gcloud-aio-datastore

What it is and what it does

gcloud-aio-datastore is a Python client for Google Cloud Datastore that provides both asyncio and threadsafe access patterns. It wraps the Google Cloud Datastore API and is part of a shared codebase also used by gcloud-rest-datastore, allowing developers to choose between async or synchronous patterns depending on their application architecture.

The package depends only on gcloud-aio-auth for authentication and is actively maintained with support for Python 3.10 through 3.14. It is intended for developers building applications that need to interact with Google Cloud Datastore, whether in async event-loop contexts or traditional threaded environments.

Use it for:

• Building async applications that query or store data in Google Cloud Datastore
• Migrating from synchronous to async code while maintaining Datastore access
• Serverless functions that need lightweight Datastore clients
• Batch data operations with async concurrency to improve throughput

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Asyncio and threadsafe Python client for Google Cloud Datastore that provides async and synchronous access patterns.

Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and addresses a clear need for async Datastore access in Python. It supports current Python versions (3.10 through 3.14) and has no known vulnerabilities. Install it if you need asyncio-compatible Google Cloud Datastore access.

Install

gcloud-aio-datastore on PyPI

pip install gcloud-aio-datastore

uv add gcloud-aio-datastore

poetry add gcloud-aio-datastore

Installing gcloud-aio-datastore

Before you install

Low friction install with a single runtime dependency (gcloud-aio-auth). Active maintenance with a recent release 36 days ago and last commit on 2026-08-14.

License in practice

MIT license permits commercial and private use with minimal restrictions; suitable for most projects.

Quickstart

pip install gcloud-aio-datastore

from gcloud.aio.datastore import Datastore

datastore = Datastore(project='my-project')
# Use datastore for operations

Requires Python 3.10 or later; gcloud-aio-auth must be installed as a runtime dependency.

Verify before relying

• Whether the package supports both asyncio and threadsafe patterns equally or if one is primary
• Specific Datastore operations supported (query, get, put, delete, transactions, etc.)
• Performance characteristics or throughput limits compared to official Google client
• Whether gcloud-aio-auth provides all required authentication mechanisms for Datastore

Package facts

Evidence: gcloud_aio_datastore-9.2.1-py3-none-any.whl

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