- Coverage by target cloud
- How the targets compare
- On Google Cloud
- On Azure
- On OCI
- On Private Kubernetes
Coverage by target cloud
How the targets compare
Each row compares a capability of S3 with its adaptation on each target. A dash means this row is not stated for that target.Max adaptation
Infrastructure-only adaptation
On Google Cloud
S3 requests in the customer environment
The application continues using the S3 API. The Tensor9 adapter runs in the customer environment and sends object requests to Google Cloud Storage. It also serves bucket creation, deletion, listing, and configuration through a persistent bucket store. Google Cloud Storage stores the objects; Tensor9 operates the adapter and its bucket-management service.Request flow
Object requests use the target storage service. Bucket settings persist separately and are applied to the target resource.Object requests
Core GetObject, HeadObject, PutObject, CopyObject, DeleteObject, and listing requests use GCS’s S3-interoperable XML endpoint with target credentials. Batch deletion sends per-object deletes and returns S3 Deleted/Error entries. Object tags are encoded in reserved GCS object metadata and reconstructed as S3 tagging documents. The object data stays in GCS; the bucket store does not hold object bodies.Bucket creation and configuration
Each S3 bucket has a durable record containing its name, owner, requested configuration, and target reference. For a bucket namedbucket-name, the S3-facing identifier is arn:aws:s3:::bucket-name; the target resource is a GCS bucket. ListBuckets returns the caller’s buckets, and configuration reads use the stored request state.
A configuration worker applies the stored settings to the target. CreateBucket waits for the target bucket to be ready before returning success, so an immediate object write does not race bucket creation. DeleteBucket waits for removal and returns BucketNotEmpty if objects prevent deletion. A lifecycle update also waits for target application. For other configuration changes, a successful read of the new setting describes stored configuration; it does not imply every target-side change has already completed.
Versions and multipart uploads
GCS multipart uploads use temporary objects for individual parts. Completion calls the GCS JSON compose API to form the final object. At Max, the adapter retains part checksums to supply S3’s composite multipart ETag and maintains the S3 version history and delete markers that differ from native GCS generations. A deployment that only forwards object requests instead exposes the native generation model and compose ETag. ListMultipartUploads and UploadPartCopy remain outside the listed mapping.Target configuration
Bucket versioning, tagging, lifecycle and encryption settings are managed through runtime S3 calls. Lifecycle translation supports the rules listed in the feature comparison: prefix-scoped, relative-age expiration and transitions to STANDARD_IA or ONEZONE_IA, both mapped to Nearline. Unsupported date, filter, noncurrent-version and archival-transition forms return an error rather than a different retention or cost policy. Encryption uses Google-managed keys, Cloud KMS customer-managed keys or customer-supplied keys as applicable; DSSE-KMS and S3 Bucket Keys have no direct equivalent.Placement and operation
GCS provides strong read-after-write consistency and designs for 99.999999999% annual durability. Region, dual-region or multi-region placement controls where the provider stores the data. Cross-bucket replication uses Storage Transfer Service rather than the S3 replication-rule engine. Object notifications go to Pub/Sub; routing to other destination types requires downstream integration. Tensor9 operates the bucket-management adapter, while Google operates object storage.Compatibility limits
Bucket policy is unsupported at every adaptation tier. Object ACL, retention/legal-hold, S3 Select and RestoreObject APIs remain outside the listed S3 endpoint. Native GCS features such as Bucket Lock, Requester Pays and Autoclass must be assessed with their own configuration and semantics; native availability does not turn them into unrestricted S3 API equivalents.Migration and leaving the adapter
A newly provisioned target bucket starts empty. Copy existing objects and required versions with a migration tool or a coordinated dual-write, then verify object data and application reads before switching. Preserve version history through the S3 API when the application depends on S3 version identifiers or delete markers. Leaving the Max adapter requires moving bucket configuration as well as object data. Apply the retained settings to native target resources, resolve any S3-specific version metadata, and move clients to the target’s own API. Keep the adapter and its persistent state until the application no longer depends on those S3 behaviors.On Azure
S3 requests in the customer environment
The application continues using the S3 API. The Tensor9 adapter runs in the customer environment and sends object requests to Azure Blob Storage. It also serves bucket creation, deletion, listing, and configuration through a persistent bucket store. Azure Blob Storage stores the objects; Tensor9 operates the adapter and its bucket-management service.Request flow
Object requests use the target storage service. Bucket settings persist separately and are applied to the target resource.Object requests
Azure Blob uses its own API, so the adapter translates S3 requests, headers, XML results and errors into Blob operations. It streams reads and writes, maps object tags to Blob Index Tags, and handles batch deletion as individual blob deletes. CopyObject downloads and uploads the object rather than using a server-side copy. Flat listing supports prefixes and pagination; delimiter/CommonPrefixes grouping is outside the listed mapping.Bucket creation and configuration
Each S3 bucket has a durable record containing its name, owner, requested configuration, and target reference. For a bucket namedbucket-name, the S3-facing identifier is arn:aws:s3:::bucket-name; the target resource is a Blob container in a selected storage account. ListBuckets returns the caller’s buckets, and configuration reads use the stored request state.
