Overview
Domino's Enterprise AI Platform delivers unified, collaborative, and governed end-to-end AI. Customers can build, deploy, and manage AI with Domino's unified platform, and access the best data, tools, compute, models, and projects across any environment.
The Domino platform accelerates enterprise-grade AI by making it easy to access any tool, data, and infrastructure - on-demand. Data scientists can harness the latest open source and commercial innovations, and deploy, monitor and manage models quickly, on one platform.
Domino helps scale AI across the organization by centralizing and reusing knowledge across teams, upskilling everyone, and enabling collaboration between all stakeholders. And Domino helps customers manage AI risk and governance with an audit-ready platform with best-in-class reproducibility, turnkey model governance, monitoring and remediation, robust controls that simplify compliance.
Lastly, Domino helps reduce AI costs and complexity by optimizing compute utilization and cloud costs with intelligent cost management and controls, and automated DevOps.
Open & Comprehensive Access the broadest ecosystem of open source and commercial tools, and infrastructure, for the best innovations and no vendor lock-in. Domino offers data scientists one-click access to all their favorite open-source and commercial tools such as Jupyter, RStudio, SAS, Anaconda, and MATLAB, and distributed compute frameworks like Spark, Ray, Dask, and MPI.
One System of Record Domino creates a central hub for AI operations and knowledge across the enterprise, enabling best practices, cross-functional collaboration, faster innovation, and efficiency.
Integrated MLOps Workflows Integrated workflows and automation are built for enterprise processes, controls, and governance, to satisfy your compliance and regulatory needs.
Seamless Integration with Amazon SageMaker Domino accommodates diverse model deployment and hosting needs, including seamless integration with Amazon SageMaker. Export models for inference in SageMaker or access SageMaker models within Domino for flexible, IT-aligned operationalization. Easily add emerging tools as technology changes, future-proofing your data science and AI platform.
Hybrid & Multi-Cloud Ready You can run Domino in a public cloud, hybrid, or multi-cloud environment, with Domino Nexus. Keep AI close to your data to lower costs, address data locality and optimize performance.
Domino Hosting Options Choose from two delivery methods for Domino's Enterprise AI Platform - both licensed by user seats: Domino Cloud and Domino Cloud for Life Sciences, our fully-managed private SaaS, and Domino VPC, a self-managed Kubernetes-native application that is installed in your AWS account.
Domino Cloud Domino Cloud gives your team access to all of Domino in a matter of hours, without any administration. It's our fully-managed, private SaaS. Domino handles security patching, updates, backups, billing, and more. Customers pay per-user licensing plus monthly Domino Cloud Consumption Units (passthrough costs solely for utilized resources).
Domino Cloud for Life Sciences Domino Cloud for Life Sciences is a private SaaS designed to accelerate and streamline R&D with a unified, turnkey and audit-ready AI and SCE platform. It combines highly-scalable R&D tools and infrastructure with the traceability and governance required for GxP processes, and the tool, language and the workflow flexibility required for exploratory and non-GxP work. Powered by Court Square Group's ARCC (Audit-Ready Compliant Cloud), customers are responsible for their cloud hosting fees.
Domino VPC Use existing AWS infrastructure to self-manage the Domino platform. Domino is installed in your AWS account.
(Add-On) Domino Nexus With the addition of Domino Nexus, you have a single pane of glass that lets you run data science and AI workloads across any compute cluster - in any cloud, region, or on-premises. Contact sales@dominodatalab.com and learn more here: https://domino.ai/platform/nexus .
About Domino's User Licenses Domino offers two user licenses: a Data Science Professional License with full Domino capabilities for data scientists undertaking advanced analytical work and training models; and a Data Analyst License ideal for executing basic analytical work without accessing compute resources.
Highlights
- Self-Service Infrastructure Portal for one-click, governed access to the data, tools, and compute you and your team need.
- System of Record to increase productivity through compounding knowledge and making work reproducible and reusable.
- Integrated MLOps that lets you develop, deploy, and monitor models in one place using your preferred tools and languages.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Platform Fee - Domino Cloud for Life Sciences | GxP ready Domino Cloud platform (excluding hosting costs) | $100,000.00 |
Platform Fee - Domino Cloud | Domino Cloud platform (excluding hosting costs) | $50,000.00 |
Platform Fee - Domino Cloud w/Nexus | Domino Cloud platform (excluding hosting costs) and a Data Plane | $125,000.00 |
Platform Fee - Domino VPC Premium | Self-managed Domino platform | $150,000.00 |
Domino Practitioner Licenses (5) | Licenses for 5 practitioner users in Domino | $62,500.00 |
Additional Domino Nexus Data Plane | Additional self-managed Domino Data Plane (with installation support) | $75,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Description | Cost/unit |
|---|---|---|
Domino Cloud Consumption Units (largely dependent on usage) | Domino Cloud Consumption Units (hosting costs and usage) | $1.00 |
Vendor refund policy
We do not currently offer refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Content disclaimer
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
Domino comes with top rated support including phone, email and web based options. Contact Domino for more details. https://tickets.dominodatalab.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
Empowering Collaboration and Efficiency in Data Science Workflows
Reproducibility
Integration with Tools
Scalability
Automation and Workflow Orchestration
Security and Compliance Features
Model Deployment and Monitoring
User-Friendly Interface
Customer Support
Ease of Implementation
Frequency of use
Cost: Some users may express concerns about the cost
Customization Challenges: Depending on specific use cases, users might face challenges in customizing certain aspects of the platform to align with their unique requirements
Improved Reproducibility: Version control and experiment tracking contribute to the reproducibility of machine learning experiments.
Enhanced Scalability: The ability to scale resources and handle larger datasets supports the growth of machine learning projects.
Efficient Deployment and Monitoring: Streamlined model deployment and effective monitoring contribute to the successful integration of machine learning models into production.
Flexibility and Integration: Integration with diverse tools allows data scientists to work with familiar frameworks and libraries.