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Database Engineering / Database Migration

Database Migration

Database migrations stall because the risk feels too high — data loss, long downtime, and an application that breaks after cutover. We plan and run migrations between engines, versions, and providers with validation at every step and a tested rollback path.

This Is For You If...

  • You need to move from one database engine to another, such as MySQL to PostgreSQL

  • Your database version is reaching end of life and needs a major upgrade

  • You're moving from self-hosted to a managed service, or between cloud providers

  • You need large schema changes on a live database without taking the product offline



Which Type of Migration Is It?

Ask Yourself

Points Toward

Are you changing database engines?

Engine Migration

Are you upgrading a major version?

Version Upgrade

Are you changing where the database runs?

Cloud & Hosting Migration

Are you restructuring a live schema?

Zero-Downtime Schema Changes



Database Migration Services We Offer

Engine Migration

Converting schema, data types, stored procedures, and queries between engines, with the application changes needed to match.

Version Upgrade

Major version upgrades tested against your workload, with compatibility issues found before production.

Cloud & Hosting Migration

Moves to Amazon RDS, Aurora, Cloud SQL, Azure SQL, or Supabase using replication-based cutover where possible.

Zero-Downtime Schema Changes

Expand-and-contract changes, backfills, and online schema tools so large changes don't lock tables.



What We Need From You

What to Share

Why It Helps

Source and target database details

Defines the conversion work

Database size and change rate

Determines cutover approach and timing

Acceptable downtime window

Decides between replication and dump-and-restore

Applications that connect to the database

Every one needs testing after cutover



Common Mistakes to Avoid

Instinct

Why It Doesn't Help

Do This Instead

Treating migration as a data copy

Queries, types, and behavior differ between engines

Test the application against the new database

Skipping data validation

Silent data loss is found weeks later

Validate row counts and checksums before cutover

Cutting over with no rollback

A late problem becomes an outage

Keep a tested path back until the new database is proven

Migrating during peak traffic

Raises risk and user impact

Schedule cutover with a rehearsed runbook



How It Works

1. Assess

We inventory schema, data, and dependent applications

2. Plan

We choose the migration method and write the runbook

3. Rehearse

We run the migration on a copy and fix what breaks

4. Cut over

We migrate with validation checks and a rollback path

5. Stabilize

We monitor and tune the new database after cutover



Why Codersarts

We treat migrations as engineering projects, not file transfers — rehearsed, validated, and reversible. Your team gets a runbook and a clear record of every change.



Turnaround Time

A migration assessment and plan is typically ready within a week. The migration itself is scheduled around your size, complexity, and downtime window.



FAQ

Can the migration be zero-downtime?

Often near-zero, using replication and staged cutover. We confirm what's achievable first.

How does this relate to wider modernization?

For whole-application moves, see Migration Engineering.

Do you migrate stored procedures and triggers?

Yes, converting them or moving the logic into the application where that's cleaner.

Is our project kept confidential?

Yes. Your data, code, and results stay confidential, and an NDA is available on request.



Related Services



Planning a Database Move?

Get a rehearsed, validated migration with a way back.

Plan Your Database Migration →

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