DBSnapper automates the creation, management, and de-identification of database snapshots for development and testing. It generates relationally-consistent, masked subsets of production data, enabling secure access for dev, QA, and AI/ML teams without compromising compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Development, testing, and AI/ML teams often struggle with accessing production-grade data due to security concerns and the complexity of manual data preparation. This leads to inefficient workflows, delayed onboarding, and the use of outdated or incomplete datasets, hindering productivity and innovation.
Solution
DBSnapper provides an automated platform for creating, managing, and de-identifying database snapshots, enabling secure access to production-like data for development and testing environments. The system generates relationally-consistent subsets of databases, effectively masking sensitive information while preserving data integrity. This allows development, QA, and AI/ML teams to work with realistic datasets without compromising data security or compliance. Integrations with tools like VSCode, Terraform, and GitHub Actions streamline the process, accelerating onboarding and boosting developer productivity.
Target Audience
The primary customers are platform engineering, DevOps, and development teams within organizations that require secure, production-like data for their development, testing, and AI/ML workflows.
Features
- Automated database snapshotting and de-identification for PostgreSQL and MySQL.
- Relationally-consistent data subsetting to create smaller, manageable datasets.
- Sensitive data masking and removal to ensure compliance with privacy regulations.
- Support for Bring Your Own Storage (BYOS) with cloud providers like Amazon S3 and Cloudflare R2.
- VSCode extension for in-editor database snapshot management.
- Terraform provider for Infrastructure as Code (IaC) management of DBSnapper resources.
- GitHub Actions integration for automating snapshot generation within CI/CD pipelines.
- AI integration capabilities for natural language database management and intelligent discovery.
- Single Sign-On (SSO) support, including Okta OIDC, for secure team sharing and access control.
- Ephemeral sanitization to avoid the need for temporary databases during data processing.