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Tens of thousands of customers build their data clouds using Google Cloud, a unified, open approach to data-driven transformation that is unmatched for speed, scale, and security with AI built in.
Data and AI driven companies are more profitable than their peers (72% vs. 50%), according to a recent Harvard Business Review’s research “Transforming Data into Business Value through Analytics and AI”. Discover why data-to-value leaders have increased investments in data, analytics and AI over the past two years and how they use these capabilities to drive business impact.
Google offers the ability to manage each and every stage of the data life cycle from running operational transactions to managing analytical applications across data warehouses and data lakes to rich data-driven experiences that break down silos. AI/ML is a core component of the data cloud solution, which helps organizations not only build improved insights, but also automate core business processes using data as the core. HSBC is one example of a leading organization investing in machine learning and data capabilities with Google Cloud.
Google Cloud is open and standards-based. It offers best-in-class integration with open source standards and APIs, which ensures portability and extensibility to prevent lock-in. Customers can choose from a wide range of transactional, processing, and analytics engines, including their choice of deployment across multicloud and hybrid environments and easy interoperability with existing partner solutions and investments.
At Google, AI is in our DNA. Google was built on pioneering AI research and the principle of making the world’s information useful to people and businesses everywhere. We leverage this expertise to deliver state of the art AI capabilities to businesses and governments, making it easy to unlock the power of AI. New generative AI capabilities open the door for a new era of applications that can create, recommend, synthesize, analyze, and engage in a natural and responsible way. Learn how you can customize foundation models to meet your needs with Generative AI support on Vertex AI and quickly build search and conversational applications with Generative AI App Builder.
Major League Baseball and Google Cloud have teamed up to transform the fan experience. With tools like Statcast, fans can gain a deeper understanding of what's happening on the field through data.
Explore the interactive demo here to compare and analyze Statcast data
BigQuery is a serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility.
27%
Lower TCO than cloud data warehouse alternatives
99.99%
Uptime SLA ensures reliable access to data and insights
Fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability.
78%
Lower TCO compared to on-premises databases
2B+
Processed requests per second at peak with Spanner
An enterprise platform for business intelligence, data applications, and embedded analytics.
99%
Improvement on data teams' productivity with Looker
24%
Boosted employee productivity with self-service analytics
Build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified AI platform.
80%
Fewer lines of code needed to build custom models
80%
Fewer trials than traditional methods to find optimal parameters*
*For complex functions, with Vertex AI Vizier.
You need a partner who has experience, knowledge, and tools to guide you along the digital transformation journey. That’s why choosing a data cloud partner is one of the most important decisions you will make to have a competitive edge in this fast-changing landscape.
Tell us what you’re solving for. A Google Cloud expert will help you find the best solution.