Modernization

Modernize without the big-bang rewrite.

We migrate the databases and applications everyone is afraid to touch — SQL Server and Oracle to PostgreSQL, monoliths to modern platforms — with compatibility analysis up front, rehearsed cutovers, and tested rollbacks. No surprise weekends.

3 wks Database Migration Assessment: inventory, compatibility, effort, cutover plan

2 paths flagship migration guides: SQL Server → PostgreSQL, Oracle → PostgreSQL

0 unrehearsed cutovers — every migration is dry-run before production

Assessment first, always — the cutover plan is written before migration code.

What we do

Modernization offerings

SQL Server → PostgreSQL

Escape licensing gravity: a systematic migration of schemas, T-SQL, SSIS/SSRS estates, and application connections — with parity testing at every step.

Automated conversion plus manual rewrite where it matters (procedures, edge cases)
SSIS/SSRS rationalization: migrate, replace, or retire each workload deliberately
Application connection migration with feature-flagged cutover

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Oracle → PostgreSQL

Oracle estates carry the heaviest procedural logic — PL/SQL, packages, proprietary types. We inventory all of it and convert with discipline.

PL/SQL package-by-package conversion plan with complexity scoring
Proprietary feature mapping: sequences, partitioning, RAC behaviors
License-exit sequencing so savings fund the migration

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Application Modernization

Strangler-pattern renewal: carve the monolith at its seams, re-platform onto containers and managed services, retire the old code deliberately.

Domain-bounded carving — new services at natural seams, not random splits
Re-platforming onto containers, serverless, and managed data services
Dual-run periods with traffic shadowing before any retirement

Scope a modernization →

Database Migration Assessment — 3 weeks

Know the true cost before you commit: a fixed-scope assessment that turns "we should probably migrate" into a priced, sequenced plan.

Full schema, code, and job inventory with compatibility scoring
Effort model by workstream — convert, rewrite, redesign, retire
Cutover and rollback strategy matched to your downtime tolerance

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Engagement models

How modernization engages

Model	Format	Best for
Migration assessment	3 weeks, fixed scope	Pricing and de-risking the move before committing
Migration factory	Phased, fixed-scope waves	Executing the migration wave by wave with validation gates
Modernization program	Quarterly roadmap	Application + database renewal as a sustained program

FAQ

Modernization, answered

It depends on schema complexity, procedural code, and application coupling — which is exactly what our 3-week Database Migration Assessment quantifies. Simple estates move in weeks; complex ones are phased over quarters with zero-downtime cutover techniques.

That's where migrations die or succeed. We inventory every procedure, function, and proprietary construct, classify each as auto-convertible, rewritable, or redesign-required, and price the effort honestly before anyone commits.

For most OLTP workloads, yes: change-data-capture replication keeps source and target in sync, we validate row-for-row, then cut over with a short, planned window — rehearsed in advance, with a tested rollback.

No — application modernization too: strangler-pattern rewrites, monolith decomposition, and re-platforming onto containers and managed services. The database is usually the critical path, so we lead with it.

Three weeks: full schema and code inventory, compatibility analysis, effort model by workstream, risk register, and a cutover plan with rehearsal and rollback strategy. Request it here.

Start here

Know the true cost of your migration before you commit.

Three weeks, fixed scope: inventory, compatibility, effort model, cutover plan. Then decide with evidence.

Request the Assessment Read the Guide