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Google Cloud databases | Google Cloud

Google named a Leader, positioned furthest in vision in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems. Learn more.

Google Cloud databases

Google Cloud offers a robust suite of industry-leading databases built on planet-scale infrastructure with AI at its core. Experience unmatched reliability, price-performance, security, and global scale for all your applications. 

Gartner Magic Quadrant for Cloud Database Management Systems 2025 graphic. Google is positioned as a Leader and is furthest in Completeness of Vision on the chart.
Google named a Leader, positioned furthest in vision in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems.

Quick highlights of what we announced at Google Cloud Next

Our portfolio of databases

Relational databases store and organize data in tables with defined relationships, making it easy to understand how data structures relate to each other

  • Cloud SQL: Highly flexible, fully managed database service for MySQL, PostgreSQL, and SQL Server workloads, offering superior performance, availability, and manageability.
  • AlloyDB for PostgreSQL: 100% PostgreSQL-compatible database that runs anywhere, and offers superior performance, availability, and scale for your most demanding workloads.
  • Spanner: The always-on, globally consistent, multi-model, and virtually unlimited scale database that powers Google’s billion user products such as Google Search, Gmail, and YouTube. Offers up to 99.999% availability SLA.

Relational databases store and organize data in tables with defined relationships, making it easy to understand how data structures relate to each other

  • Cloud SQL: Highly flexible, fully managed database service for MySQL, PostgreSQL, and SQL Server workloads, offering superior performance, availability, and manageability.
  • AlloyDB for PostgreSQL: 100% PostgreSQL-compatible database that runs anywhere, and offers superior performance, availability, and scale for your most demanding workloads.
  • Spanner: The always-on, globally consistent, multi-model, and virtually unlimited scale database that powers Google’s billion user products such as Google Search, Gmail, and YouTube. Offers up to 99.999% availability SLA.

Non-relational databases, also known as NoSQL databases, store data in a flexible, non-tabular format

  • Bigtable: Highly flexible, NoSQL database for high throughput, low-latency applications at scale, that powers Google’s billion user products such as Google Search, Ads, and YouTube. Offers up to 99.999% availability SLA.
  • Memorystore: Fully managed, in-memory database service for Valkey, Redis*, and Memcached, offering sub-millisecond data access, scalability, and high availability.
  • Firestore: Highly scalable and serverless document database for developing rich applications. Offers up to 99.999% availability SLA.
  • Firestore with MongoDB compatibility: Leverage your existing MongoDB expertise with Firestore's serverless scalability, performance, and high availability.

Vector databases allow you to store, index, and query vector embeddings, or numerical representations of unstructured data, such as text, images, or audio

  • AlloyDB AI: Build enterprise gen AI apps with the familiar PostgreSQL interface. It integrates with AI tools such as Vertex AI for model inferencing, and open, standard technologies like pgvector and LangChain. And with the new ScaNN index, we're bringing twelve years of Google research to PostgreSQL for improved vector search performance and accuracy.
  • Spanner: Build intelligent apps with a single database that brings together relational, graph, key value, full-text search, and vector search, eliminating the need for separate, specialized database solutions. We support storing vectors and searching them using exact nearest neighbor (KNN) or approximate nearest neighbor (ANN) search.
  • Cloud SQL: Store vectors in the same Cloud SQL for MySQL and Cloud SQL for PostgreSQL instance you’re already using, and then search against your vector store using either exact nearest neighbor (KNN) or approximate nearest neighbor (ANN) search. Cloud SQL integrates with Vertex AI for model inferencing, and supports open source pgvector for quickly building gen AI apps.

Migrate and modernize databases and applications by moving them to cloud-based services for improved performance, scalability, and cost-efficiency

  • Database Migration Service: Simplify migrations from MySQL, PostgreSQL, SQL Server, and Oracle databases to Cloud SQL and AlloyDB. Start migrating in just a few clicks with an integrated, Gemini-assisted conversion and migration experience.
  • Datastream: Serverless and easy-to-use change data capture and replication service from MySQL, PostgreSQL, SQL Server, and Oracle databases. With Datastream for BigQuery, you can seamlessly replicate from relational databases directly to BigQuery, enabling near real-time insights on operational data.
  • Oracle Database@Google Cloud: Migrate and supercharge Oracle databases and applications in Google Cloud. Deploy the latest database services in a Google Cloud datacenter running on Oracle Cloud Infrastructure (OCI) hardware. 
  • Bare Metal Solution for Oracle: Run Oracle databases the same way you do it, on-premises on a fully managed end-to-end infrastructure including compute, storage, and networking.

Gain a comprehensive view and supercharge your entire database fleet management with AI. Proactively detect and identify the root cause of problems.

  • Database Center: Manage availability, cost, protection, performance, security, and compliance across your entire database fleet. A centralized dashboard provides a unified view of your Cloud SQL, AlloyDB, Spanner, Bigtable, Memorystore and Firestore instances, and now also offers support (in preview) for self-managed databases (MySQL, PostgreSQL, and SQL Server) on Google Compute Engine.
  • AI-assisted troubleshooting: Analyze and troubleshoot the performance of your databases and detect anomalies in the execution of the queries, with AI built into Database Center. When Cloud SQL or AlloyDB detect anomalies in query performance or identify high system load, AI-assisted troubleshooting helps you analyze the situation with evidence and provides recommendations.
Gartner

Google is a Leader in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems

Google is a Leader for the fifth year in a row and is positioned furthest in vision among all vendors evaluated.

Customer success stories

Why Google Cloud databases

Build intelligent gen AI apps with your trusted enterprise data

Quickly build intelligent AI applications with your own trusted enterprise data. Our built-in vector support across all databases lets you store and search vector embeddings with speed and ease, without moving data. Easily enhance your AI apps with knowledge graphs and Graph-based Retrieval Augmented Generation (RAG) for high-value use cases. Seamless integrations with leading AI tools like Vertex AI and LangChain empower you to rapidly build apps that are accurate, relevant, and grounded in enterprise truth.

Gen AI video
Unlocking AI success with enterprise truth

95%

More than 95% of Google Cloud's top 100 customers use Cloud SQL.

4x

AlloyDB is 4x faster than standard PostgreSQL for transactional workloads.

2x

AlloyDB provides up to 2x better price-performance compared to self-managed PostgreSQL.

Modernize legacy apps with the most open data platform

Seamlessly modernize your legacy applications and databases with the most open data platform for flexibility and portability, without vendor lock-in. We support the most popular open source and commercial engines such as MySQL, PostgreSQL, Valkey, Oracle, and SQL Server, ensuring operational efficiency, accelerated development, and lower total-cost-of-ownership (TCO), allowing you to modernize efficiently at your own pace.

Supercharge database development and management with AI

Supercharge database development and management with Gemini for Google Cloud. We’re bringing AI-powered capabilities to assist you with development, performance optimization, fleet management, governance, and migrations. With Gemini in databases, developers, operators, and database administrators can get their jobs done better, faster, and easier than ever before.

Database Center Image
With Gemini in Databases, we can get answers on fleet health in seconds and proactively mitigate potential risks to our applications more swiftly than ever before.

Bogdan Capatina, Technical Expert in Database Technologies, Ford Motor Company

Start your databases journey today

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