Domino Data Lab Launches Fully Kubernetes-Native Data Science Platform To Empower IT and Enable Multi-Cloud Data Science
November 20, 2019
Company’s investment in Kubernetes offers enterprises a truly future-proof infrastructure
San Francisco, November 19, 2019 – Domino Data Lab, provider of the industry-leading open data science platform, today announced its Kubernetes-native compute grid, supporting elastic scaling for data science workloads in all major cloud platforms and on premises. With its strategic adoption of kubernetes, Domino now enables forward-looking IT organizations to streamline and enhance their data science infrastructure with scalable multi-cloud support on top of the industry-leading orchestrator.
“At Domino, we are committed to empowering data science teams while giving IT leaders a leading-edge platform to realize their vision for modern enterprise infrastructure,” said Nick Elprin, CEO and co-founder of Domino. “We are proud to offer the most advanced data science platform on Kubernetes, giving data scientists and IT the agility model-driven businesses need.”
Domino’s new compute grid provides three main benefits to IT organizations that are supporting data science teams:
- Enable multi-cloud data science: Kubernetes supports Domino’s multi-cloud strategy, allowing Domino to run natively in any cloud or on-premise environment with the full benefits of elastic scaling of heterogeneous data science workloads;
- Reduced cost of data science workloads: By scaling workloads elastically and packing them smartly across underlying hardware resources, Domino runs data science workloads more efficiently, reducing compute costs; and
- Operational efficiency: Domino can now install into a company’s existing kubernetes cluster, reducing management surface area and simplifying administration by integration with existing devops stack.
“Our customers want a centralized platform that supports their entire data science lifecycle,” said Jim Franklin, director of AI, Data Analytics and Business Applications Product Management at Dell Technologies. “Working with Domino Data Lab, we’ve announced a validated design in our Ready Solutions for AI portfolio using Domino’s new Kubernetes-based compute grid on top of Dell infrastructure to serve customers’ unique data science needs.”
“Domino on Kubernetes gives our data science team the flexibility we need while offering peace of mind to our partners in IT,” said Joshua Cluff, Data Science Operations Manager at National Oilwell Varco. “We can now run Domino across diverse infrastructure, including both on-premises and cloud-based environments, while also plugging into existing monitoring, logging, and enterprise security tools that our IT team knows and trusts. It’s a big step forward on the path to make Data Science a first-class citizen that’s aligned with Enterprise IT.”
About Domino Data Lab
Domino Data Lab provides an open data science platform to help companies run their business on models. Model-driven companies like Allstate, Dell, and Bayer use Domino to accelerate breakthrough research, increase collaboration, and rapidly deliver high-impact models. Founded in 2013 and based in San Francisco, Domino is backed by Sequoia Capital, Coatue, Bloomberg Beta, and Zetta Venture Partners. To learn more, visit dominodatalab.com.
Corbie Kiernan, Director of Communications