Developer Desk | One Desk, Infinite Solutions

Database Design, Optimisation and Management

Slow websites are usually slow databases. We design data structures that stay fast as records grow, fix the ones that have already slowed down, move data between systems safely, and make sure your backups actually restore when you need them.

New Delhi, India  |  50+ projects delivered  |  10+ industries served

Database design and management services by Developer Desk
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Projects Delivered
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Happy Clients
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Years of Experience
Database performance analysis
The Problem

The Slowdown Was Built In Long Before You Noticed It

Database problems are almost always the delayed result of a decision that seemed fine at the time. The tables were designed for one feature and never revisited. Relationships were handled in the application code instead of the database, so incomplete and duplicate records collected quietly for months.

Backups are where it gets serious. They are configured, they report success, and nobody has ever restored one. The retention period is shorter than the time it would take to notice a problem. How much data you can afford to lose was never discussed, and that question ends up being answered for the first time during an actual failure.

  • Rules like unique values and required relationships are enforced by the database itself
  • Indexes are added based on what your queries actually do, not on guesswork
  • Reports run separately so a monthly summary never slows down customers
  • Backups are tested by actually restoring them, on a schedule
What We Do

Database Services for New Builds and Existing Systems

Designing it right the first time, or fixing what is already in production without taking it offline.

Database architecture design

Database Architecture Design

Planning tables, relationships, data types, constraints and indexes for a new application, with room to grow built in from the start.

Explore DB architecture
Database optimization

Database Optimisation

Finding why the system slowed down through query analysis and index review, then fixing it with results measured before and after.

Explore DB optimisation
Data migration

Data Migration

Moving data between systems, versions or hosting providers with field mapping, verification and a tested rollback if anything goes wrong.

Explore data migration
Cloud database management

Cloud Database Management

Setting up and running managed databases in the cloud with replication, automated backups, monitoring and sensible capacity planning.

Explore cloud DB
Data cleanup

Data Cleanup and Reconciliation

Finding duplicates, orphaned records and inconsistent values, then correcting them with a report rather than silent changes.

Explore data sync
Backup and recovery

Backup and Recovery Setup

Backup schedules, retention rules, offsite copies and a documented recovery procedure that we test by restoring it properly.

Explore ongoing support
Included as Standard

What Comes With Every Database Engagement

Nothing is applied to a live database without a tested way to undo it.

Included What it means for you
Current state review Your existing structure documented, including what is undocumented today
Performance baseline Current speeds measured so improvements can be proven, not claimed
Slow query report The specific queries causing problems, ranked by impact
Index plan Which indexes to add and which existing ones are slowing writes down
Structure design Tables, relationships and constraints documented with the reasoning
Migration scripts Version-controlled changes with a tested rollback for every one
Backup and recovery Schedule, retention, offsite copies and a restore procedure we actually test
Security review User permissions, encrypted connections and credential handling checked
Monitoring Alerts for slow queries, storage limits, connection spikes and failed backups
Data dictionary Plain-language explanation of every table and field for your team
Handover Documentation, scripts and a runbook covering what to do when something breaks
Database schema documentation

A report you can act on

Findings come with the effort each fix requires, so you can prioritise against budget. If your own team is best placed to apply them, the report is written for that and no further work is needed from us.

How We Work

Measured First, Rehearsed, Then Applied

Six stages, with production changes only ever made against a tested rollback.

01

Review and Baseline

We document the current structure, measure real speeds, check the backups by restoring one and review access rules.

You get: findings report with priorities
02

Planning

The target structure or fix list is defined and ordered by risk, with a rollback written for each change.

You get: change plan and rollback plan
03

Rehearsal

Every change is run on a copy of your real data first, so we know exactly how long it takes and what it locks.

You get: rehearsal results and timing estimate
04

Applying Changes

Changes go to production in a safe order, during a quiet window if needed, with speed measured after each one.

You get: change log and performance comparison
05

Verification

Record counts are checked against the source, constraints confirmed and results compared to the original baseline.

You get: verification and reconciliation report
06

Monitoring and Handover

Alerts are set up, a full restore is tested, and documentation and access are handed to your team.

You get: monitoring, restore test result and runbook
Technology

Relational by Default, Something Else Only With a Reason

For business data with orders, customers, records and relationships between them, a relational database is almost always the right answer. We recommend anything else only when there is a specific reason for it, and we explain that reason in writing rather than following whatever is currently fashionable.

MySQLMariaDBPostgreSQLRedisMongoDBLaravel MigrationsCloud HostingReplicationBackupsMonitoring

Moving data between connected systems is covered under API development and integration.

Database technologies used by Developer Desk
Making the Decision

Designed Structure, Framework Defaults and Bigger Servers

Upgrading the server is the common answer. It is also the most expensive one long term.

