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Domino Enterprise MLOps Platform

Domino Enterprise MLOps Platform

Overview

What is Domino Enterprise MLOps Platform?

The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale. Domino is presented as open and flexible, to empower professional data scientists to use their preferred tools and infrastructure. Data…

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Pricing

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What is Domino Enterprise MLOps Platform?

The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale. Domino is presented as open and flexible, to empower professional data scientists to use their preferred tools and infrastructure. Data science models get into…

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://domino.ai/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Demo of the Domino Enterprise MLOps Platform

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Product Details

What is Domino Enterprise MLOps Platform?

The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale. Domino is presented as open and flexible, to empower professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect.

The Domino Enterprise MLOps platform comprises three essential layers:
  • The Self-Service Infrastructure Portal makes data science teams become more productive with access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming and tedious DevOps tasks, data scientists can focus on the tasks at hand.
  • The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle.
  • The System of Record has a reproducibility engine, search and knowledge management, and integrated project management. Teams can find, reuse, reproduce, and build on any data science work to amplify innovation.
What makes Domino unique?
  • It's Open & Flexible. Domino supports an ecosystem of open-source and commercial tools and infrastructure. The vendor states this differentiates it from Sagemaker which is AWS-specific or Databricks which is tied to Spark. Domino is an open system and its architecture supports on-premise, cloud, and hybrid environments for more flexibility. Domino supports tools, packages, and compute frameworks such as Spark, Ray, and Dask.
  • It's Built for Teams. Domino is designed for data science at scale. Teams using different tools can collaborate on projects and rely on Domino to automatically track all data science artifacts. Domino establishes full visibility, repeatability, and reproducibility at any time for every use case. Dashboards let managers set project goals and inspect in-flight work.
  • Its focus is on Integrated Workflows. Domino integrates workflows to accelerate the full lifecycle from experiment to production. For example, Domino automatically sets up prediction data capture pipelines and model monitoring for deployed models to ensure peak model performance. Everyone can use end-to-end workflows with common patterns and practices, regardless of their preferred tools. Domino’s integrated approach helps users involved in data science to maximize their productivity.

Domino Enterprise MLOps Platform Features

Platform Connectivity Features

  • Supported: Connect to Multiple Data Sources
  • Supported: Extend Existing Data Sources

Data Exploration Features

  • Supported: Interactive Data Analysis

Data Preparation Features

  • Supported: Data Transformations

Platform Data Modeling Features

  • Supported: Multiple Model Development Languages and Tools
  • Supported: Single platform for multiple model development
  • Supported: Self-Service Model Delivery

Model Deployment Features

  • Supported: Flexible Model Publishing Options
  • Supported: Security, Governance, and Cost Controls

Additional Features

  • Supported: Collaboration
  • Supported: Reproducibility
  • Supported: Enterprise Scale

Domino Enterprise MLOps Platform Screenshots

Screenshot of The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale.Screenshot of The Self-Service Infrastructure Portal makes data science teams more productive with access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming DevOps tasks, data scientists can focus on the tasks at hand.Screenshot of The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle.Screenshot of The System of Record has a reproducibility engine, search and knowledge management, and integrated project management. Teams can find, reuse, reproduce, and build on any data science work to amplify innovation.Screenshot of Model monitoring capabilities ensure that all production models maintain peak performance. Automated alerts provide notification when data and quality drift occurs so users can re-train, rebuild, and re-publish the model.Screenshot of Nexus is a single pane of glass to run data science and ML workloads across any compute cluster — in any cloud, region, or on-premises. It unifies data science silos across the enterprise, providing one place to build, deploy, and monitor models.

Domino Enterprise MLOps Platform Videos

The Domino Enterprise MLOps platform helps to improve the speed, quality, and impact of data science at scale. Domino helps organizations mature data science from ad hoc experiments to a holistic system to unleash data science.
This demo of the Domino Enterprise MLOps Platform shows how it can eliminate infrastructure friction, foster collaboration, and improve model velocity.
Domino Nexus is a single pane of glass used to run data science and machine learning workloads across any compute cluster — in any cloud, region, or on-premises. It unifies data science silos across the enterprise, providing one place to build, deploy, and monitor models.

Domino Enterprise MLOps Platform Competitors

Domino Enterprise MLOps Platform Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsNot Applicable
Mobile ApplicationNo
Supported LanguagesEnglish

Domino Enterprise MLOps Platform Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)0%
Mid-Size Companies (51-500 employees)0%
Enterprises (more than 500 employees)100%
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