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 Information Intelligence Platform with the dimensions, flexibility, and innovation of Google Cloud. In help of those joint prospects, each Databricks and Google Cloud have skilled accelerated progress up to now 12 months. Databricks has seen over 60% progress YoY in latest quarters, and in This autumn of 2024 Google Cloud generated $12 billion in income, a 30% enhance YoY. Google Cloud prospects buy billions of {dollars} in software program, information, generative AI, safety choices and extra via Google Cloud Market. You’ll be able to strive Databricks on Market, the place we common over 400 sign-ups monthly. Now we’ve delivered a collection of highly effective enhancements that really empower our prospects to mix information and AI at scale on Google Cloud, and unify it with information in different clouds.
All through the final 4 years, our partnership has developed from a shared imaginative and prescient into a sturdy platform that drives real-world influence. With a completely serverless expertise, native help for open lakehouse structure, and integration with Google improvements like Gemini and Axion VMs, we’re enabling enterprises to innovate sooner, modernize their information stacks, and unlock the complete potential of unified information and AI. All of that is seamlessly built-in and ruled via Unity Catalog, making certain constant entry controls and a unified expertise throughout information 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 cause over their information—immediately inside their lakehouse. Along with Google Cloud, prospects can quickly construct highly effective agentic functions grounded of their proprietary information.
Unifying AI and Analytics with a Serverless Expertise
To help organizations that need to scale with out managing infrastructure, Databricks on Google Cloud now affords a usually obtainable full serverless expertise. This contains serverless SQL, Notebooks, Workflows, and DLT pipelines, enabling groups to construct and run information 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 Capabilities, AI Playground, Lakehouse Monitoring and Agent Framework and Analysis.
These capabilities assist each information groups and enterprise customers iterate extra shortly, scale back operational overhead, and spend extra time specializing in constructing information and AI functions—not managing infrastructure.
Finest-in-Class Integration with Google Cloud AI and Compute
The Databricks Information Intelligence Platform is deeply built-in with Google Cloud’s most superior applied sciences, bringing a best-of-both-worlds method to your information 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 information. From immediate engineering to vector search, Databricks permits an entire AI workflow—on Google Cloud’s safe and scalable platform. One other instance of integration between best-in-class applied sciences is Databricks help for GCP’s new Axion-based C4A digital machines, providing important enhancements in price-performance, powered by customized Titanium SSDs. When used at the side of Databricks clusters and managed Spark, this {hardware} permits an enchancment of as much as 60% in price-performance throughout complicated information processing pipelines in comparison with the earlier technology of basic objective machines.
Seamless Integration with Your Current Google Cloud Structure
For a lot of prospects, the flexibility to attach Databricks with native GCP companies is important—and that’s precisely what our joint investments have made attainable. Prospects can now leverage BigQuery’s first-party help 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 current GCP information stack, whereas sustaining constant cataloging and information lineage throughout each platforms.
Driving Buyer Worth
Firms throughout industries are utilizing Databricks on Google Cloud to rework their enterprise with information and AI.
“Operating Databricks on Google Cloud has streamlined how we scale AI throughout our enterprise. With instruments like Lakehouse Federation and Unity Catalog, we’ve decreased 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} monthly in internet hosting prices and in general Databricks utilization.”
— Dan Ferrante, Director of Information Administration, Digital Turbine
Uplight makes use of Databricks on Google Cloud to launch companies in half the time.
“We’re working 30,000 Spark jobs monthly on Databricks to ingest, put together and analyze our information. By utilizing Databricks MLflow and Vertex AI, we’ve halved improvement time for brand new companies and accelerated the rollout of recent predictive machine studying (ML) fashions.”
— Daniel Coll, Senior Information 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 following wave of knowledge intelligence, collectively. Databricks is a proud Signature Sponsor at Subsequent ‘25, the place we are going to showcase how enterprises can unlock the complete potential of knowledge and AI with Databricks on Google Cloud. We’ll be internet hosting a session on the ability of knowledge intelligence with Digital Turbine, talking on an Enterprise AI panel with Google Cloud, Anthropic, Oracle, and SAP, sharing in regards to the price-performance and effectivity advantages within the Google Axion VMs session, and highlighting information democratization greatest practices on a associate panel. Go to us at our Sales space #1930 or register to attend our buyer reception.
Able to take the following step?
Get Began with a Free 14-day Trial of Databricks on Google Cloud. Join together with your Databricks or Google Cloud consultant to be taught how one can deliver unified information and AI to your group at present.
