Skip to main content

SQLite for Serverless Computing

Project description


Reuse your SQLite database in serverless applications and reduce prototyping costs.

With this package, you can synchronize your local SQLite database across multiple instances. Different storage vendors can be used and easily added. Commits result in a direct upload of your database. To reduce API calls when reading a database, a cache_duration can be configured.


Multiple write accesses in parallel can lead to data loss. Ideal for read-only applications. Because the database is transferred as a whole file, large databases can cause latency problems.

Available Integrations

  • AWS S3



pip install sqlalchemy_cloudsqlite


import sqlalchemy_cloudsqlite
SQLALCHEMY_DATABASE_URI = "cloudsqlite:///quickstart.sqlite"
engine = create_engine(SQLALCHEMY_DATABASE_URI)


import json
os.environ['config'] = json.dumps(
        'cache_duration': 60,
        'storage': {
            'S3': {'bucket_name': '<BUCKET_NAME>'}

and provide your credentials for S3 access via environment variables or a policy.


This project is based on the following research:

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqlalchemy_cloudsqlite-0.1.0.dev0.tar.gz (4.0 kB view hashes)

Uploaded source

Built Distribution

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page