---
id: google-cloud-datastore
version: "2.26.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# google-cloud-datastore — Google Cloud Datastore API client library

License: permissive · Maintenance: active · Downloads: 5.8M/mo

## What it is and what it does

This is the official Python client for Google Cloud Datastore, Google's managed NoSQL database service. It provides a high-level interface to read, write, query, and delete entities in a schemaless database hosted on Google Cloud Platform. The library handles authentication, connection pooling, and protocol translation through its dependencies on google-api-core, google-auth, and grpcio.

You use it when your application needs persistent storage on GCP and you want to avoid managing database infrastructure. It's commonly used for web applications, mobile backends, and microservices that require flexible schema and automatic scaling. The library is production-stable, actively maintained, and supports modern Python versions (3.10 through 3.14).

Use it for:

- Store and query user profiles, sessions, or application state in a managed NoSQL database without schema enforcement.
- Build a web application backend that auto-scales database capacity based on demand without provisioning effort.
- Implement a document store for semi-structured data like configuration, logs, or event records.
- Migrate from a self-hosted database to a fully managed GCP service with minimal code changes.
- Prototype applications quickly using a flexible schema that evolves with your data model.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Python client library for Google Cloud Datastore, a managed NoSQL database service that provides schemaless storage for applications.

Yes, if you are building on Google Cloud Platform and need a managed NoSQL database. The library is production-stable, actively maintained, has no known vulnerabilities, and low install friction. Install only if you have a GCP project with Datastore enabled and authentication configured; it is not useful outside that ecosystem.

## Install

pip install google-cloud-datastore
uv add google-cloud-datastore
poetry add google-cloud-datastore

## Installing google-cloud-datastore

Before you install: Low install friction with a pure-wheel distribution. Actively maintained with recent releases; last commit 2026-08-14. Requires Python >= 3.10 and depends on six Google-authored packages (google-api-core, google-auth, google-cloud-core, grpcio, proto-plus, protobuf).

License in practice: Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions. No notable licensing barriers for most projects.

Quickstart:

pip install google-cloud-datastore

from google.cloud import datastore

client = datastore.Client(project='your-project-id')
query = client.query(kind='Task')
results = list(query.fetch())

Requires Google Cloud Platform project setup, billing enabled, Cloud Datastore service enabled, and authentication credentials configured (via GOOGLE_APPLICATION_CREDENTIALS or Application Default Credentials).

Verify before relying:

- Whether the library supports async/await patterns for non-blocking operations.
- Performance characteristics and throughput limits for typical workloads.
- Specific transaction isolation levels and consistency guarantees offered.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 5.8M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

google cloud datastore client, nosql database python, cloud datastore api, managed database storage, schemaless datastore, google cloud python client, gcp, nosql, managed-service

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