Snaplet is an all-in-one developer tool that gives developers realistic, production-like data that they can code against.
Snapshots are database snapshots captured from an existing database you can access (typically production). Snapshots can be subset (reduced in size) and the source data can be transformed to your requirements (for example, obfuscating personally identifiable information). Snapshots are restored into a database as part of your workflow, whether that's your local coding environment, a cloud environment, or CI/CD.
If you don't have access to an existing database that has production or production-like data, Snaplet's seed feature allows you to create production-like fake data using AI.
Want to dive right into Snaplet? Follow the snapshot quick start guide to get production-like data in your workflow.
If you don't have a database you can connect to, or would prefer to seed data using our AI seed feature, follow the
seed quick start guide instead.
- Seed data: Create production-like fake data using AI.
- Capture data: Create a database snapshot from your existing database.
- Restore data: Code against your snapshot by restoring it to a database.
- Share data: Collaborate seamlessly by sharing your data on Snaplet Cloud.
- Deploy data: Instantly deploy your snapshot to a Preview Database.
- Snaplet dev flow: Like Git, but for data.
Dive into the key concepts of Snaplet:
📚 Why Snaplet improves improves both code quality and velocity with production-like data.
📚 Seed fake data using AI.
📚 Capture data from your source database into an snapshot.
📚 Restore a snapshot to to a database.
📚 Share a snapshot in Snaplet Cloud.
📚 Deploy a snapshot to a Preview Database.
📚 Snaplet dev flow - data provided seamlessly within your local development process.
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