DevOps & Cloud

Your database migration is the most high-risk part of your cloud journey — done wrong, it costs weeks of downtime

We migrate your databases to cloud-managed services with minimal downtime, full data integrity validation, and a tested rollback plan — so your migration doesn't become an incident.

Get Free Database Migration Assessment

The challenges you're facing

Self-managed database servers requiring expensive DBA time for maintenance, patching, and backup management

Previous database migration attempt resulting in data loss, extended downtime, or application incompatibility

Unclear data volume, schema complexity, and application coupling making migration scope impossible to estimate

Low-Risk Database Migration with Validated Data Integrity

We execute database migrations using AWS DMS, Azure Database Migration Service, or custom tooling depending on source and target. Our process includes pre-migration assessment (schema compatibility, data volume, replication lag testing), parallel run (source and target in sync), cutover planning (sub-30-minute cutover windows for most migrations), data integrity validation (row count, checksum, sample data comparison), and a tested rollback procedure executed end-to-end before production migration.

What you get

1

Migration Assessment

Schema analysis, data volume estimation, compatibility gap identification, and migration approach selection.

2

Target Database Setup

Provision and configure target cloud database (RDS, Cloud SQL, Azure Database) with appropriate sizing and configuration.

3

Migration Execution & Parallel Run

Execute initial load and ongoing replication, verify data consistency, and hold parallel run period.

4

Cutover & Validation

Execute cutover during maintenance window with data integrity validation, application testing, and rollback readiness.

Technologies & tools

AWS DMSAWS RDSAzure Database Migration ServicePostgreSQLMySQLMSSQLFlywayLiquibase

Case study — anonymised

Retail Chain — MySQL on self-hosted servers

Before

500GB MySQL database on self-hosted servers. DBA spending 40% of time on patching, backup validation, and performance tuning. RPO: 24 hours (daily backup). RTO: 8+ hours.

After

Migrated to AWS RDS MySQL Multi-AZ. Zero data loss during migration. Cutover window: 18 minutes. Automated backups with 7-day retention. Multi-AZ for 99.95% availability.

DBA maintenance time reduced by 65%, RPO improved from 24h to 5 minutes (automated backups), zero unplanned downtime in 12 months post-migration

Frequently Asked Questions

Common questions from enterprise and mid-market teams across India and internationally.

How do you achieve minimal downtime during database migration?
We use continuous replication-based migration: initial full data load followed by ongoing CDC (Change Data Capture) replication that keeps the target in sync with the source in near real-time. Cutover then requires only: stop application writes, wait for replication lag to reach zero, switch application connection string, validate, and resume. This reduces cutover windows to 5–30 minutes for most databases.
What happens if data corruption occurs during migration?
We run comprehensive data integrity validation before and after migration: row counts per table, checksum comparison on critical tables, sample data comparison, and application-level validation tests. We never decommission the source database until the application has been running on the target successfully for a defined period (typically 48–72 hours).
Can you migrate Oracle or MSSQL to open-source databases (PostgreSQL)?
Yes. Oracle-to-PostgreSQL and MSSQL-to-PostgreSQL migrations are common and cost-effective — eliminating expensive Oracle/SQL Server licences. These migrations require schema conversion (different syntax, data types, stored procedures) which we handle using AWS Schema Conversion Tool (SCT) supplemented by manual conversion for complex objects.
How long does a database migration take?
Initial load time depends on data volume: 100GB typically loads in 2–6 hours, 1TB in 24–72 hours. The parallel run period is 1–4 weeks depending on risk tolerance. Total engagement from assessment to production cutover is typically 4–12 weeks for databases under 1TB, longer for larger or more complex databases.

Ready to get started?

Tell us about your situation and we'll respond with a tailored assessment within one business day.