AWS Free Tier
Dataiku makes data and AI projects a team sport, bringing intelligence to all. From AI builders to AI consumers.
Overview
This version of Dataiku allows you to deploy a fully functional single DSS node in your AWS environment to be used for prototyping, testing and understanding the full extent of Dataiku capabilities.
With Dataiku 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
Get started today with Dataiku on AWS!
Highlights
- Use the Free (limited) version or unlock the 14 days trial of the Enterprise edition to discover the power and benefits of Dataiku.
- Empower more users to clean and enrich data, build advanced data pipelines and machine learning models in a visual interface.
- Take full advantage of your investment in the AWS platform with Dataiku unique push down to Amazon storage and compute.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
OtherLinux 8
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 and entitlements for this product are managed outside of AWS Marketplace through an external billing relationship between you and the vendor. You activate the product by supplying an existing license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. Subscriptions have no end date and may be cancelled any time. However, the cancellation won't affect the status of an active license if it was purchased outside of AWS Marketplace.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
Refunds are not provided, but one can cancel at any time.
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
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Please read at https://doc.dataiku.com/dss/latest/release_notes/index.html
Additional details
Usage instructions
Browse to http(s)://INSTANCE_PUBLIC_ADDRESS/
You might need to wait few minutes that the instance starts and initializes.
You will have a first authentication to prove that you're the owner of the instance (with a basic access authentication):
- login = instance id
- password = empty
Then, you will have access to Dataiku DSS visual interface. Note that only Chrome and Firefox are supported.
Administrative (command-line) access can be obtained through ssh centos@INSTANCE_PUBLIC_ADDRESS. A standard installation of Dataiku DSS runs under linux user account "dataiku".
For additional information, or any issue, please see our resources and Q & A pages.
Resources
Vendor resources
Support
Vendor support
Community Support for the Free Version
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.
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Customer reviews
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.
Leave a comment0 comments
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
Computer Software
Functional Data Management and Analytics Tool
Reviewed on Jul 17, 2024
Review provided by G2
What do you like best about the product?
Dataiqu has a user-friendly interface that simplified data management and analysis for my team. It allows for great collaboration, allowing my team to share data and work together on projects.
What do you dislike about the product?
While Dataiku's user-friendly interface is nice, the platform isn't as powerful as others. Like any new software, there is a bit of a learning curve when getting started.
Lastly, my team found that the performance can be sluggish with large datasets.
Lastly, my team found that the performance can be sluggish with large datasets.
What problems is the product solving and how is that benefiting you?
Dataiku allows my team to prepare, analyze and collaborate on large datasets. It prevents us from working in a silo and allows us to share insights and use our collective ideas to further our marketing efforts.