Consideration Designed structure Framework defaults Upgrading the server
Data accuracy rules Enforced by the database Left to application code Not addressed
Indexing Based on measured queries Defaults plus reactive additions Not addressed
As records grow Planned for Slows without warning Delayed, not solved
Reports affecting live users Separated Runs on the same database Still competes for resources
Recovery ability Tested by restoring Not addressed Backups exist, restore untested
Cost over time Falls as efficiency improves Rises with each upgrade Rises every time
Best suited to Anything holding real business data Prototypes and small projects A short-term emergency measure

A bigger server buys you time and we sometimes recommend it as an immediate step. It does not fix a structural problem, and you pay for it again every single month.

Industries

Data Work Across Sectors

How long records must be kept and who can see them usually shapes the design more than the data volume does.

eCommerce databases

Retail and eCommerce

Products, variants, orders and seasonal traffic peaks

Logistics databases

Logistics

Shipment histories, status events and high write volume

Education databases

Education

Student records, results and long retention periods

Healthcare databases

Healthcare

Patient records, access logs and controlled visibility

Manufacturing databases

Manufacturing

Inventory, specifications and dealer pricing structures

Financial databases

Finance and Billing

Transaction accuracy, audit trails and reconciliation

Real estate databases

Real Estate

Listings, enquiries and search-heavy filtering

Professional services databases

Professional Services

Client records, billing data and document relationships

Why businesses choose Developer Desk for database work
Why Developer Desk

We Build With Passion, People and Purpose

An application can be rewritten in a few months. The data inside it cannot be recovered from a bad decision made two years ago. That is why we treat the database as the part of the system that deserves the most care and the least guesswork.

  • Client-focused development approach
  • Skilled developers and designers
  • Clear communication and transparency
  • Scalable and secure solutions
  • Focus on performance and usability
  • Long-term support and collaboration
Questions

Frequently Asked Questions

What businesses ask when the system has slowed down or data has gone wrong.

It usually comes down to one of five things: queries running without a supporting index, too many unnecessary indexes slowing down every save, reports running on the same database as live users, records locking each other under load, or a table structure that forces heavy joins for ordinary operations. We identify which one it is by analysing your actual queries rather than guessing.

In most cases yes. Many improvements, particularly indexing and query changes, can be applied while the system stays live. Larger structural changes are rehearsed on a copy of your real data first so we know exactly how long they take, and we schedule those for a quiet window with a rollback ready.

Often a large part of the improvement comes from the database alone through indexing, configuration and query changes. Where the application itself is generating inefficient queries, we document precisely what needs changing so your developers can apply it, or we can make those changes ourselves as agreed scope.

By restoring one, which is the only real test. We restore a backup into a separate environment and confirm the data is complete and usable. A backup job that reports success has not proved anything until someone has recovered from it.

Yes. We handle migration between hosts, versions and cloud providers, usually with little or no downtime by keeping the new location in sync while the old one continues serving traffic, then switching over quickly. Record counts are reconciled before the old system is retired.

For business data with customers, orders and relationships between records, a relational database such as MySQL or PostgreSQL is almost always the better choice. Document databases suit cases where the structure genuinely varies from record to record. Most projects that chose otherwise did so for reasons that did not survive contact with real reporting requirements.

Yes. We identify duplicates, records pointing at things that no longer exist and values that break the rules, then correct them in a controlled way with a report of every change. We do not silently fix records, because a quiet correction hides the cause that will produce the same problem again.

Not always. A useful review can often be done from the structure, query logs and monitoring output alone. Where live access is genuinely needed, we ask for limited permissions for a defined period, under a confidentiality agreement signed before the work begins.

A review is a defined piece of work priced separately from any fixes, so you can get an independent picture before committing to anything larger. The findings come with the effort each fix requires, and you are free to have your own team implement them.

Yes. Monthly support covers monitoring, backup verification and restore testing, capacity planning, version upgrades, index maintenance and response when something goes wrong. Any database holding orders, payments or customer records should have someone accountable for it.

Tell Us What Is Going Wrong

Slow pages, wrong reports, duplicate records, a migration you are nervous about, or backups nobody has ever tested. Describe the symptom and we will review the structure, queries, backups and access, then send a written report with each issue and the effort to fix it.

If your own team can apply the fixes, the report is written so they can.

Related Services

Other Ways We Can Help

Web Development

Custom websites and web applications built on solid data structures.

View web development

CMS Development

Content systems your team can run without developer support.

View CMS development

LMS Development

Learning platforms storing student records and results securely.

View LMS development

API Development and Integration

Moving data reliably between your connected systems.

View API services

Mobile App Development

Android and iOS apps with proper offline data handling.

View app development

Cloud DB Management

Managed cloud databases with replication and monitoring.

View cloud DB