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Link to original content: https://cloud.google.com/data-cloud
Tens of thousands of customers use Google's Data Cloud to unify data and connect it with groundbreaking AI to unleash transformative experiences. Google's Data Cloud delivers these capabilities with enterprise-grade efficiency, scalability, and security. This powerful combination helps organizations turn data into value and demonstrate ROI quickly.
With the surge of new generative AI capabilities, companies and their customers can now interact with applications and data in new ways. With Google’s Data Cloud, you can use built-in generative AI capabilities to activate your enterprise data across BigQuery, AlloyDB for PostgreSQL, Spanner, Cloud SQL, and more, and use built-in features to apply AI/ML directly to your data. You can also easily integrate with Vertex AI to further enable differentiated AI experiences. Looker helps you build custom data experiences and data apps with powerful embedded capabilities and it offers an AI assistant that helps you chat with your data with conversational analytics.
Google's Data Cloud provides a unified data analytics foundation built on BigQuery that brings your data together into one place, integrating structured and unstructured data with AI to deliver insights quickly across your data estate. You can also unify your operational and analytical data with BigQuery federation for AlloyDB for PostgreSQL, Spanner, and Cloud SQL without moving or copying your data. Google's unified data platform allows you to manage your entire data life cycle and help make security and governance easier for different types of users within your organization.
Google Data Cloud is open to help you build modern, data-driven applications wherever your workloads are. With support for open source and open standards, you can build and modernize your applications with AlloyDB, a PostgreSQL compatible database for your most demanding enterprise workloads. We also offer AlloyDB Omni which runs across clouds, on-premises, and even on developer laptops and AlloyDB AI which is an integrated set of capabilities for building generative AI apps. With BigQuery Omni, you can also utilize data from multiple cloud and on-premises environments and access it in popular SaaS apps—without generally incurring the costs, security risks, and governance concerns associated with data migration.
Google’s Data Cloud offers an AI-ready data platform with a seamless integration to Vertex AI for both your operational and analytical data. In BigQuery, you can use multimodal gen AI to build data pipelines that combine gen AI models with analytics, combine structured and unstructured data, and drive real time ML inference. We also support vector search across BigQuery, AlloyDB for PostgreSQL, Spanner, Cloud SQL and more. grounding generative AI in enterprise truth. With Gemini in BigQuery, we make the development of your AI scenarios simple by providing always-on intelligence and automation and accelerate the journey from data to insights. Gemini in Databases supercharges database development and management across every aspect of the database journey from development, performance optimization, fleet management to governance and migrations.
Built on a culture of openness, data-driven decisions, and cost predictability, Google Cloud offers MLB innovation to drive growth with fans, now and in the future.
BigQuery gave us a solid data foundation for AI. Our data was exactly where we needed it. We were able to connect millions of customer data points from hotel information, marketing content, and customer service chat and use our business data to ground LLMs.
Allie Surina Dixon, Director of Data, Priceline
BigQuery is a serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility.
54%
Lower TCO than cloud data warehouse alternatives
99.99%
Uptime SLA ensures reliable access to data and insights
A fully managed PostgreSQL—compatible database service designed for your most demanding enterprise workloads.
4x
Faster than standard PostgreSQL for transactional workloads
100x
Faster analytical queries than standard PostgreSQL
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.
We are continuing to evolve our architecture as we grow, and looking for ways to improve scalability, performance, and reliability. We believe that by adopting architecture that leverages the strengths of both AlloyDB and Spanner, we can build a system that can meet the needs of our users and handle our growth aspirations.
James Groeneveld, Research Engineer, Character.AI
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