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.
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.
Relational 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.
Non-relational databases
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
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
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.
Customer success stories
LinearUses Cloud SQL’s pgvector capability to help streamline bug tracking and identify repeat issues which saves their customers time and resources.5-min read
Deutsche BankUses Spanner for its high availability, external consistency, and infinite horizontal scalability for their online banking platform.5-min read
Credit KarmaUses Bigtable and BigQuery to push recommendations through its modeling scoring service, running ~58 billion model predictions per day.5-min read
InstacartMigrated from a self-managed Memcached system to Memorystore for Memcached and reduced their cloud bill by 23%, improved latency by 18.5%, and eliminated 80-100 hours of maintenance.5-min read
Grupo GloboMigrated from Cassandra to Bigtable and the more efficient application maintenance contributed to 60% savings, without sacrificing performance or features.5-min read
Chess.comWith Cloud SQL Enterprise Plus edition, Chess.com can now seamlessly connect millions of chess players worldwide at a lower price-performance.5-min read
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.
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.
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
