Databricks on Google Cloud
Open lakehouse platform meets open cloud with unified data engineering,
data science, and analytics
Why Databricks on Google Cloud?
Open
Built on open standards, open APIs and open infrastructure so you can access, process and analyze data on your terms.
Optimized
Deploy Databricks on Google Kubernetes Engine, the first Kubernetes-based Databricks runtime on any cloud to get insights faster.
Integrated
Get one-click access to Databricks from the Google Cloud Console, with integrated security, billing, and management.
Databricks on Google Cloud provides a lakehouse for our data engineers, data scientists and analysts to consolidate, collaborate, analyze, and use all of our global data to experiment and innovate quickly.
—Nana Essuman, Director of Data Engineering
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.

Google Kubernetes Engine
Databricks on Google Cloud runs on Google Kubernetes Engine (GKE), enabling customers to deploy Databricks in a containerized cloud environment for the first time.

BigQuery
An optimized, built-in connector enables streamlined, fast data integration between Databricks and BigQuery.

Google Cloud Identity
Simplify access to Databricks with single sign-on using Google Cloud credentials and utilize credential pass-through to leverage the existing access controls to other services on Google Cloud.

Google Cloud AI Platform
Access Databricks’ advanced machine learning lifecycle management capabilities while taking advantage of AI Platform’s prebuilt models for vision, language and conversations.

Google Cloud Billing
Integration with the GCP Marketplace simplifies procurement with a unified billing and administration experience.

Looker
Analysts can use Looker to query the most complete and recent data in the data lake with an optimized connector to Databricks.