Open Data Science
Agility to adopt new tools and data sources is critical to drive innovation and retain talent. With Domino's Enterprise MLOps Platform, you can.
Software and environment management
Up to date, centrally provisioned toolkit
Maximize productivity and collaboration by using the right tools for the job, accessed from a secure governed platform. No more bespoke laptops!
Domino provides one-click access to a wide variety of open-source and commercial tools and languages including Python, R, SAS, and MATLAB. Versions are tracked to avoid conflicts when team members try to reuse work. As technology changes, it's easy to add new emerging tools when needed, future-proofing your data science platform.
Unified data access layer
Easy, governed and secure access to data
Data is the fuel for all models but data access and preparation is a regular struggle. Not with Domino.
Domino’s Data Connectors provide rapid, secure access so you can quickly get to work while also adhering to data access policies. Domino’s Data Access Library unifies access patterns for disparate data types through SQL syntax. Analytic-ready data, along with its associated metadata, is easily saved in a result set for later reuse, saving time and compute costs. We are constantly adding new Data Connectors making it easy to connect to all your data.
Out-of-the-box support for Feast– the emerging, open-source standard for feature stores – increases the reproducibility and reusability of features while also helping to mitigate skew between the features used in training and those used in production. Organizations now have a single source of truth for how calculating important features, driving reuse and consistency.
Experiment and reproduce without fear
Domino's Durable Workspaces automatically capture changes to code, data, tools, and packages through continual version control, creating reusable, shareable, revisioned environments. This gives data scientists the agility to experiment with new tools while providing security and reproducibility of work down the road.
Explore Open Data Science Resources
Accelerating model velocity through Snowflake Java UDF integration
True Cost of Building a Data Science Platform
Faster data exploration in Jupyter through Lux