{
  "id": "amazon-aurora-vs-azure-database-for-postgresql",
  "ids": [
    "amazon-aurora",
    "azure-database-for-postgresql"
  ],
  "title": "Amazon Aurora vs Azure Database for PostgreSQL: managed database engines, compatibility and recovery",
  "heading": "Amazon Aurora vs Azure Database for PostgreSQL",
  "kicker": "Software architecture comparison",
  "deck": "A PostgreSQL comparison should use Aurora PostgreSQL, not Aurora MySQL. Review the selected cluster or server configuration, supported extensions and recovery process in the cloud where the application will run.",
  "description": "Compare Amazon Aurora vs Azure Database for PostgreSQL for managed database engines, compatibility and recovery.",
  "answerHeading": "Which option fits the requirement?",
  "answer": "A PostgreSQL comparison should use Aurora PostgreSQL, not Aurora MySQL. Review the selected cluster or server configuration, supported extensions and recovery process in the cloud where the application will run.",
  "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 Amazon Aurora vs Azure Database for PostgreSQL.",
  "type": "workflow-buying",
  "sharedBuyingNeed": "Evaluate alternative approaches to managed database engines, compatibility and recovery.",
  "rows": [
    [
      "Cloud provider",
      "AWS",
      "Microsoft Azure"
    ],
    [
      "Engine scope",
      "Aurora PostgreSQL-compatible or MySQL-compatible engine",
      "Managed PostgreSQL"
    ],
    [
      "Deployment unit",
      "Aurora database cluster",
      "PostgreSQL server configuration"
    ],
    [
      "Read-capacity planning",
      "Selected Aurora reader arrangement",
      "Selected compute and supported replica arrangement"
    ],
    [
      "Network context",
      "AWS VPC connectivity",
      "Azure networking configuration"
    ],
    [
      "Compatibility check",
      "Application compatibility with the chosen Aurora engine",
      "PostgreSQL version, extensions and supported operations"
    ],
    [
      "Cost components",
      "Cluster resources, storage, I/O model and readers",
      "Server compute, storage, backups and availability configuration"
    ]
  ],
  "scenarios": [
    {
      "name": "Schema compatibility",
      "question": "Can the team import required schema objects and extensions?",
      "left": "With Amazon Aurora, 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 Amazon Aurora, 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 Amazon Aurora, 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 Amazon Aurora, 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": [
        "A PostgreSQL comparison should use Aurora PostgreSQL, not Aurora MySQL. Review the selected cluster or server configuration, supported extensions and recovery process in the cloud where the application will run.",
        "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://aws.amazon.com/rds/aurora/",
          "label": "Amazon Aurora 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 Amazon Aurora, include cluster resources, storage, I/O model and readers. 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 Amazon Aurora and Azure Database for PostgreSQL?",
      "answer": "A PostgreSQL comparison should use Aurora PostgreSQL, not Aurora MySQL. Review the selected cluster or server configuration, supported extensions and recovery process in the cloud where the application will run."
    },
    {
      "question": "Which costs belong in the comparison?",
      "answer": "For Amazon Aurora, include cluster resources, storage, I/O model and readers. 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://aws.amazon.com/rds/aurora/",
      "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"
    }
  ]
}