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What is Domino Enterprise AI Platform?

Domino is a powerful enterprise AI platform built to help organizations develop, deploy, and manage AI systems at scale while delivering measurable business value. It provides a unified environment that supports the entire AI lifecycle, from data exploration and experimentation to deployment and monitoring. The platform enables self-service data science by giving users secure access to datasets, development tools, and scalable compute resources such as CPUs and GPUs. Domino supports a wide range of AI applications, including machine learning models, generative AI solutions, and agent-based systems. Its orchestration capabilities allow organizations to run workloads across hybrid, multi-cloud, and on-premises environments with flexibility and efficiency. The platform includes robust governance features, such as model registries, audit trails, and automated policy enforcement, ensuring transparency and compliance. It also tracks experiments and model lineage, providing a complete system of record for AI development. Domino enhances collaboration by enabling teams to share insights, tools, and workflows across the enterprise. Cost optimization tools help manage infrastructure spending through autoscaling and resource monitoring. The platform integrates seamlessly with existing enterprise systems and supports industry-standard tools and frameworks. With strong security certifications and compliance support, it meets the needs of regulated industries. Overall, Domino enables organizations to industrialize AI, reduce risk, and accelerate innovation while maintaining full control over their AI operations.

What is Coder?

Coder provides self-hosted cloud development environments that are ready for immediate use by developers and provisioned as code. This solution is especially popular among enterprises, as it is open source and can be deployed either on-premise or in the cloud, maintaining robust infrastructure access while ensuring compliance with governance requirements. By centralizing development and source code management, Coder allows developers to connect to their remote environments using their favorite desktop or web-based integrated development environments (IDEs). This method significantly improves the overall developer experience, boosts productivity, and enhances security measures. Additionally, Coder features ephemeral development environments created from pre-defined templates, enabling developers to set up new workspaces in an instant. This efficiency minimizes the challenges associated with local dependency versioning and lengthy security approval processes, allowing developers to switch projects or onboard new ones within minutes. Furthermore, organizations can benefit from reduced setup times and increased flexibility in managing their development workflows.

Media

Media

Integrations Supported

Bitbucket
GitHub
GitLab
PyCharm
Amazon EC2 Trn2 Instances
Apache Zeppelin
JupyterLab
MATLAB
NVIDIA NGC
Okera
R
SPARK

Integrations Supported

Bitbucket
GitHub
GitLab
PyCharm
AWS Marketplace
Anthropic
Claude
Google Cloud Platform
HashiCorp Vault
Kubernetes
Microsoft Azure
PhpStorm

API Availability

Has API

API Availability

Has API

Pricing Information

Per user/per year
Free Trial Offered?

Pricing Information

Billed annually, per named user.
Free Version
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Domino Data Lab

Date Founded

2013

Company Location

United States

Company Website

www.dominodatalab.com

Company Facts

Organization Name

Coder

Date Founded

2016

Company Location

United States

Company Website

coder.com

Categories and Features

Agentic AI

Not specified

AI Cost Management

Not specified

AI Data Analytics

Not specified

AI Development

Not specified

AI Governance

Not specified

AI Infrastructure

Not specified

Data Management

Not specified

Data Science

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

Deep Learning

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Predictive Modeling
Statistical / Mathematical Tools

Categories and Features

AI Coding Agents

Not specified

AI Governance

Not specified

Data Science

Not specified

DevSecOps

Not specified

IDE

Not specified

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