PostgreSQL development

PostgreSQL development services for a data layer you can trust

Our PostgreSQL development services give you a correctly modelled database that holds up under real load and can be handed to the team that will own it. Netofficials covers schema design, query tuning, migrations and API-connected data layers in one cross-functional team. Send a short brief to start.

Illustration of a layered technology stack
Delivery
One cross-functional team covers back-end, front-end, QA and DevOps, so your PostgreSQL schema and the application around it are built together.
Contact
A named delivery lead owns day-to-day progress and answers your questions, while a technical architect is accountable for database design and code quality.
Ownership
Your contract confirms IP assignment before the build begins, so the schema, migrations and queries we write are yours.
Reviews
Each sprint ends with a client-facing review, so you see database changes working before the next sprint starts.
What we build

A PostgreSQL data layer you can build on and hand over

Schema design for your domain

We model your entities, relationships and constraints around how your product actually behaves. That covers keys, indexes, data types and migration scripts that live in version control. You get a schema your team can read and extend, which removes much of the rework that comes from a rushed first model.

Query and performance tuning

Slow pages and reports usually trace back to a handful of queries. We read query plans, add the right indexes, restructure heavy joins and check results against realistic data volumes. You get specific fixes and a clear explanation of what changed, so performance improves without a rewrite of your application.

Migrations and API-connected data

We plan moves from another database or an older PostgreSQL version in stages, with rehearsal runs and rollback steps agreed in advance. We also connect the database to your Node.js or Python services so the API and data layer are designed together. The same cross-functional team covers back-end, QA and DevOps, so nothing falls between handoffs.

Choose with context

Is PostgreSQL the right fit for your build?

ConsiderationPostgreSQL suits bestWe would recommend another approach when
Data shapeRelational data with clear entities, constraints and reporting needs, plus JSON fields where parts of the record vary. Suits transactional products, portals and data-heavy business applications.Your data is mostly unstructured documents or simple key-value lookups with few relationships; after scoping, we will say if a different store would serve you better.
Team and existing stackYou are starting a new build, or your team works with SQL and wants a database that fits Node.js, Python or TypeScript back ends.Your team already runs and supports another database well and a switch would add risk without benefit; we will recommend keeping it after scoping.
Workload and growthA relational data layer behind your APIs, where transactions, joins, constraints and reporting queries matter and JSON columns can hold the flexible parts.Your workload is mainly key-value, wide-column or document storage with little relational structure. Netofficials will recommend a better-suited data store after scoping.
How an engagement runs

From written scope to a PostgreSQL release you can run

  1. Discovery

    We map your data entities, access patterns, existing databases and expected load into a written discovery scope for the first release.

    You receive
    • Written scope for the data model and first release
    • Open questions on data volumes and integrations
    • Initial estimate with stated assumptions

    You agree the data scope before design begins

  2. Design

    Our technical architect presents the schema, indexing approach, migration plan and API contracts for you to review before any development starts.

    You receive
    • Draft schema and entity model
    • Indexing plan for your key queries
    • Architecture notes on hosting and migration

    You sign off the data model before development

  3. Build

    We build tables, queries, migrations and data-access code in Agile sprints, and you see working results on staging at the end of each sprint review.

    You receive
    • Staging database with versioned migrations
    • Staging database and API builds
    • Sprint review notes on schema and query changes

    You review progress at every sprint

  4. QA

    We test migrations, constraints and query performance against your agreed acceptance criteria, using realistic data volumes, before anything reaches production.

    You receive
    • Acceptance checklist for data integrity and performance
    • QA report on migrations and data-layer tests
    • Issue log with severity and owner

    You sign off the database work against the acceptance criteria agreed in writing.

  5. Release

    Run the production migration and deployment, then hand over schema documentation and deployment access.

    You receive
    • Production release with tested migration scripts
    • Schema, runbook and backup documentation
    • Database and deployment access handover

    You receive the documentation and access to run the database yourselves.

Connected architecture

A PostgreSQL data layer that fits your system

LayerExample choicesDecision to review
Data modelNormalised schemas, constraints, indexes and JSONB where flexible fields are neededHow your entities, relationships and reporting needs map to tables and indexes
Application & APINode.js or Python services with versioned schema migrationsWhich service owns each query, and how schema changes reach production safely
Hosting & operationsNode.js or Python services reading and writing PostgreSQL, with TypeScript where the team wants typed data accessWhich service owns each table, and how your existing systems connect to it
QualityMigration rehearsals, query plan review and automated tests on staging dataData integrity, rollback options and release risks

Ready to scope your PostgreSQL project?

Send a short brief covering your data, systems and goals, and we reply with questions, a written discovery scope and the cross-functional team we would put on it.

Start my brief
Illustration of a connected product team
Delivery & QA

Test the data layer before it goes live

  • Schema and migration scripts reviewed by the technical architect before release
  • Queries on critical user journeys checked against realistic data volumes
  • Acceptance criteria tested in QA, with an issue log you can review
Three ways to engage

Choose how we build your PostgreSQL data layer

Project delivery

Fixed-price delivery of a defined PostgreSQL build, such as a new schema, a migration or a data-heavy application, for teams that want a set scope and one accountable delivery lead.

  • A written discovery scope that fixes schema, migration and integration boundaries before the build
  • Fixed-price commercial terms, with a client-facing review at the end of every sprint
  • Changes to the data model or scope go through an agreed change request, so cost and timing stay visible

Dedicated team

A dedicated India-based team that owns the PostgreSQL work on your roadmap over time, suited to products where the data model, performance tuning and releases keep evolving.

  • A cross-functional team spanning back-end, QA and DevOps, matched to your PostgreSQL workload and stack
  • A named delivery lead for day-to-day progress, plus a technical architect accountable for schema design and code quality
  • Source code, schema definitions and migration scripts assigned to you through IP terms confirmed in the contract before the build starts

Staff augmentation

Individual PostgreSQL and back-end engineers who join your existing team and work in your repositories, suited to teams that already have the architecture and need more hands.

  • PostgreSQL engineers placed inside your team for schema design, query tuning or migration work
  • Work done in your repositories, issue tracker and code review process, so database changes follow your existing standards
  • Communication window, meeting schedule and update cadence agreed with you before the first task begins
Before you enquire

PostgreSQL questions, answered before you enquire

What drives the cost and timeline of a PostgreSQL project?

Cost and timeline follow the size of the data model, the volume of existing data to migrate, your query performance targets and the number of systems that connect to the database. Netofficials sets these out in a written discovery scope before the build starts. If the scope is clear, fixed-price project delivery usually fits. If it will keep changing, a dedicated team is the better route. Send a short brief and we will return a scoped estimate with our assumptions stated.

Who owns the schema, code and IP?

You do. Netofficials confirms IP assignment in the contract before any build begins, so the schema, migration scripts and application code we write for you belong to you. At release we hand over documentation and deployment access, so your team can run and extend the PostgreSQL setup without depending on us.

How will we work with you day to day?

A named delivery lead owns daily progress and communication with you, and a technical architect is accountable for database design and code quality. We agree the communication window, meeting schedule and update cadence with you before work starts, and you review the work at the end of every sprint. If you already have engineers, we can work inside your tools and process through staff augmentation, with responsibilities agreed up front.

Scope your PostgreSQL project with us

Send a short brief about your product, data volumes and existing systems. We reply with questions and a written discovery scope covering schema, migration and integration work, so you can see what your PostgreSQL build involves before committing. A named delivery lead keeps your project moving, and a technical architect is accountable for system design and code quality. IP assignment is confirmed in the contract before the build begins.

Talk about your project