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Legacy Modernization · Zero-Downtime Legacy Database Migration

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.
Trusted by enterprises worldwideCMMi Level 3ISO 27001SOC 220+ Years
Why MetaDesign

Risk-free enterprise data migration.

We treat your historical data with the extreme care it deserves.

01

Dual-Write Architecture

We implement the Strangler Fig pattern, where new transactions are written to both the legacy and modern databases simultaneously until the new system is fully proven.

02

AI-Assisted Schema Mapping

AI helps map convoluted, undocumented legacy database tables (like flat files or old ISAM databases) into clean, normalized relational schemas (PostgreSQL/SQL Server).

03

Byte-Level Validation

Automated reconciliation scripts compare the source and destination data continuously to guarantee 100% accuracy before the legacy system is decommissioned.

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

Five stages, paired end-to-end.

Predictable delivery. No black-box sprints.

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.

Technology

Tools our zero-downtime legacy database migration developers ship with.

We use what works. No vendor lock-in.

PostgreSQLSQL ServerMongoDBPythonPandasApache AirflowAWS DMSAzure Data FactoryRedisKafkaEvent Streaming
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.

Scale up, scale down — zero procurement headaches.

Fixed-scope project

Start-to-finish delivery with total cost, timeline, and scope agreed upfront. Best for well-defined builds and launches.

BEST FORNew product launches

Dedicated team

A ring-fenced squad — PM, tech lead, engineers, QA — fully managed by us, embedded in your workflow.

BEST FORLong-running platforms

Staff augmentation

Plug senior engineers into your existing team and tools. You manage priorities, we deliver results.

BEST FORCapacity gaps & sprints
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.

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