Discover the benefits of a central, cloud-based data science platform. Domino is an AWS Advanced Technology Partner.
AWS provides world-class infrastructure and security, while Domino adds capabilities specific to data science workflows. The result? Data scientists develop and deploy models faster. Their teams deliver sustained business value at scale.
The Right Foundation for Data Science Success
Work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk. Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards.
Together, Domino and AWS provide the right platform for measurable data science success.
Who Does Data Science on AWS with Domino
Monitoring usage of critical datasets and letting business users access powerful data science models for risk modeling.
Running 10x more experiments on alternative datasets, reducing time to get best trading strategies into the market.
Moving models into production 6x faster while improving competitiveness and customer value.
Accelerating genetic simulations and collaborating on models for optimizing crop yields.
Our Cloud, Your Cloud, or GovCloud
Use Domino’s multi-tenant cloud, or have your own isolated environment. Domino can run in a dedicated VPC in the AWS region of your choice, including GovCloud.
Get the most out of AWS with Domino
Start Real Collaboration
Distributed teams get a central hub where they can share work and build on ideas. Other stakeholders get visibility into the status of projects.
Run More Experiments
Easy access to AWS EC2 machines including GPUs and powerful servers. Run experiments faster and test more ideas to generate better models in less time.
Stay on the Cutting Edge
Domino’s open approach lets you choose from all the great open source tools in quantitative research. Easily try new packages without breaking others’ workspaces or production models.
Secure Your Most Valuable IP
Manage access on a project-by-project basis. Version and centrally store all critical assets, end siloed workflows of traditional data science and move work off the desktop.
Deploy to Production
Models can go into production as apps or REST APIs without a costly, time consuming DevOps process, and be supported by AWS high availability infrastructure.
Control Resources and Costs
Administrators get granular visibility into who is using resources and how they are used. Set resource limits, kill run-away jobs, and attribute costs back to users or teams.
