Databricks on Google Cloud
Databricks on Google Cloud offers enterprise flexibility for AI-driven analytics
Enable scale and efficiency for your analytics
Google Cloud’s infrastructure delivers a fast, standardized, scalable Databricks experience.
Simplify data analytics infrastructure and security
Databricks leverages Google Kubernetes Engine, Google Cloud IAM, and Google Identity to deliver a scalable and secure experience.
Enhance your Databricks experience with Google Cloud’s open platform
Databricks on Google Cloud offers containerized deployment featuring tight integrations with Google Cloud’s analytics services.
Delta Lake on Databricks and fully managed Spark experience
Databricks integrated with BigQuery
Data scientists using Databricks Workspace can access data from BigQuery to build models and visualize with Looker, and serve those models via AI Platform.
Databricks containerization with Google Kubernetes Engine
Databricks on Google Cloud leverages Google Cloud’s secure, managed Kubernetes service, Google Kubernetes Engine (GKE), to support containerized deployments of Databricks in the cloud. You can use this solution to leverage high-performance infrastructure to execute workloads faster and at lower costs and enable new Databricks workloads to be migrated to Google Cloud quickly and securely.
Condé Nast gathers valuable data insights from Google Cloud and Databricks
Databricks on Google Cloud is integrated with these Google Cloud solutions
Use Google Kubernetes Engine to rapidly and securely execute your Databricks analytics workloads at lower cost, augment these workloads and models with data streaming from Pub/Sub and BigQuery, and perform visualization with Looker and model serving via AI Platform.