Tag: Data Science Platform

Achieving Reproducibility with Conda and Domino Environments

Managing “environments” (i.e., the set of packages, configuration, etc.) is a critical capability of any Data Science Platform. Not only does environment setup waste time on-boarding...

Our Customers Said it Best, as Domino Named a Visionary By Gartner

The team at Domino is proud to be named a visionary in Gartner’s Magic Quadrant for Data Science Platforms. It’s nice to get recognized by third...

Enabling Data Science Agility with Docker

This post describes how Domino uses Docker to solve a number of interconnected problems for data scientists and researchers, related to environment agility and reproducibility of...

Domino raises $10.5M in funding for collaborative, reproducible data science

Today we’re announcing that we have raised $10.5 million in a funding round led by Sequoia Capital. For us, fundraising is simply a means to an...

Data Science Platform: What is it? Why is it Important?

As more companies recognize the need for a data science platform, more vendors are claiming they have one. Increasingly, we see companies describing their product as...