HomeProjectsDatabase Vault: Backup & Recovery SaaS Engineering

Database Vault: Backup & Recovery SaaS Engineering

Founder & Full-Stack Engineer

Client
Client · Database Vault
Category
Category · SaaS / DevTools
Year
Shipped · 2025

Database Vault is a secure SaaS product for automated cloud database backups — PostgreSQL, MySQL, MongoDB, Firebase, and Supabase — with encrypted storage, scheduling, monitoring, and one-click restore. I founded and built the product end to end.

Business problem

Teams need scheduled database backups and a usable recovery workflow without maintaining separate scripts for every database provider.

My role and architecture

As founder and full-stack engineer, I built the Next.js application, authentication, LemonSqueezy billing, Supabase-backed data, backup orchestration and restore flows. The product supports PostgreSQL, MySQL, MongoDB, Firebase and Supabase.

Failure modes addressed by the design

Scheduled jobs, status monitoring and retention policies replace a workflow dependent on manually maintained scripts. Encrypted independent cloud storage separates backups from the primary database infrastructure. Restore flows provide a recovery mechanism; this case study does not claim a measured recovery time or guaranteed zero data loss.

Relevant services

See Next.js SaaS development, Supabase engineering and production readiness audits.

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Focus areas on this build: SaaS architecture, full-stack development, database backups, cloud storage, billing integration.

What I built

  • Founded and shipped Database Vault as a production SaaS for multi-engine cloud backups
  • Built automated scheduling, encrypted storage, monitoring, and one-click restore flows
  • Supported PostgreSQL, MySQL, MongoDB, Firebase, and Supabase in a single product
  • Implemented auth, billing, and dashboard UX for self-serve onboarding
  • Designed independent cloud storage so backups survive primary infrastructure failures

Outcome

Shipped a production backup SaaS from architecture through billing, scheduling, and multi-engine restore — owned product proof of full-stack delivery.

This case study is part of the portfolio of Baqir Naqvi (Senior Full Stack Software Engineer), Full-Stack Software & AI Agent Engineer. For a similar SaaS / DevTools build—architecture review, MVP delivery, or production hardening—see the other indexed projects or start a conversation from the home page contact section.

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