you?
We do not use Data Iku for now
Nirmala A.
Good
Reviewed on Apr 30, 2025
Review provided by G2
What do you like best about the product?
click and go approaches are easy and efficient
What do you dislike about the product?
I want to extract the code for the click and go operation that we conduct.
What problems is the product solving and how is that benefiting you?
increasing efficiency
Financial Services
Data science for non data scientists
Reviewed on Apr 30, 2025
Review provided by G2
What do you like best about the product?
Very intuitive interface, easy to configure and build intelligent models with.
What do you dislike about the product?
It sometimes just doesn’t work when you are executing models.
What problems is the product solving and how is that benefiting you?
Improving marketplace approvals