Domino Data Science Platform

Domino Data Science Platform

Domino Data Science Platform

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What is Domino Data Science Platform?

Domino is an Enterprise MLOps platform boasting users among over 20% of the Fortune 100 to centralize data science work and weave models into the core fabric of their business. It is designed so data science teams get the tools they desire, the freedom and flexibility to experiment, and visibility…

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

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Product Details

What is Domino Data Science Platform?

Domino is an Enterprise MLOps platform boasting users among over 20% of the Fortune 100 to centralize data science work and weave models into the core fabric of their business. It is designed so data science teams get the tools they desire, the freedom and flexibility to experiment, and visibility into all prior work and knowledge so they can focus on their most pressing problems. And, IT teams can use the solution to satisfy their governance and security requirements, to scale data science.

The Domino platform provides components to scale data science.
  • Openness & Flexibility. Domino supports an ecosystem of open-source/commercial tools and infrastructure. Data scientists have self-serve access to their preferred IDEs, languages, and packages so they can focus on data science, not infrastructure. It also allows IT to consolidate disparate tools onto a single platform to reduce costs and support burden, and provide governance across a wide variety of tools, packages, etc. Domino prevents vendor lock-in by ensuring access to new tools and compute frameworks that emerge.
  • Reproducibility & Collaboration. Disparate tools and all types of data science artifacts (including code, package versions, parameters, comments, and more) are automatically tracked and integrated to establish full visibility, repeatability, and reproducibility at any time across the end-to-end lifecycle of every use case. Teams using different data science tools can compare experiment results and seamlessly collaborate on a project, with the ability to leverage valuable insights and harvest a flow of collective wisdom.
  • Model Velocity. Domino supports the lifecycle from ideation to production to explore data, train models, validate, deploy, monitor, and repeat – all in a single platform. Domino enables companies to professionalize their data science through common patterns and practices, with workflows that reduce friction and accelerate the lifecycle within each step and across key transitions, so all people involved in data science can maximize their productivity and the impact of their work.
  • Enterprise Scale. While disparate data science teams are free to use their preferred tools, packages, and infrastructure, all aspects of their work are centralized and orchestrated through Domino. This is so users can onboard quickly, find previous work, collaborate, and reproduce experiments. Domino establishes a system of record for data science to provide the security, governance, compliance, and all of the other elements that are required with the goal of enabling users to scale data science safely and universally across an organization.

Domino Data Science Platform Features

Platform Connectivity Features

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

Data Exploration Features

  • Supported: Interactive Data Analysis

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 Data Science Platform Downloadables

Domino Data Science Platform Integrations

Domino Data Science Platform Competitors

Domino Data Science Platform Technical Details

Deployment TypesOn-premise
Operating SystemsNot Applicable
Mobile ApplicationNo

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