Dataiku makes data and AI projects a team sport, bringing intelligence to all - from AI builders to AI consumers.
Overview
With Dataiku's 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
Throughout the process, Dataiku's expert team and comprehensive learning curriculum support the rollout of the tools and data science practices to help enterprises adopt AI at scale.
Need something different? For other packages and options please contact us at AWS@dataiku.com
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 contract duration. You pay upfront or in installments according to your contract terms 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.
Dimension | Description | Cost/12 months |
|---|---|---|
Discover Annual Edition | Up to 5 users, 20+ DB connectors, limited automation, standard support | $80,000.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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
Top
10
In Data Analytics, Databases & Analytics Platforms, ML Solutions
Top
10
In Data Preparation
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 Ingestion and Manipulation
Ingest and manipulate a wide variety of data including Athena, Redshift and more, from the AWS ecosystem and beyond
Collaborative AI Platform
Visual, end-to-end collaborative AI platform that enables data scientists, business analysts, and data teams to deliver more projects and more value from analytics and AI
AWS Integration
Natively integrates with AWS Services and products to enable organizations of any size to deliver enterprise AI at scale
Automated Tasks
Automate repetitive tasks and efficiently collaborate with stakeholders
Deployment Acceleration
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
Unified Data Platform
Provides a simplified data architecture by unifying data, analytics and AI workloads on one common platform running on Amazon S3
Open Standards and Formats
Built on top of the world's most successful open source data projects, the Lakehouse Platform unifies your data ecosystem with open standards and formats
Collaborative Data and AI Workflow
With native collaboration capabilities, the Databricks Lakehouse Platform unifies data teams to collaborate across the entire data and AI workflow
Drag-and-Drop Interface
Features a drag-and-drop interface with 300+ analytic building blocks that allows users to easily create and automate data workflows.
Cloud-Native Experience
A browser-based, cloud-native experience that reduces the time, technical skills, and costs required to build and automate data pipelines
Automated Machine Learning
Business experts of any skillset can use Alteryx Machine Learning for high-value data science and ML use cases, with automated machine learning (AutoML) and feature engineering.
AI-Generated Insights
With its AI capabilities, Alteryx Auto Insights provides quick insights with dashboards and storytelling that can be applied across your entire organization.
Enterprise-Grade Platform
Deploy with enterprise scale, security, governance, and management
Standard contract
No
No
Customer reviews
Retail
Dataiku is very handy for advanced Data Analytics
Reviewed on Jul 23, 2024
Review provided by G2
What do you like best about the product?
Dataiku is very handy for advanced Data Analytics without need of any code,
Many business users especially from non analytics background people feels very isnightful using Dataiku. company CEO's top management people use this to get business insghts and I recommend this to every organisation to have such a great tool to get Business insights whcih can help in any analysis.
Many business users especially from non analytics background people feels very isnightful using Dataiku. company CEO's top management people use this to get business insghts and I recommend this to every organisation to have such a great tool to get Business insights whcih can help in any analysis.
What do you dislike about the product?
I dont htink it has any dislikes. It is very good
What problems is the product solving and how is that benefiting you?
Suppy chain analytics, Demand Forecasting, Marketing and Promotional anlaytics in Retail, CPG, Oil and Gas domain
Leave a comment0 comments
Akhilesh D.
Dataiku for Grad Student
Reviewed on Jul 18, 2024
Review provided by G2
What do you like best about the product?
Dataiku's interface is intuitive and easy to navigate, making it accessible for students who are new to data science. The drag-and-drop functionality and clear visual representation of data pipelines help in understanding complex workflows. Even with limited coding experience, I was able to build robust data models and analytics pipelines with ease.
What do you dislike about the product?
Can be resource-intensive, requiring robust hardware for optimal performance
Advanced features might have a steep learning curve for beginners
Pricing can be high for students and small projects
Advanced features might have a steep learning curve for beginners
Pricing can be high for students and small projects
What problems is the product solving and how is that benefiting you?
As an Indian student in the ML domain, I focus on solving business problems such as predicting consumer behavior to improve marketing strategies, performing sentiment analysis for brand monitoring, and optimizing SEO to enhance website visibility. I also work on fraud detection in online transactions, developing personalized recommendation systems to boost user engagement, and optimizing supply chain operations through predictive analytics. These solutions help businesses in the confectionery and CPG sectors drive growth and efficiency.
E-Learning
ML
Reviewed on Jul 18, 2024
Review provided by G2
What do you like best about the product?
model implementation is very good to understand
What do you dislike about the product?
website design may be modified in few areas
What problems is the product solving and how is that benefiting you?
learning about data and ML
Shreneel K.
Best AI Tool Available 2024
Reviewed on Jul 18, 2024
Review provided by G2
What do you like best about the product?
It's a platform that has all the functionalities that are needed by a developer on an everyday basis. Its so easy to use and integrate that the implementation can be done within a short amount of time. It has an excellent customer support that I would definitely use it frequently.
What do you dislike about the product?
For now I am satisfied by all the features it offers.
What problems is the product solving and how is that benefiting you?
It helped me deploy a code that was just in the execution phase and deliver it to my team so that they could use it everyday. Otherwise that code would have come into production.
Vaishak H.
very good
Reviewed on Jul 17, 2024
Review provided by G2
What do you like best about the product?
it is really helpful in cleaning and processing data
What do you dislike about the product?
i have nothing to dislike about Dataiku as of now
What problems is the product solving and how is that benefiting you?
Organising data