Domino Enterprise MLOps Platform Description

The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality, and impact of data science at scale. Domino is open and flexible, empowering 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 Self-Service Infrastructure Portal makes data science teams become more productive with easy 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 powerful reproducibility engine, search and knowledge management, and integrated project management. Teams can easily find, reuse, reproduce, and build on any data science work to amplify innovation.

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Pricing

Pricing Information:
Per user/per year
Free Trial:
Yes

Integrations

API:
Yes, Domino Enterprise MLOps Platform has an API
View Integrations

Reviews - 1 Verified Review

Total
ease
features
design
support
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Company Details

Company:
Domino Data Lab
Year Founded:
2013
Headquarters:
United States
Website:
www.dominodatalab.com
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Media

Play Video The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale. The Self-Service Infrastructure Portal makes data science teams more productive with easy 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. 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 powerful reproducibility engine, search and knowledge management, and integrated project management. Teams can easily find, reuse, reproduce, and build on any data science work to amplify innovation. Model monitoring capabilities ensure that all production models maintain peak performance. Automated alerts provide notification when data and quality drift occurs so you can easily re-train, rebuild, and re-publish your model. 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, so you have one place to build, deploy, and monitor models.
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Product Details

Platforms
Web-Based
On-Premises
Types of Training
Training Docs
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support

Domino Enterprise MLOps Platform Features and Options

Machine Learning Software

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Data Science Software

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Deep Learning Software

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Domino Enterprise MLOps Platform Lists

Domino Enterprise MLOps Platform User Reviews

Write a Review
  • Name: Navneet N.
    Job Title: Software Developer
    Length of product use: 1-2 Years
    Used How Often?: Weekly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    DDSP

    Date: Dec 18 2020

    Summary: Overall, if you want a notebook-based environment, this will suit you the best. It is powerful and easy to use with tons of great features.

    Positive: Domino Data Science has the following pros:
    - Great Customer service.
    - Flexibility with notebooks and the ability to define your environment as per your needs.
    - Collaboration is very much easy with this software.
    - Launches Quickly and easily scalable of Kubernetes infrastructure.

    Negative: The only cons that I found with this software were that the datasets are not accessible outside the platform. Other than that, this works fine for me.

    Read More...
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