Mutual NDA and IP assignment on every project

Rows of server racks in a data centre

PostgreSQL Database Development Services

A dependable relational database for data that matters.

PostgreSQL is an open source relational database known for correctness, rich SQL and extensions. It suits products where data must stay consistent. NetOfficials provides PostgreSQL database development services for B2B clients: schema design, queries, migrations, performance tuning and the application code that talks to the database. For data whose shape changes often, see our MongoDB development services.

Engagement models
3
Every project has
A named lead
Signed before details
Mutual NDA
Confirmed in the contract
Your IP
What We Build

What We Build With PostgreSQL

PostgreSQL is a database first, and these are the pieces of work we most often do around it.

  • Schema Design

    Tables, keys and constraints modelled around your business rules so bad data cannot get in.

  • Query and Index Tuning

    Find slow queries, read their plans and add the indexes that actually help.

  • Database Migrations

    Move data from another engine, or between versions, with checks on the result.

  • Reporting Layers

    Views and summary tables so dashboards read quickly without hurting the live system.

  • Search and JSON Data

    Full-text search and JSON columns where a flexible field sits inside a structured model.

  • Multi-Tenant Data Models

    Separate each customer's data in one database using schemas or row-level rules.

Who It Suits

When to Choose PostgreSQL

PostgreSQL is a strong default when your data has relationships and you need to trust it.

  • Software product teams

    A product with structured, related data

    Orders, accounts and permissions all link together, and the database should enforce those links.

    • Constraints that protect data
    • Transactions you can rely on
    • Room to add features later
    SaaS development
  • Teams with a struggling database

    Queries that have become slow

    Pages and reports take longer as the data grows, and nobody is sure why.

    • Plans reviewed query by query
    • Indexes added with evidence
    • Changes tested before release
    Backend developers
  • Businesses reporting on their data

    Analytics beside the live application

    You want reporting without a separate system for every question.

    • Views and aggregates planned
    • Read load kept off the main tables
    • Path to a warehouse if needed
    Data engineering
Database Choice

PostgreSQL or MongoDB?

Both are mature and widely used. The better one depends on how structured your data is and what you ask of it. We recommend an option in discovery after looking at your data.

PostgreSQL is usually the better choice when

  • Your data has clear relationships between records
  • You need multi-row transactions to stay consistent
  • You run complex reports and joins
  • Your rules are best enforced inside the database
PostgreSQL or MongoDB?
ConsiderationPostgreSQLMongoDB
Data modelTables with strict relationshipsFlexible documents
Joins and reportingStrong, with full SQLPossible, but less natural
Changing document shape oftenNeeds migrations, though JSON columns helpFits naturally
Transactions across recordsCore featureSupported, with more care in design
Horizontal scalingNeeds planning, such as partitioning or replicasBuilt around sharding
Best forRelated, business-critical dataVaried, fast-changing documents
Our Process

How We Deliver Your PostgreSQL Database

Every project moves from a written scope to agreed review points, so you always know what is happening and what comes next.

  1. Model the Data

    We map your entities, rules and reporting needs, and agree the schema before building on it.

    Approved schema
  2. Choose Version and Hosting

    We pick the PostgreSQL version, extensions and where it runs, such as a managed service or your own servers.

    Setup agreed
  3. Build and Migrate

    Tables, functions and migration scripts are built in sprints, with sample data loaded early.

    Working database
  4. Tune and Test

    We test queries against realistic volumes and add indexes where the plans show a need.

    Measured performance
  5. Release and Hand Over

    Backups, monitoring hooks and documentation are set up, then the database is handed over with its migration history.

    Operable database
Cost

What Affects the Cost of PostgreSQL Development

PostgreSQL itself carries no licence fee, so cost comes from the work around it. Each of these is confirmed when we write the scope.

  • Data volume and complexity

    More tables, relationships and rules mean more modelling and testing.

  • Source system

    Migrating from another database engine adds mapping and verification work.

  • Performance targets

    Hitting response times under heavy load takes deeper analysis than running at modest scale.

  • Hosting choice

    A managed service, a self-run server and a replicated set-up differ in effort and running cost.

  • Backup and recovery needs

    Stricter recovery goals need more design, testing and monitoring.

  • Extensions and integrations

    Search, geospatial or time-series features add set-up and tests.

Get an Estimate From a Written Scope

Why NetOfficials

Why Build With PostgreSQL and NetOfficials

The working terms below are part of every engagement, not extras.

  • One Cross-Functional Team

    Design, development, testing and DevOps run through a single team, so decisions stay connected.

  • Senior From Day One

    The senior engineer who scopes your work stays involved while it is delivered.

  • You Own Everything

    IP assignment is confirmed in the contract, and you receive the full source code and documentation at handover.

  • Mutual NDA

    We sign a mutual NDA before you share the details of your project.

  • Your Working Hours

    We agree a communication window that suits your time zone at the start.

  • Visible Progress

    Work is tracked in Jira, with a demo and your feedback at the end of every sprint.

Technology Stack

Tools Around PostgreSQL

We recommend technology for your project and your team's future, not for our convenience. Three questions guide every choice.

  • Will it handle your load?

    We size the design for your expected users, data and growth, so it does not need rebuilding when the business grows.

  • Will it fit your systems?

    We check how the stack connects with the tools, databases and partners you already rely on before we commit to it.

  • Can you support it later?

    We favour well-supported technology with a wide talent pool, so your own team or any future partner can maintain it.

Technologies we work with

Engagement Models

Flexible Ways to Work With Us

Pick the model that fits where your project is today. You can move between them as it grows.

  • Project Delivery

    We deliver an agreed scope, timeline and price.

    • Written discovery scope
    • Milestone reviews
    • Best for a clear first release
    Learn More
  • Team Extension

    Specialists who join your existing team, tools and processes.

    • Works in your process and tools
    • Agreed overlap hours
    • Best for adding a missing skill
    Learn More
FAQ

PostgreSQL Database Development FAQs

What is PostgreSQL used for?

It stores the data behind business applications, from web products to internal systems. It is chosen where relationships, accuracy and rich queries matter.

Is PostgreSQL free to use?

Yes, it is open source and has no licence fee. You still pay for hosting, backups, monitoring and the engineering time to design and run it well.

Can you move us from MySQL, SQL Server or Oracle?

Yes. We review the schema and queries first, then plan the move and the checks on the data in a written scope you approve.

Can you fix a slow PostgreSQL database?

Usually we can find the cause by reading query plans, indexes and settings. The fix may be an index, a rewritten query or a change to the data model.

Should we use a managed PostgreSQL service?

A managed service removes much of the server work, while self-hosting gives more control. We compare both against your needs during discovery.

Who owns the database design and scripts?

You do. Schemas, migration scripts and documentation are yours, with ownership of everything written into the contract before work begins.

Ready to Work on Your PostgreSQL Database?

Share a few details. A senior engineer reads every brief and replies with questions and a suggested next step.

  1. We review your briefAnd reply with questions
  2. We sign a mutual NDABefore you share the details
  3. You get a written scopeTeam, timeline and model, before any commitment

Tell us about your PostgreSQL project

We will only use these details to reply to you.