Database Migration Services — Zero Data Loss, Minimal Downtime
Database migration is the highest-risk component of any cloud move — your data is your business. Opsio migrates Oracle, SQL Server, MySQL, and PostgreSQL to cloud-managed databases with continuous replication, tested rollback, and zero data loss across 1,000+ completed migrations.
Trusted by 100+ organisations across 6 countries · 4.9/5 client rating
0
Data Loss
1000+
DB Migrations
<1h
Cutover
Multi-DB
Expert
What is Database Migration Services?
Database migration service moves databases to cloud-managed platforms with zero downtime using AWS DMS, Azure DMS, and schema conversion tools while preserving data integrity and application compatibility.
Database Migration Without the Risk
Database migration is the highest-risk component of any cloud move because your data is irreplaceable. Extended downtime means lost revenue, data loss means destroyed customer trust, and a failed database migration can set your entire cloud initiative back by months. Organizations need a partner with proven methodology and deep expertise across every major database platform to execute safely.
Opsio specializes in database migration using cloud-native tools: AWS Database Migration Service (DMS), Azure Database Migration Service, and GCP Database Migration Service. We support homogeneous migrations like Oracle to Oracle on RDS and heterogeneous migrations like Oracle to Aurora PostgreSQL, SQL Server to Azure SQL, or MySQL to Cloud SQL — with schema conversion and continuous replication.
Every database migration follows our proven methodology: comprehensive assessment with compatibility analysis, schema conversion with stored procedure translation, continuous replication setup with real-time data validation, performance benchmarking against production baselines, and coordinated cutover with tested rollback procedures — achieving near-zero downtime for even the most critical databases.
Heterogeneous database migration — changing the database engine during migration — delivers significant benefits: Oracle to Aurora PostgreSQL eliminates Oracle licensing costs ($50,000-$500,000+ annually), SQL Server to Cloud SQL reduces licensing overhead, and proprietary database features are replaced with cloud-native equivalents that auto-scale and self-manage.
Common database migration challenges: stored procedures with vendor-specific syntax requiring manual conversion, large databases (1TB+) that take days to replicate initially, applications with hard-coded connection strings and driver dependencies, zero-tolerance for data loss in financial and healthcare systems, and political resistance from DBAs who fear losing their roles.
Evaluating database migration services cost? Assessment runs $3,000-$8,000. Simple homogeneous migration costs $10,000-$25,000. Heterogeneous migration with schema conversion ranges from $15,000-$40,000. Multi-database programs are scoped individually. The ongoing savings from eliminating legacy database licensing typically provide ROI within 6-12 months.
How We Compare
| Capability | DIY Migration | System Integrator | Opsio |
|---|---|---|---|
| Database platforms supported | Primary platform only | 2-3 platforms | All major platforms — Oracle, SQL Server, MySQL, PG |
| Schema conversion depth | Automated tools only | Basic manual fixes | Full — stored procedures, triggers, views |
| Downtime during cutover | Hours to days | 1-4 hours | 15-60 minutes typical |
| Rollback capability | Manual, untested | Documented | Rehearsed + tested before cutover |
| Performance validation | Post-cutover discovery | Basic testing | Full benchmark before cutover |
| Data validation | Row counts only | Sample checks | Checksums + referential + application testing |
| Typical cost (single large DB) | $50K+ (hidden labor) | $30-60K | $15-40K (fixed price) |
What We Deliver
Migration Assessment
Analyze source databases for size, complexity, dependencies, performance requirements, and target platform compatibility. We use AWS Schema Conversion Tool, Azure Data Migration Assistant, and manual analysis to identify conversion challenges and estimate effort with detailed reports per database.
Schema Conversion
Convert database schemas between platforms: Oracle PL/SQL to PostgreSQL PL/pgSQL, SQL Server T-SQL to MySQL, proprietary functions to cloud-native equivalents. We handle stored procedures, triggers, views, materialized views, and platform-specific features that automated tools miss.
Continuous Replication
Set up continuous data replication from source to target using AWS DMS, Azure DMS, or native logical replication. Changes sync in real-time while your source database remains fully operational — enabling thorough testing and validation before the final cutover window.
Performance Validation
Before cutover, we validate query performance against production baselines, verify index effectiveness on the target platform, test application compatibility with realistic workloads, and benchmark throughput to ensure no degradation after migration — preventing post-migration performance surprises.
