Domino Data Science Blog

Today Domino announced a revolutionary new capability that enables data science leaders to expand their talent pool, promote a culture of analytics around the enterprise, increase collaboration across teams, and ultimately deliver more value to the business.

I’m thrilled to announce that Domino has raised $100 Million in funding led by Great Hill Partners, existing investors Coatue Management, Highland Capital Partners and Sequoia Capital, plus another new investor: NVIDIA. The funding will let us accelerate growth across the company, especially in product development, so we can continue to build the world’s best Enterprise MLOps platform.

This week Gartner published their latest Magic Quadrant for Data Science and Machine Learning (DSML) Platforms. Meanwhile, Forrester has two separate Waves for Predictive Analytics and Machine Learning (PAML) platforms — one notebook-based and one multi-modal — plus a third New Wave for automation-focused machine learning solutions. And Matt Turck’s 2020 Data & AI Landscape lists hundreds of companies in dozens of sub-categories.

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. We’re introducing groundbreaking new features – including On-demand Spark clusters, enhanced project management, and the ability to export models – that give enterprises unprecedented power to scale their data science capabilities by addressing common struggles.

Last week we announced that Domino is now fully Kubernetes native.

Reflections