{
  "id": "google-alloydb-for-postgresql-vs-amazon-aurora",
  "ids": [
    "google-alloydb-for-postgresql",
    "amazon-aurora"
  ],
  "title": "Google AlloyDB for PostgreSQL vs Amazon Aurora: PostgreSQL compatibility and database architecture",
  "heading": "Google AlloyDB for PostgreSQL vs Amazon Aurora",
  "kicker": "Cloud software comparison",
  "deck": "Compare Google AlloyDB for PostgreSQL vs Amazon Aurora for PostgreSQL compatibility and database architecture. Review the deployment model, migration work and proposed acceptance checks.",
  "description": "Google AlloyDB for PostgreSQL vs Amazon Aurora: compare PostgreSQL compatibility and database architecture before choosing a deployment.",
  "answerHeading": "Which option fits the workload?",
  "answer": "Consider Google AlloyDB for PostgreSQL when a Google Cloud application needs AlloyDB's PostgreSQL-compatible service. Consider Amazon Aurora when an AWS application needs Aurora PostgreSQL or Aurora MySQL compatibility. Validate the required configuration and operating responsibilities before comparing costs.",
  "checkedAt": "2026-10-25",
  "researchTag": "Architecture, migration and operating scope",
  "researchLimit": "Official product documentation and product pages reviewed. Proposed exercises are evaluation briefs, not completed performance benchmarks or private product trials.",
  "datasetDescription": "Seven differences and four proposed workload acceptance checks for Google AlloyDB for PostgreSQL vs Amazon Aurora.",
  "type": "workflow-buying",
  "sharedBuyingNeed": "Evaluate alternative services for PostgreSQL compatibility and database architecture.",
  "rows": [
    [
      "Provider",
      "Google Cloud",
      "AWS"
    ],
    [
      "Engine scope",
      "PostgreSQL-compatible AlloyDB",
      "Aurora PostgreSQL-compatible and MySQL-compatible options"
    ],
    [
      "Application baseline",
      "Validate PostgreSQL version and feature compatibility",
      "Choose Aurora engine compatibility before testing"
    ],
    [
      "Topology",
      "AlloyDB clusters and read pools",
      "Aurora clusters and supported reader arrangements"
    ],
    [
      "Cloud integration",
      "Google Cloud networking and IAM context",
      "AWS networking and IAM context"
    ],
    [
      "Migration review",
      "PostgreSQL features, extensions and operational changes",
      "Chosen engine features, extensions and operational changes"
    ],
    [
      "Cost exercise",
      "Cluster resources, storage and read capacity",
      "Cluster resources, storage, I/O model and read capacity"
    ]
  ],
  "scenarios": [
    {
      "name": "Compatibility",
      "question": "Can the team import the required PostgreSQL schema and extensions?",
      "left": "Using Google AlloyDB for PostgreSQL, import the required PostgreSQL schema and extensions.",
      "right": "Using Amazon Aurora, import the required PostgreSQL schema and extensions.",
      "note": "The chosen database configuration supports every mandatory object."
    },
    {
      "name": "Query behaviour",
      "question": "Can the team run critical application transactions with representative data?",
      "left": "Using Google AlloyDB for PostgreSQL, run critical application transactions with representative data.",
      "right": "Using Amazon Aurora, run critical application transactions with representative data.",
      "note": "Results and transaction outcomes meet the application specification."
    },
    {
      "name": "Read routing",
      "question": "Can the team direct test read traffic to the proposed read-capacity arrangement?",
      "left": "Using Google AlloyDB for PostgreSQL, direct test read traffic to the proposed read-capacity arrangement.",
      "right": "Using Amazon Aurora, direct test read traffic to the proposed read-capacity arrangement.",
      "note": "Reads reach the intended target and satisfy consistency requirements."
    },
    {
      "name": "Recovery",
      "question": "Can the team rehearse restore and application reconnection in a separate environment?",
      "left": "Using Google AlloyDB for PostgreSQL, rehearse restore and application reconnection in a separate environment.",
      "right": "Using Amazon Aurora, rehearse restore and application reconnection in a separate environment.",
      "note": "The recovery procedure is documented and repeatable."
    }
  ],
  "exampleTable": {
    "caption": "Proposed acceptance checks using authorised non-production resources. Record the selected region, configuration and observed result.",
    "headers": [
      "Requirement",
      "Proposed exercise",
      "Accept when"
    ],
    "rows": [
      [
        "Compatibility",
        "Import the required PostgreSQL schema and extensions.",
        "The chosen database configuration supports every mandatory object."
      ],
      [
        "Query behaviour",
        "Run critical application transactions with representative data.",
        "Results and transaction outcomes meet the application specification."
      ],
      [
        "Read routing",
        "Direct test read traffic to the proposed read-capacity arrangement.",
        "Reads reach the intended target and satisfy consistency requirements."
      ],
      [
        "Recovery",
        "Rehearse restore and application reconnection in a separate environment.",
        "The recovery procedure is documented and repeatable."
      ]
    ]
  },
  "sections": [
    {
      "id": "architecture-and-fit",
      "title": "Architecture and application fit",
      "paragraphs": [
        "For a PostgreSQL application, compare AlloyDB with Aurora PostgreSQL rather than with an unspecified Aurora configuration. Aurora also offers MySQL compatibility, which is a different migration question.",
        "Compatibility does not prove identical behaviour for every extension, privileged operation or operational task. Validate application queries and required extensions against the exact supported versions and configuration."
      ],
      "links": [
        {
          "url": "https://docs.cloud.google.com/alloydb/docs?hl=en",
          "label": "Google AlloyDB for PostgreSQL product documentation"
        },
        {
          "url": "https://aws.amazon.com/rds/aurora/",
          "label": "Amazon Aurora product information"
        }
      ],
      "navLabel": "Architecture"
    },
    {
      "id": "cost-and-migration",
      "title": "Cost and migration planning",
      "paragraphs": [
        "Read pools or readers should be costed against a measured workload requirement. Adding read capacity without validating connection routing and query behaviour can add cost without fixing the application bottleneck.",
        "Plan backup restoration, maintenance and rollback alongside migration. Neither a vendor performance claim nor a successful small import establishes how your production workload will behave."
      ],
      "navLabel": "Costs & migration"
    }
  ],
  "faqs": [
    {
      "question": "When should I choose Google AlloyDB for PostgreSQL over Amazon Aurora?",
      "answer": "Consider Google AlloyDB for PostgreSQL when a Google Cloud application needs AlloyDB's PostgreSQL-compatible service. Consider Amazon Aurora when an AWS application needs Aurora PostgreSQL or Aurora MySQL compatibility. Validate the required configuration and operating responsibilities before comparing costs."
    },
    {
      "question": "What should we include in the cost comparison?",
      "answer": "Read pools or readers should be costed against a measured workload requirement. Adding read capacity without validating connection routing and query behaviour can add cost without fixing the application bottleneck."
    },
    {
      "question": "What should we test before a production migration?",
      "answer": "Plan backup restoration, maintenance and rollback alongside migration. Neither a vendor performance claim nor a successful small import establishes how your production workload will behave."
    }
  ],
  "sources": [
    {
      "url": "https://docs.cloud.google.com/alloydb/docs?hl=en",
      "facts": "Official product scope, deployment context and capabilities used in this comparison."
    },
    {
      "url": "https://aws.amazon.com/rds/aurora/",
      "facts": "Official product scope, deployment context and capabilities used in this comparison."
    }
  ],
  "relatedLinks": [
    {
      "path": "/categories/database-software/",
      "title": "Database Software software"
    }
  ]
}