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Database & Data
Data Migration & Modernization
Data migration and modernization services. We migrate databases between platforms, modernize legacy data systems, and ensure zero data loss throughout the process.
Get Started99.9%
Uptime Achieved
3x-10x
Query Speed Gains
Zero
Data Loss
24/7
Support Available
Service Category
Data Migration Engineering
Ideal For
Companies needing safe database migrations between platforms with zero data loss and minimal downtime.
Timeline
4 – 12 weeks
Why Choose MicrocosmWorks for Data Migration?
Data migrations are high-stakes operations where failure means data loss, downtime, or corruption. We plan and execute migrations with surgical precision — comprehensive testing, parallel running, incremental cutover, and rollback plans at every step. We've migrated databases from 100GB to 10TB without losing a single record.
Our Data Migration Capabilities
- Database Platform Migration — Migrate between database engines (Oracle→PostgreSQL, MySQL→Aurora, SQL Server→Neon) with comprehensive schema and data conversion.
- Cloud Database Migration — Move from on-premises databases to cloud-managed services with minimal downtime and proper security controls.
- Schema Modernization — Restructure legacy schemas into modern designs that support new features, better performance, and simpler maintenance.
- Data Validation Framework — Build comprehensive validation that verifies row counts, checksums, referential integrity, and business rules after migration.
- Zero-Downtime Cutover — Implement dual-write, CDC (Change Data Capture), or logical replication strategies for zero-downtime migration cutover.
- Legacy System Decommission — Plan and execute the safe decommission of legacy databases after migration validation is complete.
Technology Stack
We use AWS DMS for cloud migrations, pgLoader for PostgreSQL migrations, custom ETL scripts for complex transformations, and CDC tools (Debezium, AWS DMS) for real-time replication during cutover. All migrations include automated validation suites and rollback procedures.
Who This Is For
Companies migrating between database platforms, moving to cloud-managed databases, or modernizing legacy data systems. If you need to change databases without risking data loss or extended downtime, our systematic approach ensures safe, validated migration.
Our Process
1
Assessment & Planning
Inventory source data, map schema differences, identify transformation needs, and plan migration phases.
2
Schema Conversion
Convert schemas, adapt data types, transform stored procedures, and validate compatibility.
3
Data Migration
Execute initial data load, set up CDC for ongoing replication, and validate data integrity.
4
Parallel Running
Run both systems in parallel, compare results, validate application behavior, and resolve discrepancies.
5
Cutover & Decommission
Execute final cutover, validate all data, redirect applications, and safely decommission source.
Technology Stack
Migration Tools
AWS DMSpgLoaderDebeziumFlywayCustom ETL
Source Databases
OracleSQL ServerMySQLLegacy Systems
Target Databases
PostgreSQLAuroraNeonMongoDB Atlas
Validation
ChecksumsRow CountsData DiffIntegrity Checks
Industries We Serve
EnterpriseFinancial ServicesHealthcareGovernmentManufacturingRetail
Ready to Migrate Your Database?
Let's plan a safe, validated database migration that protects your data at every step.
Frequently Asked Questions
We use dual-write patterns, change data capture with Debezium, and shadow traffic validation to migrate databases with zero downtime. Data is synchronized continuously until cutover, and we provide rollback plans at every stage.
Data migration projects at MicrocosmWorks are billed at $20-$45/hour. The overall cost depends on data volume, number of source systems, schema complexity, and whether real-time synchronization is required during migration.
Yes, we specialize in migrating on-premise databases to AWS RDS, Azure SQL, Google Cloud SQL, and other managed services, handling schema adaptation, performance tuning for cloud environments, and data validation throughout the process.
We run automated row-count comparisons, checksum validations, referential integrity checks, and application-level smoke tests across all migrated tables. We also perform parallel query validation to ensure results match between source and target systems.
Yes, we have experience migrating data from legacy mainframe systems including COBOL-based applications and hierarchical databases like IMS, converting flat files and VSAM datasets into modern relational or NoSQL databases.