2021 Gartner reports: From data warehousing to machine learning, Databricks is a Leader
Learn why the Databricks Lakehouse Platform is able to deliver on both data warehousing and machine learning use cases.
Data lakehouse: The best of both worlds
Lakehouse combines the reliability, performance and governance of data warehouses with the openness and flexibility of data lakes. Now you can perform both traditional SQL analytics and BI, plus data science and machine learning on the same platform.
Reduce complexity in your infrastructure. Move data less and provide better governance on one cloud or multiple.
Adopt new innovations faster and keep control of your data by building on open standards and open source.
Intuitive collaborative tools and broad integrations make it easy for your teams to partner across the entire data and AI workflow.
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.
The father of the data warehouse reveals the 5 keys to building a successful data lakehouseFree download
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