Google's 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.

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purpose

Discover solutions that make data cloud a reality

Google’s Data Cloud delivers capabilities with enterprise-grade efficiency, scalability, and security. This powerful combination helps organisations turn data into value and demonstrate ROI quickly.

benefits

Why Google's Data Cloud?

Google’s data cloud gives you the power to collect, analyse, and act on your data. By providing a secure, scalable, and unified environment, this platform helps you unlock real-time insights, drive smarter decisions, and accelerate your business’s innovation and growth.

Unified, serverless and comprehensive data foundation

Unified, serverless and comprehensive data foundation

Google Cloud provides a fully integrated and serverless Data Cloud, eliminating the complexity of managing disparate data tools and underlying infrastructure. From petabyte-scale data warehousing with BigQuery to real-time data streaming with Pub/Sub and robust ETL with Dataflow, all components work seamlessly together. This comprehensive suite simplifies your data pipelines, reduces operational overhead, and allows your teams to focus purely on extracting value, not on maintaining systems.

AI-powered insights at unprecedented scale

AI-powered insights at unprecedented scale

At the heart of Google’s Data Cloud lies its native integration with Artificial Intelligence and Machine Learning. Leveraging powerful tools like BigQuery ML and Vertex AI, organisations can apply advanced analytics, build custom ML models, and generate predictive insights directly from their data, even at massive scales. This ensures you can process vast volumes of structured and unstructured data, uncover hidden patterns, and transform raw data into actionable intelligence.

Open, flexible and enterprise-grade secure

Open, flexible and enterprise-grade secure

Google’s Data Cloud is built on principles of openness and flexibility, supporting a wide array of data types, open-source technologies, and multi-cloud strategies, preventing vendor lock-in. It provides the freedom to bring your data from anywhere and utilise the tools best suited for your needs. Crucially, it comes with Google Cloud’s enterprise-grade security, governance, and compliance features, ensuring your most sensitive data assets are protected throughout their lifecycle, giving you confidence and trust in your data strategy.

uses

Key features

Gain unparalleled insights with this powerful, end-to-end platform, With a unified, scalable, and secure environment, Google’s Data Cloud helps you manage, analyse, and act on your data to drive innovation and gain a competitive edge.

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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 autonomous data to AI platform 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 organisation.

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 modernise your applications with AlloyDB, a PostgreSQL compatible database for your most demanding enterprise workloads. Google also offers 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.

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. Google Cloud also supports vector search across BigQuery, AlloyDB for PostgreSQL, Spanner, Cloud SQL and more.  With Gemini in BigQuery, the development of your AI scenarios is made simple by the provision of always-on intelligence and automation. Gemini in Databases supercharges database development and management across every aspect of the database journey.

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