Outgrowing your database?

We migrate between MongoDB, PostgreSQL, and other databases with data integrity guarantees and zero data loss.

Outgrowing your database?

Why teams migrate now

Schema limitations

Query performance degrading

Scaling costs unsustainable

Missing relational features

Our migration approach

01

Audit

We analyze your current database schema, query patterns, data volume, and performance bottlenecks to design the optimal target architecture.

02

Plan

We design the target schema, build automated migration scripts, and create a zero-downtime cutover plan with rollback procedures at every stage.

03

Migrate

We execute the migration with change data capture for real-time sync, validate every record, and cut over with zero downtime and zero data loss.

Migration

What's included

Schema Design

Target database schema optimized for your data model, query patterns, and growth trajectory.

Data Migration

Automated migration scripts with record-level validation and checksums for complete data integrity.

Query Optimization

Rewrite application queries for the target database with optimized execution plans.

Index Strategy

Design and implement indexes tailored to your query patterns for optimal read and write performance.

Backup & Recovery

Comprehensive backup strategy and disaster recovery procedures for your new database.

Zero-Downtime Cutover

Dual-write and change data capture patterns for seamless migration without service interruption.

FAQ

FAQ

Most database migrations take 4-10 weeks depending on data volume, schema complexity, and the number of application queries that need rewriting. We scope each project before work begins.
No. We run automated data validation scripts that compare source and target databases record by record. Every migration includes checksums, rollback plans, and parallel environments.
Yes. We use change data capture and dual-write patterns to keep both databases in sync during the transition, then cut over with zero downtime once validation is complete.
We design the target schema to match your data model and query patterns. For MongoDB to PostgreSQL migrations, we normalize document structures into relational tables optimized for your access patterns.

Still have questions?

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