A configuration worker applies the stored settings to the target. CreateBucket waits for the target bucket to be ready before returning success, so an immediate object write does not race bucket creation. DeleteBucket waits for removal and returns BucketNotEmpty if objects prevent deletion. A lifecycle update also waits for target application. For other configuration changes, a successful read of the new setting describes stored configuration; it does not imply every target-side change has already completed.
Versions and multipart uploads
Multipart uploads store parts as Azure blocks and commit a block list at completion. Max retains the part checksums and S3 version metadata needed for composite multipart ETags, S3 version IDs and delete markers. The simpler request-translation path uses Azure’s native version and completion-ETag behavior instead. Single-part writes compute the content MD5 and persist it as Blob Content-MD5. Azure tag-character restrictions still apply, including rejection of @ and non-ASCII characters.Target configuration
The adapter stores per-bucket configuration and reconciles each bucket to a container. Several Azure settings belong to the storage account, including region, redundancy, native versioning and default encryption; a container cannot independently choose them. Shared-account configuration must be planned for all buckets using that account. S3 lifecycle settings use the supported target mappings, and unsupported conditions must not change retention behavior silently. Max supplies S3 metadata where native account-level behavior alone is insufficient.Placement and operation
Azure provides strong consistency. Its documented durability depends on redundancy: 11 nines for LRS, 12 for ZRS, and 16 for GRS or GZRS. Choose the account region and redundancy to meet the customer’s placement and recovery needs. A bucket’s S3 location field does not relocate the storage account. Tensor9 operates the adapter and persistent bucket state; Microsoft operates Blob Storage.Compatibility limits
Bucket policy remains unsupported. The listed object API still has copy-source conditional and hierarchical-listing limits, and suffix or multiple byte ranges use a full-download fallback. A single PutObject is limited to 5000 MiB on this path. Azure has no S3 Requester Pays or direct One Zone storage-class equivalent. Object retention and legal-hold capabilities must be evaluated separately from the runtime APIs this mapping serves.Migration and leaving the adapter
A newly provisioned target bucket starts empty. Copy existing objects and required versions with a migration tool or a coordinated dual-write, then verify object data and application reads before switching. Preserve version history through the S3 API when the application depends on S3 version identifiers or delete markers. Leaving the Max adapter requires moving bucket configuration as well as object data. Apply the retained settings to native target resources, resolve any S3-specific version metadata, and move clients to the target’s own API. Keep the adapter and its persistent state until the application no longer depends on those S3 behaviors.On OCI
S3 requests in the customer environment
The application continues using the S3 API. The Tensor9 adapter runs in the customer environment and sends object requests to OCI Object Storage. It also serves bucket creation, deletion, listing, and configuration through a persistent bucket store. OCI Object Storage stores the objects; Tensor9 operates the adapter and its bucket-management service.Request flow
Object requests use the target storage service. Bucket settings persist separately and are applied to the target resource.Object requests
Object requests use OCI’s Amazon S3 Compatibility endpoint. The adapter changes the endpoint and signs with the customer’s OCI S3-compatible access and secret keys. Core reads, writes, copies, deletes and multipart uploads use the provider API. Object bodies remain in OCI Object Storage, while the adapter stores bucket configuration separately.Bucket creation and configuration
Each S3 bucket has a durable record containing its name, owner, requested configuration, and target reference. For a bucket namedbucket-name, the S3-facing identifier is arn:aws:s3:::bucket-name; the target resource is an OCI Object Storage bucket. ListBuckets returns the caller’s buckets, and configuration reads use the stored request state.
A configuration worker applies the stored settings to the target. CreateBucket waits for the target bucket to be ready before returning success, so an immediate object write does not race bucket creation. DeleteBucket waits for removal and returns BucketNotEmpty if objects prevent deletion. A lifecycle update also waits for target application. For other configuration changes, a successful read of the new setting describes stored configuration; it does not imply every target-side change has already completed.