Database Modernization
Modernize the Data Layer Holding You Back.
Move from legacy database dependency to a faster, validated, AI-ready data foundation that reduces licensing pressure and supports future growth.
Start a Database Modernization Discovery Sprint
Your database
should power the business, not trap the budget.
Common executive pain points
Rising licensing costs
SQL Server and legacy database renewals keep compounding, even when workloads do not grow.
Database lock-in
Critical business logic is often trapped inside schemas, stored procedures, and platform-specific dependencies.
Migration risk
Teams hesitate to move because one missed dependency can break reporting, applications, or core business workflows.
Slow assessment cycles
Manual schema reviews, dependency mapping, and conversion planning can take months before migration even begins.
Performance constraints
Legacy database environments can limit scalability, responsiveness, and the ability to support modern workloads.
AI readiness gaps
AI, analytics, and agentic workflows need clean, governed, cloud-ready data foundations to perform reliably.
Sourcefuse modernizes legacy databases into validated, cloud-ready data foundations built for lower cost, stronger control, and future AI use cases.
We deliver
SQL Server to PostgreSQL / Aurora modernization
Move from legacy SQL Server dependency to open-source, cloud-native database foundations designed for scale and flexibility.
Database assessment
Analyze schemas, stored procedures, queries, dependencies, and business logic to create a clear migration roadmap.
Dependency-aware planning
Identify application, reporting, and workflow dependencies before migration to reduce cutover risk.
Deterministic conversion
Convert database logic with structured guardrails, transparency, and human oversight — not black-box automation.
Automated validation
Use functional equivalence testing, data integrity checks, and unit tests to build confidence before production cutover.
Performance optimization
Tune the modernized database layer for scale, responsiveness, and cloud-native performance.
AI-ready data foundation
Prepare the data layer for analytics, GenAI, agentic workflows, and future intelligence use cases.
Business Impact
Lower database TCO
Reduce licensing pressure by moving from legacy database dependency to cloud-native, open-source alternatives.
Faster migration timelines
Accelerate assessment, conversion, and validation with ArcDBMigrate.
Reduced cutover risk
Validate dependencies, business logic, and data integrity before production migration.
Improved platform flexibility
Move away from platform-specific constraints and build a database foundation that can scale with business needs.
Stronger trust in migration outcomes
Use automated validation and human oversight to improve confidence before go-live.
AI-ready data layer
Create a cleaner, more modern foundation for analytics, GenAI, automation, and intelligent workflows.
customer stories
