Sold by: Dataiku
Deployed on AWS
Accelerate Enterprise AI with Dataiku on AWS
4.4
Overview
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Dataiku 3-Minute Demo
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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.
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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
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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.
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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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By Databricks, Inc.
By Domino Data Lab
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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
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Customer reviews
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.
Anonymous
Visual Flow Ease, Coding Pilot Needs Work
Reviewed on Jun 17, 2026
Review provided by G2
What do you like best about the product?
I really like probably seeing the flow visually with Dataiku. It's helpful having the visual recipes too if I don't wanna write code.
What do you dislike about the product?
The coding pilot doesn't work for me. I don't know if that's just a Boeing restriction that we don't have it activated. So I have to go to a third party AI tool if I wanna use the coding agent.
What problems is the product solving and how is that benefiting you?
I use Dataiku to build a part recommender pipeline, and it solves the problem of explaining the code easily to customers because of its visual flow.
Aparna S.
Superb Tool for Data Governance and AI Success
Reviewed on Jun 17, 2026
Review provided by G2
What do you like best about the product?
I really appreciate the AI success with Dataiku. It's something I'm genuinely interested in, and it has been a great experience. The tool resolved our data governance issues, made our AI projects successful, and its orchestration along with people integration into our data systems has been great. The initial setup was pretty easy, thanks to a support team that helped us. Overall, my experience with Dataiku has been very positive, and I would definitely recommend it.
What do you dislike about the product?
I think we can add agent tech and expand it to white coding. Also, adding some data intelligence BI would be beneficial.
What problems is the product solving and how is that benefiting you?
Dataiku resolved our data governance issues and facilitated successful AI integration. It improved orchestration and integration across all our data systems.
Airlines/Aviation
Easy for New Users, but Integrating with Existing Orchestration Tools Was Challenging
Reviewed on Jun 17, 2026
Review provided by G2
What do you like best about the product?
The interface allows people with little experience to get up to speed and to start to deliver quickly. Complex solutions and capabilities are there, but are also insulated from over whelmed new users.
What do you dislike about the product?
The data iku environment is very self contained and works seamlessly with its own components, however we struggled when we wanted to integrate with some of our other existing orchestration tools.
What problems is the product solving and how is that benefiting you?
Integration of our loyalty and booking patterns