Spanner Omni, the deploy-anywhere version of Spanner, is now generally available, ready to power your most demanding production workloads in your on-premises data center or on other clouds.
With Spanner, Google pioneered the distributed SQL market over a decade ago, combining the horizontal scalability of NoSQL with the ACID compliance and strong consistency of a traditional relational database. Since then, Spanner has evolved into an interoperable multi-model database that simplifies complex workloads and powers agentic AI, combining SQL, graph, key-value, full-text search, vector search, and analytical processing with a columnar engine, all in a single database.
When we debuted Spanner Omni at Google Cloud Next ’26, we untethered our distributed database from Google Cloud and brought it directly to your infrastructure. This generated incredible interest from both the enterprise customers and developer community.
Spanner Omni delivers the same core capabilities as the fully managed Spanner service, with the added freedom to deploy it wherever you need it. Whether you’re running virtual machines or Kubernetes in your private data centers, running a multi-cloud deployment that spans multiple clouds, or testing locally on a laptop, Spanner Omni brings Google-grade consistency, availability, scale, and interoperable multi-model capabilities directly to your next agentic AI applications.
Spanner Omni enables teams to build once and deploy anywhere, providing application portability across Google Cloud, on-premises and other clouds. Attio, an AI-native CRM company based in London, has built its platform on Spanner. Attio migrated its agentic application environment to a full-featured and containerized Spanner Omni + managed Spanner.
"At Attio, we are building the world's most advanced agentic application environment on Spanner to deliver on our vision for an AI-native CRM platform. Spanner Omni has been a major win for us by delivering Spanner capabilities and performance across all our environments, allowing our agents to bring complex, mission-critical workflows such as the newly announced Spanner queues, to production. With Spanner Omni, we have been able to accelerate our production velocity at a truly enhanced level of scale and confidence that was not possible earlier." - Alexander Christie, Co-Founder & CTO, Attio
Spanner Omni extends Spanner's converged multi-model foundation directly to your private infrastructure and third-party clouds, providing critical capabilities for AI workloads:
Vector search and Spanner Graph: Natively store and index vector embeddings alongside your relational tables. With support for KNN and ANN search, you can combine semantic similarity with structured SQL filters. Spanner Graph integrates property graphs directly into the engine, allowing you to trace complex entity relationships and connect graph traversals with vector search.
Model Context Protocol (MCP) support: Integrate directly with agentic systems using MCP Toolbox. This open standard allows autonomous agents to inspect schemas, retrieve relevant context, and use Spanner Omni as an operational memory layer across multi-cloud deployments.
Since the preview, we’ve been working to expand Spanner Omni’s capabilities, and refine the pricing model for production-ready deployments.
The GA release unblocks the full suite of enterprise-grade capabilities required for mission-critical production workloads, including:
Robust security and governance: Support for advanced enterprise security, including TLS encryption, authentication and authorization, and audit logging
Data protection: High-performance backup and restore capabilities to safeguard your data against “fat-finger” deletion or data corruption
Worker nodes: Dedicated, stateless compute nodes unique to Spanner Omni that are designed to offload background and resource-intensive operations from primary Spanner Omni servers, so they can focus on handling core database workloads
Enterprise-grade support: Direct access to Google Cloud Customer Care to keep your critical workloads running smoothly
To support you at every stage of development, Spanner Omni offers two distinct licensing tiers designed to fit your scale and budget:
Our goal with Spanner Omni is to provide parity with the fully managed Spanner service on Google Cloud. However, as self-managed software, deploying and operating Spanner Omni differs from fully managed Spanner on Google Cloud in several ways:
Self-managed operations: You are responsible for all day-to-day operations, including routine maintenance, version upgrades, and infrastructure monitoring.
Availability and SLAs: Because Spanner Omni runs on customer-managed infrastructure, Google does not provide availability SLAs. However, deploying according to our recommended reference architectures will help you achieve comparable high availability.
Integration with Google Cloud: To ensure it can run anywhere, Spanner Omni excludes capabilities available in managed Spanner that rely on Google Cloud-specific capabilities, such as native integrations with BigQuery, Knowledge Catalog, or Gemini Enterprise and other Google Cloud services.
Feature-parity roadmap: While some feature gaps exist today between Spanner Omni and fully managed Spanner, we are actively developing updates to close these gaps in future releases.
Whether you’re modernizing on-prem legacy systems or building a resilient multi-cloud architecture, Spanner Omni is ready to help you scale.
For more information, visit the Spanner Omni website to explore documentation and use cases. To use the Spanner Omni commercial edition with full features, please contact your Google Cloud account team or reach out to us at https://cloud.google.com/consulting/spanner-omni.
For developing and testing for non-commercial, non-production purposes, download the Spanner Omni developer edition.