Database Modernization
Move from MSSQL, Oracle, or ancient MySQL to Postgres, Supabase, or managed cloud options — with zero data loss and measurable performance gains. We handle schema, data, and query migration as one coordinated project.
On a legacy database
- License costs eating into the margin every year
- Performance problems nobody can diagnose because tooling is thin
- Feature freeze — you can't safely add anything without fear of breaking it
- Backup and recovery strategies held together with duct tape
After modernization
- Managed database with predictable, usage-based pricing
- Modern monitoring — slow query logs, index advisors, one-click EXPLAIN
- Freedom to evolve the schema with migrations and CI-backed changes
- Point-in-time recovery, automated backups, and tested restore procedures
How We Build It
Current-State Audit
We map your existing schema, stored procedures, triggers, jobs, and external dependencies. Nothing gets migrated that we haven't first understood.
Target Schema Design
We redesign the schema for the target database — cleaner naming, proper constraints, types that match the data. You approve before anything moves.
Data & Logic Migration
ETL jobs move the data with row-count verification. Stored procedures and triggers get rewritten into application code or modern equivalents.
Dual-Write Validation
We dual-write to both databases during the transition, comparing results continuously. You only cut over when the numbers match for a full week.
Cutover & Optimization
Final cutover during a maintenance window. After the move, we run an optimization pass — indexing, query tuning, and right-sizing compute.
What You Get
- Target database running in production with all data migrated
- Reconciliation report showing row-count and checksum matches
- Application code updated to use the new connection and drivers
- Schema migration tooling (Prisma, Flyway, or similar) in place
- Backup, recovery, and disaster-recovery procedures documented and tested
- Post-migration performance report with before/after benchmarks
Frequently Asked Questions
What's the risk of losing data during migration?
Functionally zero. We run dual-write validation for a week before cutover, compare checksums on every table, and keep the source database online as a rollback option for 30 days. You cut over only when you see matching numbers.
Can we keep our application running while this happens?
Yes. The target database is populated and syncing live during development. The actual cutover is a short maintenance window — usually under an hour — with everything pre-tested.
Is Postgres really better than MSSQL or Oracle?
For most business workloads, yes — cheaper, faster at common operations, better tooling, and easier to hire for. Big enterprise setups with specialized features sometimes justify sticking, which we'll tell you honestly during the audit.
What about our stored procedures and triggers?
We catalog them, rewrite each into either application code or Postgres equivalents, and verify behavior against test data before cutover. Nothing gets dropped until we've proven the replacement works.