Sold by: Domino Data Lab
Deployed on AWS
Scale data science using Domino's centralized, modern MLOps platform to build, monitor, manage, and govern your end-to-end data science lifecycle. Loved by data scientists and trusted by IT, Domino unleashes data science to accelerate time to value, increase collaboration, mitigate risks, and reduce costs.
4.3
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
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Deployed on AWS
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Features and programs
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Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
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 |
|---|---|---|
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 |
Dimension | Description | Cost/unit |
|---|---|---|
Domino Cloud Consumption Units (largely dependent on usage) | Domino Cloud Consumption Units (hosting costs and usage) | $1.00 |
Dimensions summary
This contract combines separate charges you select based on your setup. A platform fee covers the core software and comes in four variants: standard Domino Cloud, a Life Sciences GxP-ready version, a version with Nexus Data Plane, and a self-managed VPC Premium option. Hosting and usage are billed separately through Domino Cloud Consumption Units, which scale with how much you use. Practitioner licenses are sold in packs of five users. If you need extra self-managed data planes, you add them individually with installation support. You mix these dimensions to match your deployment and user count.
Top-of-mind questions for buyers
These units meter hosting costs and platform usage, separate from the fixed platform fee. They scale with how much compute and infrastructure your team consumes. Domino Cloud passes through cloud billing with no markups, so the units track your actual resource use rather than a flat rate.
You pay a chosen platform fee for the core software, add practitioner licenses in packs of five users, and pay Consumption Units for hosting and usage. These bill independently and add together. The platform fee is fixed, while Consumption Units vary with actual compute and infrastructure use.
The VPC Premium fee covers a self-managed platform you run in your own environment. The Domino Cloud fees cover a fully managed, single-tenant SaaS that Domino hosts and administers for you. Consumption Units apply to Domino Cloud hosting and usage; a self-managed setup runs on infrastructure you manage.
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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.
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.
Updated weekly
By Domino Data Lab
By Teradata
By Databricks, Inc.
Top
10
In Business Intelligence & Advanced Analytics, ML Solutions, Data Analytics
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In Databases & Analytics Platforms, ML Solutions, Data Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
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AI generated from product descriptions
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.
In-Engine Analytics Capabilities
Advanced in-engine analytics powered by ClearScape Analytics with high-performance compute and massive parallel processing capabilities
Open Table Format Support
Support for Apache Iceberg and Delta Lake open table formats with simultaneous connection to multiple open catalogs enabling cross-read, cross-write, and cross-query operations
Multi-Cloud Data Access
Access to data lakes across multi-cloud and multi-data-lake environments with compatibility for open file formats including Parquet and CSV
Python Integration
Integration with Python for calling analytics functions, executing Python code, and importing Python models directly into the engine with Jupyter Notebook access
Seamless Production Transition
Ability to transition and operationalize prototypes from development environment into VantageCloud production environment without data movement or infrastructure reconfiguration
Lakehouse Architecture
Unified data foundation built on lakehouse architecture providing open, unified foundation for data and governance with support for open standards and formats
Data Intelligence Engine
Powered by Data Intelligence Engine that enables organization-wide access to data and insights across all users and roles
Multi-Workload Unification
Consolidates data engineering, analytics, business intelligence, data science and machine learning workloads on a single common platform
Collaborative Development Environment
Native collaboration capabilities enabling data teams to collaborate across entire data and AI workflow
Open Source Foundation
Built on open source data projects and open standards to maximize flexibility and interoperability with existing data ecosystems
Standard contract
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Customer reviews
Shaarif G.
Loved the platform
Reviewed on Mar 17, 2025
Review provided by G2
What do you like best about the product?
Loved how it is helpful and flexible in connecting multiple cloud providers like AWS and AZURE.
What do you dislike about the product?
As a Indian customer, pricing is on higher side.
What problems is the product solving and how is that benefiting you?
Helped me to understand my dataset for ML model
Anush G.
Good to be True
Reviewed on Mar 17, 2025
Review provided by G2
What do you like best about the product?
Domino Enterprise AI Platform's interface is user friendly
What do you dislike about the product?
Color combination of user interface is not so attractive
What problems is the product solving and how is that benefiting you?
It solves my analyzing problem, and I used this analysis for my further research and take necessary decisions
Daniel Andres M.
Very pleasant experience using the platform
Reviewed on Mar 17, 2025
Review provided by G2
What do you like best about the product?
The ease of training models and data is exceptional.
What do you dislike about the product?
Perhaps needs a bit more guidance for beginners
What problems is the product solving and how is that benefiting you?
The training of models is so much easier and allows everything to happen within one platform
Shivesh R.
It was an pleasure experience to use Domino as non code AI platform for some of my Automate Job.
Reviewed on Mar 15, 2025
Review provided by G2
What do you like best about the product?
It's easy to deploy system. Compatibility with cloud platform. Handiling data securly and managing data. It's easy to integrate with AWS and other cloud enviroment.
What do you dislike about the product?
Not having easy to code ide Gradio present there and not able to do CV video task. As frequently using this platform so need to handle all short of data.
What problems is the product solving and how is that benefiting you?
It's easy to implement and anylayis of data on this platform and also easy to deploy it's model.
Swapna D.
My thoughts on working with Domino Enterprise AI Platform
Reviewed on Mar 15, 2025
Review provided by G2
What do you like best about the product?
Honestly, what I love the most is how Domino takes the friction out of the AI lifecycle. Before, we spent so much time just getting environments set up, chasing down dependencies, and trying to replicate results. It was a mess. Domino’s unified platform just eliminates so much of that overhead. I can’t stress that enough. When I hand off a project, I know the next person can pick it up and run it exactly as I did. And also we can use our existing cloud or non- prem resources, which saves us money and avoid vendor lock-in. We share code, data, and results are quite easy. The version control for models and experiments is a lifesaver for our team. Genuinely Domino’s helps us operationalise AI. It’s not about building models, it’s about getting them into production and driving real business value.
What do you dislike about the product?
Need some easier setup, faster plugin access.
What problems is the product solving and how is that benefiting you?
Domino is fundamentally solving the fragmentation and inconsistency. Before using it, we are constantly batting siloed data, disperate tools, and inconsistent environments. This led to massive inefficiencies, slows down our development cycles, and made it incredibly difficult to scale our models. First and foremost, this platform eliminated the need for data scientists to constantly switch between different tools and environments. Secondly, it also solved the It Works On My Machine problem. Because here we can easily replicate experiments and ensure that our models are consistent across different environments. And finally, Domino’s Expertise AI Platform facilities collaboration between data scientists, engineers and other stake holders. So that we can easily share code, data and results.