Sold by: Domino Data LabÂ
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.
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
Sold by
Delivery method
Deployed on AWS
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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 |
|---|---|---|
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 |
Vendor refund policy
We do not currently offer refunds, but you 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)Â .
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
Domino comes with top rated support including phone, email and web based options. Contact Domino for more details. https://tickets.dominodatalab.comÂ
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
Mixed reviews
Negative reviews
AI generated from product descriptions
Machine Learning Operations (MLOps)
Integrated workflows and automation for enterprise-level model development, deployment, and monitoring across diverse computational environments
Tool and Infrastructure Ecosystem
Comprehensive support for open-source and commercial tools including Jupyter, RStudio, SAS, Anaconda, MATLAB, and distributed computing frameworks like Spark, Ray, Dask, and MPI
Cloud Deployment Flexibility
Supports hybrid and multi-cloud deployment options, including public cloud, on-premises, and seamless integration with Amazon SageMaker
Collaborative Knowledge Management
Centralized platform for cross-functional collaboration, knowledge sharing, and reproducible data science work across enterprise teams
Governance and Compliance Framework
Built-in audit-ready controls, model governance, monitoring, and reproducibility mechanisms for enterprise-level AI risk management
Data Lake Compatibility
Supports Apache Iceberg and Delta Lake open table formats with simultaneous connection to multiple open catalogs
Compute Processing
Utilizes high-performance massive parallel processing capabilities for analytics and data exploration
Programming Language Integration
Direct integration with Python for calling analytics functions, executing code, and importing Python models
Open File Format Support
Compatibility with open file formats including Parquet and CSV, with access from Jupyter Notebook
Multi-Cloud Data Access
Enables cross-read, cross-write, and cross-query of data stored in multi-cloud and multi-data-lake environments
Data Platform Architecture
Unified platform integrating data engineering, analytics, business intelligence, data science, and machine learning on a single architecture
Open Source Foundation
Built on open source data projects with support for open standards and data formats
Lakehouse Infrastructure
Provides a common data management approach using a lakehouse architecture running on Amazon S3
Data Intelligence Engine
Advanced engine capable of interpreting organizational data context and enabling broad data access across teams
Collaborative Workflow
Native collaboration capabilities enabling cross-functional data and AI workflow integration
Standard contract
No
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Customer reviews
0 ratings
0 AWS reviews
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29 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Shaarif G.
Aimé la plateforme
Reviewed on Mar 17, 2025
Review provided by G2
Qu'aimez-vous le plus Ă propos de the product?
Aimé comment il est utile et flexible pour connecter plusieurs fournisseurs de cloud comme AWS et AZURE.
Que n’aimez-vous pas à propos de the product?
En tant que client indien, les prix sont élevés.
Quels sont les problèmes que the product résout, et en quoi cela vous est-il bénéfique?
M'a aidé à comprendre mon ensemble de données pour le modèle d'apprentissage automatique.
Anush G.
Bon Ă ĂŞtre vrai
Reviewed on Mar 17, 2025
Review provided by G2
Qu'aimez-vous le plus Ă propos de the product?
L'interface de la plateforme Domino Enterprise AI est conviviale.
Que n’aimez-vous pas à propos de the product?
La combinaison de couleurs de l'interface utilisateur n'est pas très attrayante.
Quels sont les problèmes que the product résout, et en quoi cela vous est-il bénéfique?
Cela résout mon problème d'analyse, et j'ai utilisé cette analyse pour mes recherches ultérieures et prendre les décisions nécessaires.
Daniel Andres M.
Très agréable expérience en utilisant la plateforme.
Reviewed on Mar 17, 2025
Review provided by G2
Qu'aimez-vous le plus Ă propos de the product?
La facilité de formation des modèles et des données est exceptionnelle.
Que n’aimez-vous pas à propos de the product?
Peut-être nécessite un peu plus d'orientation pour les débutants.
Quels sont les problèmes que the product résout, et en quoi cela vous est-il bénéfique?
La formation des modèles est tellement plus facile et permet à tout de se dérouler sur une seule plateforme.
Shivesh R.
C'était une expérience agréable d'utiliser Domino comme plateforme d'IA sans code pour certains de mes travaux d'automatisation.
Reviewed on Mar 15, 2025
Review provided by G2
Qu'aimez-vous le plus Ă propos de the product?
C'est facile de déployer le système. Compatibilité avec la plateforme cloud. Gestion sécurisée des données et gestion des données. C'est facile d'intégrer avec AWS et d'autres environnements cloud.
Que n’aimez-vous pas à propos de the product?
Ne pas avoir d'IDE facile à coder Gradio présent là et ne pas pouvoir faire la tâche vidéo CV. Comme utilisant fréquemment cette plateforme, donc besoin de gérer toutes sortes de données.
Quels sont les problèmes que the product résout, et en quoi cela vous est-il bénéfique?
C'est facile à mettre en œuvre et à analyser des données sur cette plateforme et également facile de déployer son modèle.
Swapna D.
Mes réflexions sur le travail avec la plateforme Domino Enterprise AI
Reviewed on Mar 15, 2025
Review provided by G2
Qu'aimez-vous le plus Ă propos de the product?
Honnêtement, ce que j'aime le plus, c'est la façon dont Domino élimine les frictions du cycle de vie de l'IA. Avant, nous passions tellement de temps à configurer les environnements, à traquer les dépendances et à essayer de reproduire les résultats. C'était un désordre. La plateforme unifiée de Domino élimine tellement de cette surcharge. Je ne peux pas le souligner assez. Quand je transmets un projet, je sais que la personne suivante peut le reprendre et l'exécuter exactement comme je l'ai fait. Et aussi, nous pouvons utiliser nos ressources cloud existantes ou non-prem, ce qui nous permet d'économiser de l'argent et d'éviter l'enfermement propriétaire. Nous partageons le code, les données et les résultats sont assez faciles. Le contrôle de version pour les modèles et les expériences est un sauveur pour notre équipe. Sincèrement, Domino nous aide à opérationnaliser l'IA. Ce n'est pas une question de construire des modèles, c'est de les mettre en production et de générer une véritable valeur commerciale.
Que n’aimez-vous pas à propos de the product?
Besoin d'une configuration plus facile, d'un accès plus rapide aux plugins.
Quels sont les problèmes que the product résout, et en quoi cela vous est-il bénéfique?
Domino résout fondamentalement la fragmentation et l'incohérence. Avant de l'utiliser, nous luttons constamment contre des données cloisonnées, des outils disparates et des environnements incohérents. Cela a conduit à des inefficacités massives, ralentit nos cycles de développement et rendait incroyablement difficile la mise à l'échelle de nos modèles. Tout d'abord, cette plateforme a éliminé le besoin pour les data scientists de passer constamment d'un outil et d'un environnement à un autre. Deuxièmement, elle a également résolu le problème du Ça Marche Sur Ma Machine. Car ici, nous pouvons facilement reproduire des expériences et garantir que nos modèles sont cohérents dans différents environnements. Enfin, la plateforme Expertise AI de Domino facilite la collaboration entre les data scientists, les ingénieurs et d'autres parties prenantes. Ainsi, nous pouvons facilement partager du code, des données et des résultats.