Since our launch on Google Cloud Platform (GCP) in 2021, Databricks on Google Cloud has offered greater than 1,500 joint prospects with a tightly built-in expertise— bringing collectively the Databricks Knowledge Intelligence Platform with the dimensions, flexibility, and innovation of Google Cloud. In assist of those joint prospects, each Databricks and Google Cloud have skilled accelerated development up to now yr. Databricks has seen over 60% development YoY in latest quarters, and in This fall of 2024 Google Cloud generated $12 billion in income, a 30% enhance YoY. Google Cloud prospects buy billions of {dollars} in software program, knowledge, generative AI, safety choices and extra by way of Google Cloud Market. You may strive Databricks on Market, the place we common over 400 sign-ups per 30 days. Now we’ve delivered a collection of highly effective enhancements that actually empower our prospects to mix knowledge and AI at scale on Google Cloud, and unify it with knowledge in different clouds.
All through the final 4 years, our partnership has developed from a shared imaginative and prescient into a strong platform that drives real-world influence. With a completely serverless expertise, native assist for open lakehouse structure, and integration with Google improvements like Gemini and Axion VMs, we’re enabling enterprises to innovate sooner, modernize their knowledge stacks, and unlock the total potential of unified knowledge and AI. All of that is seamlessly built-in and ruled by way of Unity Catalog, guaranteeing constant entry controls and a unified expertise throughout knowledge and AI workloads. We’ve additionally lately introduced a landmark partnership with Anthropic to supply Claude fashions as first-party choices in Databricks, beginning with their latest frontier mannequin, Claude 3.7 Sonnet. This allows prospects to construct and deploy clever brokers that may purpose over their knowledge—instantly inside their lakehouse. Along with Google Cloud, prospects can quickly construct highly effective agentic purposes grounded of their proprietary knowledge.
Unifying AI and Analytics with a Serverless Expertise
To assist organizations that wish to scale with out managing infrastructure, Databricks on Google Cloud now affords a usually out there full serverless expertise. This contains serverless SQL, Notebooks, Workflows, and DLT pipelines, enabling groups to construct and run knowledge workflows immediately with automated useful resource administration and sooner start-up occasions. This serverless basis additionally powers a rising suite of generative AI capabilities—together with CPU/GPU mannequin serving, Basis Mannequin APIs, AI Gateway, Vector Search, Serverless AutoML, AI Features, AI Playground, Lakehouse Monitoring and Agent Framework and Analysis.
These capabilities assist each knowledge groups and enterprise customers iterate extra rapidly, cut back operational overhead, and spend extra time specializing in constructing knowledge and AI purposes—not managing infrastructure.
Greatest-in-Class Integration with Google Cloud AI and Compute
The Databricks Knowledge Intelligence Platform is deeply built-in with Google Cloud’s most superior applied sciences, bringing a best-of-both-worlds method to your knowledge platform. For instance, Gemini, Google’s multimodal massive language mannequin, integrates simply and securely with Databricks to assist groups construct clever, end-to-end brokers throughout structured and unstructured knowledge. From immediate engineering to vector search, Databricks allows a whole AI workflow—on Google Cloud’s safe and scalable platform. One other instance of integration between best-in-class applied sciences is Databricks assist for GCP’s new Axion-based C4A digital machines, providing vital enhancements in price-performance, powered by customized Titanium SSDs. When used together with Databricks clusters and managed Spark, this {hardware} allows an enchancment of as much as 60% in price-performance throughout advanced knowledge processing pipelines in comparison with the earlier technology of basic goal machines.
Seamless Integration with Your Current Google Cloud Structure
For a lot of prospects, the power to attach Databricks with native GCP providers is crucial—and that’s precisely what our joint investments have made attainable. Prospects can now leverage BigQuery’s first-party assist for Delta Lake, enabling a write-once Lakehouse structure built-in with BigQuery queries. And with BigQuery Federation by way of Unity Catalog, our prospects can standardize on an open, Lakehouse-ready governance layer throughout their present GCP knowledge stack, whereas sustaining constant cataloging and knowledge lineage throughout each platforms.
Driving Buyer Worth
Corporations throughout industries are utilizing Databricks on Google Cloud to rework their enterprise with knowledge and AI.
“Working Databricks on Google Cloud has streamlined how we scale AI throughout our enterprise. With instruments like Lakehouse Federation and Unity Catalog, we’ve diminished technical debt, improved governance, and accelerated mannequin experimentation–all on a safe, unified platform.”
— Sachin Kulshrestha, World ML Engineering and Ops Lead, Mondelēz
Digital Turbine makes use of Databricks on Google Cloud to know their prospects higher.
“By optimizing our SQL queries with Databricks SQL Serverless and dealing with our Google companions, we’ve saved tens of hundreds of {dollars} per 30 days in internet hosting prices and in total Databricks utilization.”
— Dan Ferrante, Director of Knowledge Administration, Digital Turbine
Uplight makes use of Databricks on Google Cloud to launch providers in half the time.
“We’re operating 30,000 Spark jobs per 30 days on Databricks to ingest, put together and analyze our knowledge. By utilizing Databricks MLflow and Vertex AI, we’ve halved improvement time for brand spanking new providers and accelerated the rollout of latest predictive machine studying (ML) fashions.”
— Daniel Coll, Senior Knowledge Engineer, Uplight
See What’s Subsequent at Google Cloud Subsequent ‘25
We’re simply getting began! Be a part of us at Google Cloud Subsequent 2025 to see how Databricks and Google Cloud are driving the subsequent wave of information intelligence, collectively. Databricks is a proud Signature Sponsor at Subsequent ‘25, the place we’ll showcase how enterprises can unlock the total potential of information and AI with Databricks on Google Cloud. We’ll be internet hosting a session on the facility of information intelligence with Digital Turbine, talking on an Enterprise AI panel with Google Cloud, Anthropic, Oracle, and SAP, sharing concerning the price-performance and effectivity advantages within the Google Axion VMs session, and highlighting knowledge democratization greatest practices on a accomplice panel. Go to us at our Sales space #1930 or register to attend our buyer reception.
Able to take the subsequent step?
Get Began with a Free 14-day Trial of Databricks on Google Cloud. Join together with your Databricks or Google Cloud consultant to study how one can convey unified knowledge and AI to your group immediately.