Coordinated Cutover
Planned cutover with tight maintenance windows: application connection string updates, DNS switching, transaction log synchronization, final data validation, and immediate rollback capability if any threshold is breached. Every step is documented and rehearsed before the actual cutover.
Post-Migration Optimization
Query tuning for the target database engine, index optimization based on actual workload patterns, connection pooling configuration, parameter group tuning, read replica setup for scaling, and monitoring with CloudWatch, Azure Monitor, or Cloud Monitoring for ongoing performance.
Ready to get started?
Get a Free DB AssessmentWhat You Get
“Our AWS migration has been a journey that started many years ago, resulting in the consolidation of all our products and services in the cloud. Opsio, our AWS Migration Partner, has been instrumental in helping us assess, mobilize, and migrate to the platform, and we're incredibly grateful for their support at every step.”
Roxana Diaconescu
CTO, SilverRail Technologies
Investment Overview
Transparent pricing. No hidden fees. Scope-based quotes.
Database Assessment
$3,000–$8,000
Schema analysis + migration plan
Single DB Migration
$10,000–$25,000
Includes schema conversion
Multi-DB Program
$30,000–$80,000
5+ databases, mixed engines
Pricing varies based on scope, complexity, and environment size. Contact us for a tailored quote.
Questions about pricing? Let's discuss your specific requirements.
Get a Custom QuoteWhy Choose Opsio
1,000+ database migrations
Deep experience across every major platform, migration scenario, and complexity level.
Zero-downtime methodology
Continuous replication enables cutover with minimal interruption — typically under 60 minutes.
Heterogeneous expertise
Oracle to Aurora, SQL Server to PostgreSQL, MySQL to Cloud SQL — complex platform changes.
Schema conversion
Stored procedures, functions, triggers, and views converted and validated between platforms.
Performance guaranteed
Benchmarking and validation before cutover — no post-migration surprises.
Rollback tested
Every migration has a rehearsed rollback plan ready to execute instantly.
Not sure yet? Start with a pilot.
Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.
Our Delivery Process
Assessment
Source database analysis, target platform selection, compatibility evaluation, and schema conversion complexity estimation with effort breakdown. Timeline: 1-2 weeks.
Preparation
Schema conversion with stored procedure translation, replication setup, and full test migration execution with data validation and performance benchmarking. Timeline: 2-4 weeks.
Migration
Continuous replication activation, comprehensive performance validation against baselines, and coordinated cutover with tested rollback procedures. Timeline: 1-4 weeks.
Optimization
Query tuning for target engine, index optimization, connection pooling, monitoring setup, and knowledge transfer to your DBA team. Timeline: 1-2 weeks.
Key Takeaways
- Migration Assessment
- Schema Conversion
- Continuous Replication
- Performance Validation
- Coordinated Cutover
Industries We Serve
Enterprise
Large Oracle and SQL Server migrations to managed cloud databases at scale.
SaaS
Multi-tenant database migration with zero customer impact and performance validation.
Financial Services
Transaction-critical database migration with audit compliance and data validation.
Healthcare
HIPAA-compliant database migration with encryption and access control throughout.
Related Insights
Azure Sentinel Managed Service Guide | Opsio
What Is Azure Sentinel Managed Service? Azure Sentinel managed service is a fully operated security information and event management (SIEM) solution where a...
What Is a Managed Service Provider (MSP)? | Opsio
What Does a Managed Service Provider Do? A managed service provider (MSP) is a third-party company that remotely manages a customer's IT infrastructure,...
AWS Pricing Guide 2026: Services & Costs | Opsio
How Does AWS Pricing Work? AWS uses a pay-as-you-go pricing model where you pay only for the compute, storage, networking, and services you actually consume,...
Related Services
Database Migration Services — Zero Data Loss, Minimal Downtime FAQ
Can you migrate Oracle to PostgreSQL?
Yes. Oracle to Aurora PostgreSQL (or Cloud SQL PostgreSQL) is one of our most common database migration engagements. We use AWS Schema Conversion Tool or ora2pg for schema conversion, then AWS DMS or native logical replication for continuous data replication. We convert PL/SQL stored procedures, functions, triggers, sequences, and materialized views to PostgreSQL equivalents with thorough testing. Organizations typically save $50,000-$500,000 annually in Oracle licensing costs after migration, making this one of the highest-ROI database modernization paths available.
How long does database migration take?
