{ "id": "google-alloydb-for-postgresql-vs-azure-database-for-postgresql", "ids": [ "google-alloydb-for-postgresql", "azure-database-for-postgresql" ], "title": "Google AlloyDB for PostgreSQL vs Azure Database for PostgreSQL: managed database engines, compatibility and recovery", "heading": "Google AlloyDB for PostgreSQL vs Azure Database for PostgreSQL", "kicker": "Software architecture comparison", "deck": "AlloyDB offers a PostgreSQL-compatible service in Google Cloud; Azure Database for PostgreSQL provides managed PostgreSQL in Azure. Validate the exact extensions and query behaviour required by the application rather than assuming compatibility proves identical operation.", "description": "Compare Google AlloyDB for PostgreSQL vs Azure Database for PostgreSQL for managed database engines, compatibility and recovery.", "answerHeading": "Which option fits the requirement?", "answer": "AlloyDB offers a PostgreSQL-compatible service in Google Cloud; Azure Database for PostgreSQL provides managed PostgreSQL in Azure. Validate the exact extensions and query behaviour required by the application rather than assuming compatibility proves identical operation.", "checkedAt": "2026-10-25", "researchTag": "Deployment, compatibility and cost scope", "researchLimit": "Official product material reviewed. Acceptance checks are proposed exercises, not completed product trials, performance measurements or reliability guarantees.", "datasetDescription": "Seven technical differences and four proposed acceptance checks for Google AlloyDB for PostgreSQL vs Azure Database for PostgreSQL.", "type": "workflow-buying", "sharedBuyingNeed": "Evaluate alternative approaches to managed database engines, compatibility and recovery.", "rows": [ [ "Cloud provider", "Google Cloud", "Microsoft Azure" ], [ "Engine scope", "PostgreSQL-compatible AlloyDB engine", "Managed PostgreSQL" ], [ "Deployment unit", "AlloyDB cluster", "PostgreSQL server configuration" ], [ "Read-capacity planning", "AlloyDB read pools", "Selected compute and supported replica arrangement" ], [ "Network context", "Google Cloud networking", "Azure networking configuration" ], [ "Compatibility check", "Application and extension compatibility with the selected AlloyDB configuration", "PostgreSQL version, extensions and supported operations" ], [ "Cost components", "Cluster resources, storage and read pools", "Server compute, storage, backups and availability configuration" ] ], "scenarios": [ { "name": "Schema compatibility", "question": "Can the team import required schema objects and extensions?", "left": "With Google AlloyDB for PostgreSQL, import required schema objects and extensions.", "right": "With Azure Database for PostgreSQL, import required schema objects and extensions.", "note": "Every mandatory object is supported by the selected configuration." }, { "name": "Application transactions", "question": "Can the team run representative critical read and write transactions?", "left": "With Google AlloyDB for PostgreSQL, run representative critical read and write transactions.", "right": "With Azure Database for PostgreSQL, run representative critical read and write transactions.", "note": "Results and transaction outcomes match the application specification." }, { "name": "Restore drill", "question": "Can the team restore a test backup into a separate environment?", "left": "With Google AlloyDB for PostgreSQL, restore a test backup into a separate environment.", "right": "With Azure Database for PostgreSQL, restore a test backup into a separate environment.", "note": "The restored database passes application checks." }, { "name": "Cutover plan", "question": "Can the team rehearse application reconnection and rollback?", "left": "With Google AlloyDB for PostgreSQL, rehearse application reconnection and rollback.", "right": "With Azure Database for PostgreSQL, rehearse application reconnection and rollback.", "note": "The team can explain the cutover and recovery sequence." } ], "exampleTable": { "caption": "Proposed checks using authorised non-production resources. Record the actual account, region, version, configuration and observed outcome.", "headers": [ "Requirement", "Proposed exercise", "Accept when" ], "rows": [ [ "Schema compatibility", "Import required schema objects and extensions.", "Every mandatory object is supported by the selected configuration." ], [ "Application transactions", "Run representative critical read and write transactions.", "Results and transaction outcomes match the application specification." ], [ "Restore drill", "Restore a test backup into a separate environment.", "The restored database passes application checks." ], [ "Cutover plan", "Rehearse application reconnection and rollback.", "The team can explain the cutover and recovery sequence." ] ] }, "sections": [ { "id": "scope-and-architecture", "title": "Scope and architecture", "paragraphs": [ "AlloyDB offers a PostgreSQL-compatible service in Google Cloud; Azure Database for PostgreSQL provides managed PostgreSQL in Azure. Validate the exact extensions and query behaviour required by the application rather than assuming compatibility proves identical operation.", "The service family name is not the database engine. Select the engine, version, extensions, availability configuration and connection behaviour before making an engine-compatible comparison." ], "links": [ { "url": "https://docs.cloud.google.com/alloydb/docs?hl=en", "label": "Google AlloyDB for PostgreSQL product information" }, { "url": "https://azure.microsoft.com/en-gb/products/postgresql", "label": "Azure Database for PostgreSQL product information" } ], "navLabel": "Architecture" }, { "id": "cost-and-migration", "title": "Cost and migration planning", "paragraphs": [ "For Google AlloyDB for PostgreSQL, include cluster resources, storage and read pools. For Azure Database for PostgreSQL, include server compute, storage, backups and availability configuration. Use the same workload and resilience assumptions, then confirm current vendor terms for the selected configuration.", "Import representative schemas and data, then run the application's critical queries and transactions. Check extensions, privileged operations, maintenance behaviour and restore procedures before planning a production cutover." ], "navLabel": "Costs & migration" } ], "faqs": [ { "question": "How should we choose between Google AlloyDB for PostgreSQL and Azure Database for PostgreSQL?", "answer": "AlloyDB offers a PostgreSQL-compatible service in Google Cloud; Azure Database for PostgreSQL provides managed PostgreSQL in Azure. Validate the exact extensions and query behaviour required by the application rather than assuming compatibility proves identical operation." }, { "question": "Which costs belong in the comparison?", "answer": "For Google AlloyDB for PostgreSQL, include cluster resources, storage and read pools. For Azure Database for PostgreSQL, include server compute, storage, backups and availability configuration. Use the same workload and resilience assumptions, then confirm current vendor terms for the selected configuration." }, { "question": "What should we validate before a production move?", "answer": "Import representative schemas and data, then run the application's critical queries and transactions. Check extensions, privileged operations, maintenance behaviour and restore procedures before planning a production cutover." } ], "sources": [ { "url": "https://docs.cloud.google.com/alloydb/docs?hl=en", "facts": "Official product scope, deployment and integration context used for managed database engines, compatibility and recovery." }, { "url": "https://azure.microsoft.com/en-gb/products/postgresql", "facts": "Official product scope, deployment and integration context used for managed database engines, compatibility and recovery." } ], "relatedLinks": [ { "path": "/categories/database-software/", "title": "Database Software software" }, { "path": "/guides/cloud-cost-checklist/", "title": "Cloud workload and cost checklist" } ] }