About Domino Enterprise MLOps Platform

Domino Enterprise MLOps Platform is a collaboration and deployment environment for data science teams. It supports model development with version control, experiment tracking, and reproducible workflows, then manages deployment and monitoring across environments. Teams can access datasets, visualize performance, and apply governance controls for secure delivery. The platform integrates with common data tools and cloud services to scale projects. Key capabilities: Collaborative model development and experiment tracking Automated workflows and reproducible pipelines Model deployment across environments Performance monitoring and governance controls Data access and integration with cloud tools Best for: Enterprises operationalizing machine learning at scale.

Domino Enterprise MLOps Platform Details

Vendor
Domino Data Lab
Year Launched
2013
Location
Domino Data Lab 548 Market St #22287 San Francisco, CA 94104
Deployment
cloud
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Dutch, Portuguese, Japanese, Russian, Chinese
Users
Data Scientist, Data Engineer, Machine Learning Engineer, Data Analyst, Business Analyst, Risk Manager
Industries Served
Life science, Finance, Public Sector, Retail, Manufacturing
Tags
Analytics, Machine Learning, Data Analysis, Predictive Analytics, Data Science, and Data Mining Technology

Domino Enterprise MLOps Platform's In-App Market Place

Does Domino Enterprise MLOps Platform have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), INR (₹), SGD (S$), HKD (HK$), KRW (₩), NZD (NZ$), NOK (kr), MXN (Mex$), ZAR (R), BRL (R$)

Pros & Cons

  • 1. Robust Collaboration Features: Enhances teamwork among data scientists.
  • 2. Comprehensive MLOps Solutions: Covers the entire ML lifecycle from development to deployment.
  • 3. User-Friendly Interface: Designed to be accessible for data scientists and engineers.
  • 4. Scalability: Suitable for both small teams and large enterprises.
  • 5. Strong Monitoring Tools: Offers excellent capabilities for tracking model performance.
  • 1. Complexity for New Users: Some features may require a learning curve for new users.
  • 2. Dependence on Data Quality: Effectiveness is reliant on high-quality data input.
  • 3. Limited Market Recognition: As a specialized solution, it may not be as widely recognized as general-purpose tools.
  • 4. Integration Challenges: Initial setup may require technical expertise for certain integrations.

Domino Enterprise MLOps Platform's Support Options

Chatbot

Available

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