AWS Secrets Manager vs Google Cloud Secret Manager: Which Alternative is Best? (2026)

AWS Secrets Manager is a fully managed cloud service and does not support self-hosting or offline operation. For local development, you can mock the Secrets Manager API or use environment variables, but the actual service requires internet connectivity and AWS infrastructure.

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Secrets stored in AWS Secrets Manager are encrypted at rest using AWS KMS (Key Management Service) keys. You retain ownership and control of the encryption keys if you use customer-managed KMS keys, ensuring that only authorized IAM principals can decrypt and access secrets. AWS does not have access to the plaintext secrets without your permission.

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Yes, AWS Secrets Manager enforces API rate limits, typically around 40 requests per second per account per region, which can impact applications with very high secret access frequency. Additionally, costs can increase significantly with many API calls due to per-API-call pricing, so caching secrets locally or using AWS SDK caching mechanisms is recommended to reduce calls and control expenses.

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AWS Secrets Manager does not provide a native bulk export feature for secrets due to security reasons. To migrate secrets, you typically write scripts using AWS SDKs to programmatically retrieve each secret and then securely transfer it to the target system. Care must be taken to handle secrets securely during export and import to avoid exposure.

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Google Cloud Secret Manager is a fully managed service provided by Google Cloud and does not support self-hosting. It is designed to integrate tightly with GCP's IAM and audit logging infrastructure, so you cannot deploy it on-premises or outside of Google's cloud environment.

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No, Google Cloud Secret Manager requires an active connection to Google Cloud APIs to retrieve secrets. It does not provide built-in offline access or local caching mechanisms, so applications that need secrets in disconnected or air-gapped environments must implement their own caching or secret synchronization strategies.

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The data (secrets) stored in Google Cloud Secret Manager remains the property of the customer. Google acts as the data processor and secures the secrets using encryption at rest and in transit, with keys managed by Google or optionally customer-managed keys via Cloud KMS. Access is controlled via IAM policies and all access is logged for audit purposes.

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Yes, Google Cloud Secret Manager enforces API quotas such as requests per minute per project and per user. While these limits are generally sufficient for typical application use, very high-frequency secret access patterns may require quota increases or caching strategies to avoid throttling.

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Google Cloud Secret Manager supports exporting secret versions via the API, but it does not provide a native bulk export tool. Migration typically involves scripting calls to the API to retrieve secret payloads and metadata, then importing them into the target system. Care must be taken to securely handle secrets during migration to avoid exposure.

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