Move Your Data, Not Your Problems
Database migration is a critical undertaking—whether you're moving to the cloud, upgrading versions, or switching database platforms. Get it right, and you unlock performance, scalability, and cost savings. Get it wrong, and you risk downtime and data loss.
With over 200 successful database migrations, we've mastered the art of moving data safely and efficiently. From Oracle to PostgreSQL, SQL Server to MySQL, or any other combination, we ensure zero data loss, minimal downtime, and full application compatibility.
200+
Database MigrationsZero
Data Loss50+
Database Platforms99%
Faster Migrations
Database Migration Capabilities
Comprehensive solutions for every database journey
Heterogeneous Migration
Move between different database platforms—Oracle to PostgreSQL, SQL Server to MySQL, and more—with schema conversion and data transformation.
- Oracle to PostgreSQL
- SQL Server to MySQL
- DB2 to Oracle
- Sybase to Azure SQL
Cloud Database Migration
Migrate on-premises databases to AWS RDS, Azure SQL Database, Google Cloud SQL, or cloud-native databases.
- On-prem to Cloud RDS
- Database to Cloud-Native
- Hybrid Deployments
- Managed Services
Version Upgrades
Upgrade your database to the latest version within the same platform, with minimal downtime and full compatibility testing.
- SQL Server Upgrade
- Oracle Upgrade
- PostgreSQL Upgrade
- MySQL Upgrade
Schema Conversion
Automated and manual schema conversion to ensure all database objects—tables, views, stored procedures, triggers—work in the target platform.
- Data Type Mapping
- Stored Procedure Conversion
- Constraint Migration
- Index Optimization
Zero-Downtime Migration
Keep your applications running during migration with change data capture (CDC), replication, and phased cutover strategies.
- Live Data Sync
- Incremental Replication
- Blue-Green Cutover
- Rollback Capability
Validation & Testing
Comprehensive testing to ensure data integrity, performance, and application compatibility post-migration.
- Data Reconciliation
- Performance Benchmarking
- Application Testing
- Security Validation
Common Database Migration Paths
We've done them all—successfully
Oracle ➔ PostgreSQL
50+ migrations, including complex PL/SQL conversions
SQL Server ➔ MySQL
30+ migrations, T-SQL to MySQL stored procedures
Oracle ➔ AWS Aurora
Cloud-native migration with minimal downtime
SQL Server ➔ Azure SQL
Lift-and-shift and modernization options
DB2 ➔ Oracle
Complex mainframe to open systems migrations
MySQL ➔ MariaDB
Drop-in replacements and optimization
MongoDB ➔ DocumentDB
NoSQL migrations to cloud-managed services
Cassandra ➔ DynamoDB
Large-scale NoSQL migrations
Database Migration Challenges We Solve
Turning complexity into success
Database migrations are fraught with risks. Our expertise ensures we navigate them smoothly.
Data Type Incompatibility
We map data types correctly between systems, preserving precision and preventing truncation.
Stored Procedure Conversion
We convert complex business logic, handling proprietary SQL dialects and functions.
Minimizing Downtime
We use replication and CDC to keep systems live during migration.
Data Integrity
Row counts, checksums, and reconciliation ensure no data loss.
Performance Degradation
We optimize indexes, queries, and configurations for the target platform.
Security & Compliance
We preserve permissions, encryption, and compliance post-migration.
Our Database Migration Process
Proven methodology for successful migrations
We follow a structured, risk-mitigated approach that has delivered 200+ successful migrations.
Assessment & Discovery
We analyze source databases, assess dependencies, identify compatibility issues, and estimate effort. We also review application code for database interactions.
Strategy & Planning
We define the migration approach (big bang, phased, parallel), select tools, create a detailed project plan, and define success criteria.
Schema Conversion
We convert database schemas—tables, views, indexes, constraints, stored procedures—using automated tools and manual refinement.
Data Migration
We migrate data in phases, with validation at each step. For large databases, we use parallel processing and compression.
Validation & Testing
We reconcile data, test application functionality, benchmark performance, and validate security and compliance.
Cutover & Optimization
We execute cutover, monitor performance, optimize queries, and decommission source databases after successful validation.
Success Stories
Real results from our database migration projects
Oracle to PostgreSQL Migration
Migrated a 10TB core banking database from Oracle Exadata to PostgreSQL on AWS, saving $2M annually in licensing costs.
SQL Server to AWS Aurora
Migrated a 5TB e-commerce database from SQL Server to Amazon Aurora MySQL, reducing latency by 60% and scaling for peak traffic.
DB2 to Oracle Modernization
Migrated 20+ critical insurance applications from mainframe DB2 to Oracle, preserving 20+ years of business logic.
Tools & Technologies
Industry-leading database migration tools
AWS DMS
Azure DMS
Google DMS
GoldenGate
AWS SCT
SQL Server MA
SQL Developer
pgloader
Debezium
Striim
Fivetran
DataStax
Ready to Move Your Database?
Let's discuss how our proven database migration methodology can help you modernize with confidence and zero downtime.
Frequently Asked Questions
Common questions about database migration
Database migration is the process of moving data and database objects (tables, views, stored procedures) from one database platform or version to another. This can be homogeneous (same platform) or heterogeneous (different platforms).
Timelines depend on data volume, complexity, and the platforms involved. Small databases (GBs) can take weeks, while large enterprise databases (TBs) may take months. We provide detailed timelines during assessment.
Yes, we specialize in zero-downtime migrations using change data capture (CDC) and replication. We sync changes continuously and perform a brief cutover window.
We convert stored procedures, functions, and triggers to the target platform's language (e.g., PL/SQL to PL/pgSQL, T-SQL to MySQL). We use automated tools and manual refinement to preserve all business logic.
We use multiple validation methods: row counts, checksums, sample data comparisons, and reconciliation reports. We also test application functionality thoroughly.
Costs vary based on complexity, data volume, and chosen approach. We provide detailed estimates after assessment. Most clients see ROI within 12-18 months through licensing and infrastructure savings.