Sold by: DataRobot
Deployed on AWS
DataRobot is the world's leading end-to-end platform for building, governing & scaling generative + predictive AI on AWS.
Overview
DataRobot Enterprise AI Suite delivers a unified experience to design, deploy, and govern AI-powered applications across the full lifecycle - from data prep and multi-modal model training to agentic orchestration and real-time monitoring. DataRobot now features a brand-new UI, a composable GenAI App Builder, and AI-Ready Data pipelines that slash time-to-value for LLM and classical ML workloads. Organizations leverage DataRobot to accelerate business outcomes while meeting stringent security and compliance requirements - fully optimized for AWS services and infrastructure.
DataRobot is also the partner of choice for SAP customers across industries, where it accelerates delivery of AI-powered solutions for a variety of use cases. DataRobot's AI templates and AI Platform enable customers to rapidly leverage their SAP business data to deliver meaningful AI apps that can be leveraged across lines of business. Whether it's generating high-quality forecasts, accurate predictions, or AI-driven recommendations, DataRobot's templates can be either pre-configured or fully customized to meet business value needs.
Highlights
- Composable AI Apps & Agents: Low-code builder for predictive, generative, and agentic workflows
- Built-in Governance & Observability: Secure, audit, & monitor every model, prompt, and workflow
- Any Deployment, One Platform: SaaS, Dedicated Managed AI Cloud, or self-managed in your VPC
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, and additional usage. 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. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
DataRobot AI Platform - Private Offers Only - Contact Us | Contact your DR Account Manager or aws@datarobot.com for private offer | $0.01 |
Dimension | Cost/unit |
|---|---|
Additional usage as defined in private offer contract | $0.01 |
Vendor refund policy
No refunds accepted
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
email and telephone support available support@datarobot.com
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
Shubham R.
DataRobot review for modeling data science project
Reviewed on Oct 20, 2023
Review provided by G2
What do you like best about the product?
It basically helps in deploying and modelling ML models. It is automated technology that helps us in data preprocessing, feature engineering choosing the best model and even hyperparameter tuning. It is time-saving and can handle large data. and always choose best model for our project.
What do you dislike about the product?
it is costly and not as good as IBM Watson. Sometime it does not gives us the best model and we have to choose ourselves and also customization are limited
What problems is the product solving and how is that benefiting you?
Time saving in choosing the best model and data pre-processing.
Leave a comment0 comments
Nikolaos T.
Customer Lifetime Value Predictions
Reviewed on Jan 18, 2022
Review provided by G2
What do you like best about the product?
Automated feature engineering, multiple algorithms trained, automated comparisons
What do you dislike about the product?
Limited applications in probabilistic and neural network applications for Customer Lifetime Value prediction
What problems is the product solving and how is that benefiting you?
Forecasting and automated outputs
Financial Services
Algorithmia - Eliminating the dependency on dev ops
Reviewed on Jan 28, 2020
Review provided by G2
What do you like best about the product?
Algorithmia has really put the power back in the hands of our data scientists and R&D developers. One of the key bottlenecks our organization faced was pushing code from dev into production, due to the time spent containerizing our code and the skillset required to do so. Especially in situations when we are constantly iterating and publishing new versions, the ability to containerize without support from dev ops is extremely powerful.
What do you dislike about the product?
Two of the main areas for improvement would be parity with Azure repos and more business-focused reporting of platform consumption. We have stakeholders in both technical and business areas, and struggle to communicate this across teams. Additionally, SAS is a very popular language in our line of business, which Algorithmia does not currently support.
What problems is the product solving and how is that benefiting you?
In addition to the bottleneck from code containerization, Algorithmia has also helped our team with knowledge transfer. Our organization is a large, global company and we have had difficulty in the past with sharing code across teams. Algorithmia has become a centralized platform for our teams to work.
Architecture & Planning
It very easy to setup and run any AI model, low maintenance and good customer spport
Reviewed on Jan 23, 2020
Review provided by G2
What do you like best about the product?
Turn key solution to run any AI/NLP model.
1. Easy deployment and hassle free
2. Version management which will help to test any version.
3. GPU support
1. Easy deployment and hassle free
2. Version management which will help to test any version.
3. GPU support
What do you dislike about the product?
1. Cost is too high for statups
2. More documents
2. More documents
What problems is the product solving and how is that benefiting you?
1. Deployment problem.
2. Vertical scale
3. Maintenance
2. Vertical scale
3. Maintenance
Recommendations to others considering the product:
Turn key solution to deploy & run any AI/NLP model and hassle free.
Michael B.
Also able to develop automated algorithms for energy efficiency and saving applications
Reviewed on Oct 26, 2019
Review provided by G2
What do you like best about the product?
At Freiburger Energieoptimierung UG (www.frenop.de), DataRobot accelerated the pace of our analytics applied to energy efficiency and savings. Our team is integrated of Physicians who have a great knowledge of physical behaviors but we don’t have the time and the resources to develop a platform where we can analyze data from energy applications. DataRobot offers us automated solutions that are contributing for faster energy data analysis and also new discoveries with Machine Learning. The interface is very easy to use.
What do you dislike about the product?
DataRobot showed us that we need to have more data in order to proceed with some routines. Now we are investing more in time in finding this data in the real world so we can put it into these machine learning algorithms.
What problems is the product solving and how is that benefiting you?
It helping us with everything related to data visualization, data analytics, discovery of patterns, automation of behaviors, tracking of information, definition of different scenarios, controlling issues, performances, etc…