Databricks on Google Cloud
Open lakehouse platform meets open cloud to unify data engineering, data science and analytics
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Databricks on Google Cloud is a jointly developed service that allows you to store all your data on a simple, open lakehouse platform that combines the best of data warehouses and data lakes to unify all your analytics and AI workloads. Tight integration with Google Cloud Storage, BigQuery and the Google Cloud AI Platform enables Databricks to work seamlessly across data and AI services on Google Cloud.
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.
Learn more from these customers
“Databricks on Google Cloud simplifies the process of driving any number of use cases on a scalable compute platform, reducing the planning cycles that are needed to deliver a solution for each business question or problem statement that we use.”
—Harish Kumar, the Global Data Science Director at Reckitt
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.
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.
Partner ecosystem
Free Databricks Training on Google Cloud
In this three-part training series, we’ll teach you how to get started with Databricks Lakehouse on Google Cloud. The training includes:
- Part 1 — Fundamentals of the Lakehouse Architecture With Databricks on Google Cloud
- Part 2 — Integrated Data Access to Google Cloud Services and Cluster Management
- Part 3 — Enterprise Security With Databricks on Google Cloud
