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aws-cdk.aws-s3tables-alpha

CDK Constructs for S3 Tables

With conditionsPyPI Application FrameworksReleased Aug 2026518.0K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — aws_cdk_aws_s3tables_alpha-2.265.0a0-py3-none-any.whl
v2.265.0a0 · released 2026-08-13 · Python >=3.10 · 4 runtime deps: aws-cdk-lib, constructs, jsii, publication

Yes, if you are actively using AWS CDK to manage S3 infrastructure and need to provision S3 Tables with Iceberg support. The package is actively maintained, has no known vulnerabilities, and low install friction. However, be aware that the APIs are experimental and subject to breaking changes between releases—unsuitable for projects requiring strict backward compatibility. For production use, plan for version pinning and regular testing of upgrades.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later; intended for use within an AWS CDK application stack context.
  • Active maintenance with a recent release; low install friction and four runtime dependencies all from the AWS CDK ecosystem.
  • The package is marked experimental and subject to non-backward-compatible changes, so expect breaking updates between versions.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most production and open-source projects.

last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 12,868 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 517,975 downloads/mo, #6,225 on PyPI

Verify before relying

pip install aws-cdk.aws-s3tables-alpha

from aws_cdk.aws_s3tables_alpha import TableBucket, UnreferencedFileRemoval, UnreferencedFileRemovalStatus

sample_table_bucket = TableBucket(scope, "ExampleTableBucket",
    table_bucket_name="example-bucket-1",
    unreferenced_file_removal=UnreferencedFileRemoval(
        status=UnreferencedFileRemovalStatus.ENABLED,
        noncurrent_days=20,
        unreferenced_days=20
    )
)
  • Whether breaking changes between alpha versions require code updates in practice and how frequently they occur.
  • Performance characteristics and scalability limits for large numbers of tables or namespaces.
  • Compatibility with non-Python CDK languages and cross-language construct usage patterns.
Same gist for agents: .md · .json

What it is and what it does

This package provides high-level AWS CDK constructs for provisioning and managing S3 Tables, AWS's cloud object store with native Apache Iceberg table format support. It lets you define table buckets, namespaces, and individual tables using Python code, with full control over schema, partitioning, sort orders, and lifecycle policies like unreferenced file removal and snapshot management.

The constructs wrap the underlying S3 Tables API and integrate with CDK's permission and encryption systems, allowing you to grant IAM principals read/write access and configure KMS or S3-managed encryption in declarative code. Because the APIs are experimental and subject to breaking changes, it is best suited for teams actively tracking AWS S3 Tables development and willing to update code as the service matures.

Use it for

  • Define and deploy S3 table buckets with automatic cleanup of unreferenced files and snapshot retention policies.
  • Create Iceberg tables with custom schemas, partitioning strategies, and sort orders for optimized analytical queries.
  • Grant fine-grained IAM permissions to table buckets and individual tables for multi-tenant or cross-account access.
  • Configure encryption settings (KMS or S3-managed) and manage key access alongside table infrastructure.
  • Manage table namespaces and organize multiple related tables within a single bucket using infrastructure-as-code.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are actively using AWS CDK to manage S3 infrastructure and need to provision S3 Tables with Iceberg support.

The package is actively maintained, has no known vulnerabilities, and low install friction. However, be aware that the APIs are experimental and subject to breaking changes between releases—unsuitable for projects requiring strict backward compatibility. For production use, plan for version pinning and regular testing of upgrades.

Install

aws-cdk-aws-s3tables-alpha on PyPI

Before you install

Active maintenance with a recent release; low install friction and four runtime dependencies all from the AWS CDK ecosystem. The package is marked experimental and subject to non-backward-compatible changes, so expect breaking updates between versions.

Requires Python 3.10 or later; intended for use within an AWS CDK application stack context.

License in practice

Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most production and open-source projects.

Quickstart

pip install aws-cdk.aws-s3tables-alpha

from aws_cdk.aws_s3tables_alpha import TableBucket, UnreferencedFileRemoval, UnreferencedFileRemovalStatus

sample_table_bucket = TableBucket(scope, "ExampleTableBucket",
    table_bucket_name="example-bucket-1",
    unreferenced_file_removal=UnreferencedFileRemoval(
        status=UnreferencedFileRemovalStatus.ENABLED,
        noncurrent_days=20,
        unreferenced_days=20
    )
)

Verify before relying

  • Whether breaking changes between alpha versions require code updates in practice and how frequently they occur.
  • Performance characteristics and scalability limits for large numbers of tables or namespaces.
  • Compatibility with non-Python CDK languages and cross-language construct usage patterns.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
aws-cdk-libconstructsjsiipublication
MaintenanceActively maintained 1 days since the last release
Last repo commit
First released
Downloads517,975 / month, #6,225 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaFramework :: AWS CDKFramework :: AWS CDK :: 2Intended Audience :: DevelopersLicense :: OSI ApprovedOperating System :: OS IndependentProgramming Language :: JavaScriptProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Typing :: Typed

Evidence: aws_cdk_aws_s3tables_alpha-2.265.0a0-py3-none-any.whl

Tags

Capabilities
aws cdk s3 tablesiceberg table bucket constructss3 tables infrastructure as codeapache iceberg cdks3 table namespace managementtabular data s3 storagecdk s3 table permissions
Topics
aws-cdkinfrastructure-as-codeiceberg

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See also aws-cdk.aws-s3 · aws-cdk.aws-dynamodb · aws-cdk.aws-location-alpha · aws-cdk.aws-ecr · aws-cdk.aws-codestar-alpha · aws-cdk.aws-kinesisfirehose-alpha · aws-cdk.aws-redshift-alpha · aws-cdk.aws-secretsmanager · aws-cdk.aws-s3-deployment · aws-cdk.aws-neptune-alpha