Small databases under 100GB: 2-3 weeks. Medium databases between 100GB and 1TB: 3-6 weeks. Large databases over 1TB: 6-10 weeks. Very large databases over 5TB: 8-16 weeks. Timeline includes assessment, schema conversion, replication setup, performance validation, and coordinated cutover — not just the data transfer portion of the migration. We provide detailed project plans after assessment with milestone-level granularity, and initial data synchronization runs in parallel with schema conversion work to maximize timeline efficiency.
Will there be downtime during migration?
We achieve near-zero downtime using continuous replication that keeps source and target synchronized in real-time. The actual cutover window — when we switch application connections from source to target — is typically 15-60 minutes depending on database size and transaction volume. Applications experience a brief maintenance window, not extended downtime. Before the actual cutover, we conduct multiple test cutovers that validate the entire process end-to-end, measure actual switchover timing, and verify application functionality so the final cutover is a well-rehearsed procedure.
How much does database migration cost?
Assessment: $3,000-$8,000. Simple homogeneous migration (same engine): $10,000-$25,000. Heterogeneous migration with schema conversion (e.g., Oracle to Aurora): $15,000-$40,000. Multi-database programs with different platforms: scoped after assessment. We provide fixed-price quotes with detailed scope and timeline after evaluation. For heterogeneous migrations that eliminate proprietary database licensing, the ongoing savings typically recover the entire migration investment within six to twelve months, making it one of the most financially compelling infrastructure modernization investments.
What database platforms do you support?
Source platforms: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, MariaDB, and DB2. Target platforms: AWS Aurora, RDS, DynamoDB; Azure SQL Database, SQL Managed Instance, Cosmos DB; Google Cloud SQL, AlloyDB, Spanner. We handle both homogeneous (same engine) and heterogeneous (different engine) migrations across any combination. Our platform breadth means we can recommend the optimal target database based on your access patterns, performance requirements, and cost objectives rather than being limited to a single cloud provider's offerings.
How do you handle stored procedure conversion?
Stored procedure conversion is the most complex part of heterogeneous migration. We use automated tools (AWS SCT, ora2pg) for initial conversion, then manually review and fix incompatible constructs. Oracle-specific features like packages, autonomous transactions, and bulk collect require manual PostgreSQL equivalents. Every converted procedure is unit-tested against expected results. We maintain a library of conversion patterns from hundreds of previous migrations that accelerates the process and reduces risk, as most Oracle-to-PostgreSQL conversion challenges follow well-documented patterns we have solved before.
What if the migration fails?
Every migration has a tested rollback plan. During continuous replication, the source database remains unchanged and fully operational. If cutover validation fails — wrong row counts, performance degradation, application errors — we execute rollback within the cutover window, reverting to the source database with zero data loss. We define rollback criteria upfront and rehearse the rollback procedure during test migrations. Because the source database remains untouched until final confirmation, rollback is simply a matter of redirecting application connections back to the original system.
Can you migrate to DynamoDB or Cosmos DB?
Yes. We migrate relational databases to NoSQL platforms when the access patterns justify it. This requires data model redesign — transforming normalized relational schemas into denormalized key-value or document models optimized for the target platform's query patterns. We assess whether NoSQL migration makes sense during the assessment phase by analyzing your actual query patterns and access frequencies. Not every relational database benefits from NoSQL migration, so we provide honest recommendations based on data rather than technology trends.
How do you validate data integrity after migration?
We validate data integrity at multiple stages: row count comparison per table, checksum validation for critical tables, sample data comparison for complex data types, referential integrity verification, and application-level testing with realistic workloads. Validation runs during test migrations and again during the actual cutover before we confirm the migration as complete. For financial and healthcare databases where data accuracy is critical, we implement additional validation layers including transaction-level reconciliation and audit trail verification to meet regulatory requirements.
Do you provide ongoing database management after migration?
Yes. We offer managed database services after migration — performance monitoring, query optimization, backup management, version upgrades, failover testing, and capacity planning. The same team that migrated your databases manages them, providing deep knowledge of your schema, query patterns, and application requirements. Ongoing management ensures your databases stay optimized as data volumes grow and query patterns evolve, preventing the performance degradation that commonly occurs when migrated databases are left unmanaged after the initial migration project completes.
Still have questions? Our team is ready to help.
Get a Free DB AssessmentReady to Migrate Your Databases?
Zero data loss, minimal downtime. Get a free database migration assessment.
Database Migration Services — Zero Data Loss, Minimal Downtime
Free consultation