Zero-downtime migration. Zero lost rows.
On-prem to cloud, between clouds, or between platforms. We move your data without losing a single row, breaking a single dashboard, or requiring a single weekend of downtime. Tested, validated, and cut over with confidence.
Data loss incidents across all migrations
Production migrations completed
Average cutover window
Average cost reduction post-migration
What we build
Migration done right.
On-prem to cloud
Full migration from on-premises data centers to AWS, Azure, or GCP. We handle assessment, planning, data transfer, application refactoring, and cutover — with rollback plans at every stage.
Cross-cloud migration
Moving between cloud providers — AWS to Azure, GCP to AWS, or any combination. We migrate workloads, data, and pipelines while maintaining business continuity.
Database modernization
Oracle to PostgreSQL. SQL Server to Snowflake. Legacy warehouses to lakehouse. We handle schema conversion, stored procedure migration, performance tuning, and validation.
Zero-downtime cutover
Dual-write patterns, CDC-based sync, and shadow traffic testing. Your production system keeps running while we validate the target. Cutover is a DNS flip, not a prayer.
Data validation
Row counts, checksums, statistical validation, business rule verification. We prove that every row migrated correctly before cutover. No surprises on Monday morning.
Post-migration optimization
Migration is step one. We optimize for the new platform — right-sizing compute, implementing auto-scaling, setting up monitoring, and tuning for cloud-native performance.
Sound familiar?
Migration problems we solve every quarter.
“We need to get off Oracle but we have 15 years of stored procedures and tribal knowledge.”
We reverse-engineer stored procedures, document business logic, and rewrite for PostgreSQL or Snowflake. Automated testing validates that every query returns identical results. No tribal knowledge lost.
“Our last migration attempt caused 6 hours of downtime and we lost customer trust.”
We use CDC-based replication to keep source and target in sync during migration. Cutover is tested repeatedly in staging. Production cutover takes minutes, not hours — with automated rollback if anything looks wrong.
“We're locked into a $2M/year data warehouse contract and need to migrate before renewal.”
We build a parallel migration plan with aggressive timelines. Phase 1: critical workloads move first (4-6 weeks). Phase 2: everything else (parallel to old contract). You stop paying before renewal.
Tech stack
Tools we use in production.
Ready to build
Let's migrate without the risk.
45 minutes with our migration engineers. We'll assess your current environment, estimate migration complexity, and outline a zero-downtime migration plan with clear timelines and costs.
Data engineering projects we delivered
