
Operator Collective


dbt is a data transformation framework Users can work directly within their data lakehouse or warehouse to quickly produce trusted data sets for reporting, ML modeling and operational workflows
Hex is a platform for collaborative analytics and data science Users can connect to data, analyze in a collaborative SQL and Python-powered notebook, and share work as interactive data apps that anyone can use
The Hunters SOC platform empowers security teams to automatically identify and respond to incidents that matter, helping teams mitigate real threats faster and more reliably than SIEMs
Labelbox is building a collaborative training data platform that makes it easy to create and manage labeled data, enabling rapid deployment of AI applications
Matillion is the data productivity cloud that gets data business-ready, faster — with enterprise-scale load, transform, sync and orchestration — for insights, analytics, data science, machine learning and AI
Revelate’s data fulfillment platform provides a suite of capabilities for data sharing and data commercialization for customers to fully realize the value of their data
Tecton, the machine learning feature platform company, enables data teams to build, centralize, share, and serve production-ready ML features for offline training and online inference, at scale
Depending on the size and stage of the investment, Databricks will provide unique access to product roadmap direction, technical integration support, and go-to-market support; access to Databricks mentors for guidance and best practices; and exposure in Databricks’ global go-to-market programs, including our Data + AI Summit series
We are investing in innovative founders of private companies who share our view of the future for data and AI and are committed to extending the lakehouse ecosystem or using the lakehouse architecture to create the next generation of data and AI-powered companies
We invest in early through growth-stage private companies within the data, analytics and AI ecosystem
No, we do not lead rounds Our strategy is to invest alongside a lead institutional investor
Databricks Ventures takes minority positions in rounds led by institutional VCs; typical check size varies based on stage of company and size of funding round
No, Databricks does not plan to take board seats in portfolio companies
Databricks for Startups offers free credits, expert advice and go-to-market support
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