Databricks on Google Cloud
The Databricks Data Intelligence Platform meets Google Cloud to unify data, analytics and AI on an open, secure and scalable foundation

Jointly developed with Google, the Databricks Data Intelligence Platform on Google Cloud combines the power of the lakehouse with native integrations to Google Cloud Storage, BigQuery, Gemini and Vertex AI. This enables organizations to simplify data management, unlock advanced analytics and accelerate AI innovation — securely and cost-effectively — on Google Cloud.
Why Databricks on Google Cloud?
Reliable data engineering
Build trusted pipelines faster with unified tools for ingestion, transformation, orchestration and governance — so data engineers can deliver AI-ready data with less overhead.
SQL analytics on all your data
Run fast, cost-efficient queries at scale with Databricks SQL, enabling analysts and BI users to uncover insights quickly while lowering warehouse costs.
Collaborative data science
Streamline the full data science workflow — from prep to modeling to sharing insights — in a collaborative environment with built-in versioning and governance.
Production machine learning
Take models from experimentation to production with MLflow, AutoML and built-in governance so ML teams can deploy, monitor and scale confidently.
Learn from the CEOs: Databricks and Google Cloud

Databricks Named Google Cloud Partner of the Year – Two Years Running
Databricks is honored to be recognized as Google Cloud’s Data & Analytics Partner of the Year (Smart Analytics) for 2025 – following our Technology Partner of the Year (Data — AI & ML) win in 2024. These back-to-back awards highlight our shared commitment to empowering customers with industry-leading data, analytics and AI solutions.
Streamlined integration with Google Cloud
Google Cloud Storage
Enable seamless read/write access for data in Google Cloud Storage (GCS) and leverage the Delta Lake open format to add powerful reliability and performance capabilities within Databricks.
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