Legacy databases are the hidden bottleneck
You can modernize your application layer, containerize your services and automate your deployments — but if your database is still a 15-year-old SQL Server instance with 2,000 stored procedures, 500 triggers and no documentation, the bottleneck has just moved. Legacy databases accumulate complexity silently: business logic buried in stored procedures, undocumented dependencies between tables, licensing costs that escalate annually and performance that degrades as data volumes grow.
Database modernization is not just a platform migration — it requires understanding every stored procedure, every trigger, every implicit contract between application code and database schema. Done wrong, it breaks everything. Done right, it unlocks performance, reduces costs and makes the rest of your modernization possible.
Analyze & Map
We reverse-engineer the existing database — schema, stored procedures, triggers, views, jobs and dependencies. We map every data flow and identify business logic embedded in the database layer.
Design & Migrate
We design the target schema, migrate data using CDC or ETL, convert stored procedures and validate referential integrity. Parallel operation ensures no data loss.
Optimize & Cutover
Performance tuning, index optimization, query plan analysis and load testing before cutover. Automated validation ensures the new database produces identical results.
What we deliver
Oracle to PostgreSQL, SQL Server to Azure SQL, on-premise to managed cloud databases. We handle schema conversion, stored procedure translation and data migration with zero data loss.
Normalization or denormalization based on access patterns. Restructuring legacy schemas for modern query workloads, partitioning strategies and multi-tenant architectures.
Moving business logic from the database tier to the application tier where it belongs. We refactor stored procedures into service-layer code with proper testing and version control.
Query tuning, index optimization, execution plan analysis and caching strategies. We resolve performance issues that have accumulated over years of organic growth.
Always-on availability groups, read replicas, automatic failover and disaster recovery configurations. Database architectures that meet enterprise RPO and RTO requirements.
Stuck on Oracle Forms, MS Access or an aging SQL Server?
Talk to a database engineer who migrates enterprise data with zero loss.
AgeSA
AgeSA operated critical insurance systems on aging Oracle databases with 1,500+ stored procedures containing core business logic. Licensing costs were escalating and performance was degrading under growing data volumes.
We reverse-engineered every stored procedure, migrated business logic to the application tier, converted the schema to PostgreSQL and executed a zero-downtime cutover using CDC-based synchronization.
Annual database licensing costs reduced by 60%. Query performance improved 3x on critical reporting workloads. Business logic is now version-controlled and testable.
Where we apply it
- Cut database licensing costs 60% by migrating to PostgreSQL
- Consolidate databases across merged business units without downtime
- Move to Azure SQL or Amazon RDS with zero data loss
- Restore fast query performance on degraded legacy databases
- Give each microservice its own database without chaos
Technologies
Microsoft 
AWS 
Red Hat