Sold by: Dataiku
Accelerate Enterprise AI with Dataiku on AWS
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
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
Ashley H.
Great product for pipeline development
Reviewed on Apr 14, 2025
Review provided by G2
What do you like best about the product?
Dataiku makes it really easy to organize and develop a data pipeline. Especially if your team works on the same pipelines together, it's really easy to co-work. I love how modular I'm able to make my flow and that I can alternate between SQL/R/Python seamlessly.
What do you dislike about the product?
Sometimes the error messages are really confusing and not helpful, especially if you're running a query downstream.
What problems is the product solving and how is that benefiting you?
Before using Dataiku we struggled to manage large data pipelines in snowflake. Having to save a series of 20+ queries without any kind of visual representation of how they flow into each other was difficult. It was also hard to co-work on the same pipelines, especially since my team works remote. Having dataiku allows us to visually see our entire data flow, which is often over 100 queries. It's also easy to co-work. We can also apply machine learning to a dataset without having to write out a code for it since Dataiku has it built in.
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Austin L.
Streamlined Low-code/No-code ETL and ML Platform
Reviewed on Apr 09, 2025
Review provided by G2
What do you like best about the product?
I have been using Dataiku for over 3 years and it has made my day-to-day work more efficient. It is easy for me to set up ML models and build data pipelines in a short amount of time.
What do you dislike about the product?
I think that Dataiku could develop a stronger online forum for users to come and share about their experiences using the platform.
What problems is the product solving and how is that benefiting you?
Dataiku accelerates ML and data processing work. This helps me directly by speeding up the time-to-delivery of the models I build.
Biotechnology
Comprehensive Data/AI workflows & Orchestration solution accessible to many enterprise user profiles
Reviewed on Apr 04, 2025
Review provided by G2
What do you like best about the product?
The ability of Dataiku to serve the most advanced users, as well as business stakeholders. The flexibility and completeness of capabilities. A very strong potential for becoming a reference for AI workflow and orchestration.
What do you dislike about the product?
Still a bit scary for new users, with a lot of buttons. But definitly worth the intial investment to make the first step. Significant admin work to ensure things run smoothly for end users.
What problems is the product solving and how is that benefiting you?
Creates a collaborative space for business users and digital teams to develop advanced use cases. Makes AI workflows and data prep accessible to business users.
Real Estate
Dataiku creates the big picture overview you need for your data projects
Reviewed on Apr 04, 2025
Review provided by G2
What do you like best about the product?
I can step into a project with relative limited knowledge, but because of the flow overview I immediately have rough idea what is going on. This is very valuable and makes it easy for different team members to work on a project.
What do you dislike about the product?
Sometimes proprietory code has to written because you work in Dataiku. But overall this is quite limited.
What problems is the product solving and how is that benefiting you?
We solve Real Estate analysis problems using AI. The setup with Dataiku is helpful because not everyone is very tech savy, and the non-code options make the platform accessible to everyone.
Chemicals
A comprehensive/complete tool for data science
Reviewed on Apr 03, 2025
Review provided by G2
What do you like best about the product?
versatility: visual, low code, API
integration (wiki, dashboards, flow, models)
connectivity (Databricks)
ease of use for basic applications
immediate support
integration (wiki, dashboards, flow, models)
connectivity (Databricks)
ease of use for basic applications
immediate support
What do you dislike about the product?
quite expensive subscription
limitations in flow output (images)
steep learning curve for specific projects
limitations in flow output (images)
steep learning curve for specific projects
What problems is the product solving and how is that benefiting you?
Creation Machine learning models for feature analysis and predictions
Time series analysis and modeling
easy implementation (hyperparameter, comparison models, visualizations)
dokumentation (wiki)
visibility/visualization via flow
Time series analysis and modeling
easy implementation (hyperparameter, comparison models, visualizations)
dokumentation (wiki)
visibility/visualization via flow