Manufacturing Enterprise
Cloud-sync
enabled
Data
normalized
Legacy Modernization · Zero-Downtime Legacy Database Migration
Phased migration with dual-run pipelines — no downtime, no data loss.
Data migration is the highest-risk phase of any modernization project. We eliminate that risk with automated ETL pipelines that extract, transform, and load your historical data with byte-level validation.
Schema redesign
ETL pipeline development
Dual-write synchronization
Data cleansing
Cutover planning
Zero
Data lost
Strict byte-level validation ensures absolute data integrity.
100%
Uptime
Dual-write operations ensure your business never stops during the cutover.
Automated
ETL Pipelines
Safe extraction from legacy schemas to modern relational/NoSQL structures.
Phased
Rollout
Transition departments one by one, mitigating enterprise risk.
Why MetaDesign
Risk-free enterprise data migration.
We treat your historical data with the extreme care it deserves.
Teams shipping with MetaDesign
Selected work
Case studies.
EXTRACT.
TRANSFORM.
VALIDATE.
MIGRATE.
Flat File to SQL
Migrating decades of Mainframe VSAM or flat files to modern PostgreSQL databases.
On-Prem to Cloud
Lifting local SQL Server/Oracle databases into AWS RDS or Azure SQL.
Schema Normalization
Cleaning up and normalizing massive, undocumented legacy tables into efficient relational models.
Monolith to Micro-Databases
Splitting a massive monolithic database into dedicated databases per microservice.
Our Approach
Zero-Downtime Legacy Database Migration: Our Proven Process
01
Audit Schema
Analyze the legacy database structure, constraints, and stored procedures.
02
Design Target
Design the new, normalized cloud database schema.
03
Build ETL
Develop automated Extract, Transform, and Load pipelines.
04
Dual-Run
Sync data in real-time between the old and new systems for parallel testing.
05
Decommission
Once validated, sever the tie to the legacy database and run purely on the new cloud database.
01
Audit Schema
Analyze the legacy database structure, constraints, and stored procedures.
02
Design Target
Design the new, normalized cloud database schema.
03
Build ETL
Develop automated Extract, Transform, and Load pipelines.
04
Dual-Run
Sync data in real-time between the old and new systems for parallel testing.
05
Decommission
Once validated, sever the tie to the legacy database and run purely on the new cloud database.
Customer Value
The value of a modern schema
Unlock the power of your data.
Query Performance
Normalized, indexed cloud databases return complex queries in milliseconds.
Advanced Analytics
A modern schema allows for direct integration with modern BI tools like Tableau and PowerBI.
Enhanced Security
Utilize modern database encryption (at rest and in transit) and fine-grained access controls.
Reduced operational cost
Automation that pays for itself within the first quarter.
Production-grade reliability
Guardrails, monitoring, and fallback logic built into every AI system.
Knowledge transfer
Your team learns to maintain and extend AI systems independently.
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
Engagement models
Three ways to work with our Zero-Downtime Legacy Database Migration team.
Pick the shape that matches your risk and timeline. We will tell you which one is wrong for your situation — even if it’s the bigger one.
Zero-Downtime Legacy Database Migration Pod
A dedicated squad of senior engineers, tech leads, and QA delivering milestone-driven results with weekly demos and eval-gated merges.
- Dedicated engineering squad
- Weekly sprint demos
- Fixed monthly cadence
- Direct technical lead communication
BEST FOR
Build with a PodDedicated engineering squad
Hire Zero-Downtime Legacy Database Migration Engineers
Senior specialized engineers embedded into your existing team within two weeks. Your stack, your tools, your standups.
- 2-week onboarding ramp
- Time-zone aligned collaboration
- Direct Git & Jira integration
- Flexible monthly contracts
BEST FOR
Request Talent2-week onboarding ramp
Turnkey / MVP Build
Go from requirements to production-ready launch in 6–10 weeks with fixed scope, upfront pricing, and guaranteed delivery.
- Fixed-price & fixed-scope
- End-to-end architecture & build
- Complete source code ownership
- Post-launch warranty & support
BEST FOR
Start Your BuildFixed-price & fixed-scope
FAQ
Asked first, every time.
Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.
No. By utilizing dual-write patterns and event streaming, both systems run in parallel. When you are ready, the cutover is instantaneous with zero operational downtime.
That is common. Our AI analysis tools and senior database architects will profile the data, identify foreign key relationships (even if not strictly enforced in the database), and map the schema.
Yes. The "Transform" step of the ETL pipeline is the perfect time to cleanse data, remove duplicates, and enforce new formatting standards before inserting it into the new database.
We write automated reconciliation scripts that run checksums and row-by-row comparisons between the legacy source and the modern destination.
Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.