Join the global event for the data and AI community to hear from the world’s top experts in LLMs and machine learning, data science, data engineering, data warehousing and more!
Chairman and CEO at Microsoft, Live Virtual Guest
Co-creator of PyTorch, Co-founder and CEO at Fireworks
Co-founder and CEO at Databricks
Former CEO and Chairman, Google; Co-founder at Schmidt Futures
One platform for your data, consistently governed and available for all your analytics and AI
Open standards provide easy integration with other tools plus secure, platform-independent data sharing
Scale efficiently with every workload from simple data pipelines to massive LLMs
Lakehouse unifies your data teams
Data management and engineering
Streamline your data ingestion and management
With automated and reliable ETL, open and secure data sharing, and lightning-fast performance, Delta Lake transforms your data lake into the destination for all your structured, semi-structured and unstructured data.
Derive new insights from the most complete data
With ready access to the freshest and most complete data and the power of Databricks SQL — up to 12x better price/performance than traditional cloud data warehouses — data analysts and scientists can now quickly derive new insights.
Data science and machine learning
Accelerate ML across the entire lifecycle
The lakehouse forms the foundation of Databricks Machine Learning — a data-native and collaborative solution for the full machine learning lifecycle, from featurization to production. Combined with high-quality, highly performant data pipelines, lakehouse accelerates machine learning and team productivity.
Data governance and sharing
Unify governance and sharing for data, analytics and AI
With Databricks, you gain a common security and governance model for all of your data, analytics and AI assets in the lakehouse on any cloud. You can discover and share data across data platforms, clouds or regions with no replication or lock-in, as well as distribute data products through an open marketplace.