Platform independence
Evaluate an open-source target against the cost of application changes, operational skills and long-term maintenance. A licensing decision needs an engineering case.
DATABASE MIGRATION & MODERNIZATION
Modernize your database.Control the transition.
Database migration is a business-critical transition. ST Data Migra brings assessment, engineering and validation into one migration plan from legacy platforms to the next operating environment.
Database platforms
Oracle Database
Microsoft SQL Server
PostgreSQL
MySQL
THE BUSINESS CASE
Modernization starts with the right decisions.
A change of database platform affects application behavior, operating costs and service continuity. Assess these together before committing to a target architecture or migration schedule.
Infrastructure renewal
Address aging versions and capacity constraints with a migration plan that accounts for integrations, scheduled jobs and recovery requirements.
Cloud readiness
Compare managed and self-managed deployment models against control, connectivity, resilience and the cost of running the workload.
A migration strategy for your next move.
Whether you are replacing a legacy engine, upgrading infrastructure or moving to the cloud, the right approach starts with application dependencies and business constraints.
Database migration
Move critical databases with a defined path for compatibility, data reconciliation and controlled production cutover.
View scope and deliverablesOracle to PostgreSQL
Evaluate a PostgreSQL target with a clear view of Oracle dependencies, code conversion effort and application behavior.
View scope and deliverablesSQL Server migration
Upgrade or relocate SQL Server workloads with compatibility assessment, dependency coverage and performance validation.
View scope and deliverablesCloud migration
Design a cloud database transition around workload fit, connectivity, recovery requirements and operating responsibility.
View scope and deliverablesSERVICE PACKAGES
The right scope for your next step.
Start with an assessment, upgrade an existing platform or plan a complete migration. Our sales team helps define the scope and quotation around your environment.
Database Assessment & Health Check
Understand your current environment before committing to change.
Review performance, security risks and compatibility. Establish priorities and a roadmap for upgrade or migration.
Discuss this packageIndicative timeline1 to 2 weeks
Database Upgrade
Modernize the version while retaining the database platform.
Plan the upgrade, validate application compatibility and tune configuration, with backup, recovery and basic post-deployment support.
Discuss this packageIndicative timeline2 to 6 weeks
Database Migration & Modernization
Move to a new database engine or cloud environment.
Convert schema, data and database code, validate the target and prepare rollback. Includes extended support after transition.
Discuss this packageIndicative timeline4 to 12 weeks
Enterprise Mission-Critical Migration
Manage a transition with demanding availability requirements.
Plan data synchronization, downtime reduction, comprehensive validation and post-migration support against an agreed SLA.
Discuss this packageIndicative timelineDefined by complexity and SLA requirements
Timelines are planning estimates, not delivery commitments. Scope, downtime requirements and post-migration support are agreed for each project. Pricing is provided by our sales team after reviewing your requirements.
Explore technical scope
MIGRATION APPROACH
Evidence at every decision point.
A migration plan needs explicit entry and exit criteria. Each phase builds the evidence needed to authorize the next, with technical and business owners aligned before production changes.
Discover & assess
Map databases, integrations and business-critical transactions. Establish compatibility risks, a performance baseline and the permitted interruption window.
DeliverableDependency inventory, risk register and acceptance criteria
Engineer & rehearse
Prepare the target and migration scripts. Rehearse schema conversion and data movement in a representative environment; record duration and exceptions.
DeliverableTarget design, repeatable migration procedure and rehearsal findings
Validate & cut over
Reconcile source and target, test critical application journeys and review performance. Confirm go/no-go authority, rollback triggers and the change window.
DeliverableValidation evidence, approved cutover runbook and recovery procedure
Stabilize & transfer
Monitor the agreed operating indicators after transition. Resolve exceptions and transfer configuration, recovery procedures and support responsibilities.
DeliverableOperational runbook, issue register and handover acceptance
Production readiness is demonstrated.
Agree on the evidence required to accept the target environment. The depth of testing follows the workload, its criticality and the approved project scope.
Data integrity
Reconcile record counts, selected values and business totals at an agreed consistency point. Track discrepancies to resolution rather than treating a completed transfer as acceptance.
Application performance
Compare representative transactions and batch jobs with the source baseline. Evaluate response time, throughput and concurrency against agreed thresholds.
Operational recovery
Review backup, restore, monitoring and access controls. Define how failures are detected, who can authorize recovery and when the rollback window closes.
ACCEPTANCE FRAMEWORK
What a go/no-go decision should be based on.
| Control area | Evidence for review |
|---|---|
| Compatibility | Resolved conversion exceptions and application regression results. |
| Data reconciliation | Source-to-target checks, exception ownership and resolution status. |
| Service performance | Workload measurements compared with the approved baseline. |
| Cutover & recovery | Rehearsed sequence, responsibilities, decision points and rollback conditions. |
Questions before you commit.
Which databases does ST Data Migra work with?
Our core platforms are Oracle Database, Microsoft SQL Server, PostgreSQL and MySQL. Assessment establishes the versions, workloads and migration scope for each project.
Can a migration be completed with zero downtime?
Downtime depends on the source and target, data volume, change rate and application constraints. The migration plan should define an acceptable downtime window, RPO, RTO and rollback criteria. We do not make a blanket zero-downtime promise.
How is migrated data validated?
Define reconciliation at a consistent point in time: row counts, selected values, aggregates and business-critical records. Record exceptions and their resolution. Application regression and workload performance are reviewed separately; data accuracy alone does not establish production readiness.
Where does AI fit into the process?
AI-assisted assessment, documentation, SQL analysis and validation can support engineering work. Engineers review the outputs; AI does not replace testing or approval.
What information is useful before an assessment?
A database inventory, versions, approximate data volumes, dependencies, target requirements and downtime constraints provide a useful starting point. Do not share production credentials or sensitive data in an initial enquiry.
What determines the migration effort and timeline?
Data volume is only one factor. Engine compatibility, stored code, integration dependencies, change rate, test coverage and the allowed cutover window affect migration effort. An assessment identifies these constraints before a schedule or commercial scope is agreed.
Define the migration before committing to the move.
Start with the source platforms, application dependencies and operating constraints. Use the assessment to establish a defensible scope, target architecture and acceptance plan.
Talk to an expertContact
Let's plan your database transition.
Tell us about your current environment and priorities. Our team will review your requirements and discuss the right scope before preparing a quotation.