GeekyAnts
Backend Engineering
Node.js / NestJS EngineeringPostgreSQL ArchitectureRedis for ScalingMongoDB Data Modeling

PostgreSQL Product Architecture

We design PostgreSQL architectures that handle complex, evolving data requirements without accumulating the technical debt that makes schema changes a production risk.

Clutch 4.9 rating with 5 stars
100+Reviews
1000+Projects Delivered

Stop fighting your Database’s Limits.

NDA Protected
Response within 24hrs
No Obligation

550+ Engagements Since 2006 — Trusted By

Darden
SKF
WeWork-Client
Thyrocare
goosehead insurance
Blissclub
OliveGarden
MetroGhar
chant
soccerverse
ICICI
kingsley Gate
Coin up
Atsign
Darden
SKF
WeWork-Client
Thyrocare
goosehead insurance
Blissclub
OliveGarden
MetroGhar
chant
soccerverse
ICICI
kingsley Gate
Coin up
Atsign
Darden
SKF
WeWork-Client
Thyrocare
goosehead insurance
Blissclub
OliveGarden
MetroGhar
chant
soccerverse
ICICI
kingsley Gate
Coin up
Atsign

CUSTOMER STORIES

Client Results and Success

We have partnered with 600+ clients across more than 50 industries to build systems that handle real-world scale. These stories show how we turn complex technical challenges into business growth and reliable performance.

Fintech Admin Engine

400M+ global payments processed annually

We built a centralized, high-concurrency admin platform for this North American fintech to manage cross-border payments. The architecture allows for regional feature toggling and real-time monitoring across multiple countries from a single interface.

120k+

Active Users in the UK, Canada, Europe, and Australia

400M+

Global Payments Processed Annually

350k+

Downloads Across iOS and Android

AI Recommendation Engine

3x faster AI feature iteration

We engineered a scalable meal recommendation backend that utilizes machine learning to adapt recipes based on real-time pantry inventory. The system was designed to handle a library of 3,000+ recipes and provide instant updates to users.

40%

Reduction in meal decision time

2x

Increase in daily active usage during pilot

3x

Faster iteration on new AI-driven features

Overseas Fund Transfer

$57,000+ Annual Savings

We executed a comprehensive cloud infrastructure overhaul for this digital banking platform to eliminate over-provisioning and inefficient resource allocation. By rightsizing database instances and automating environment scaling, we stabilized the backend while slashing overhead.

60%

Reduction in monthly cloud costs

$4800

Saved per month

$57,000+

Annual savings

BPM Platform

50% reduction in manual validation cycles

We modernized the core processing engine of this business process management platform using SQL-based intelligent agents and RAG (Retrieval-Augmented Generation) models to automate complex workflow validations.

30%

faster internal testing

50%

reduction in manual validation

OUR SERVICES

Our PostgreSQL Product Architecture Capabilities

Advanced Data Modeling

We design schemas that grow with your product. By utilizing Table Inheritance and Custom Types, we build databases that can handle complex relationships while maintaining the flexibility of a document store through optimized JSONB indexing.
Advanced Data Modeling

Expert Performance Tuning

Hardened Data Integrity

WHAT WE DO

Complete Backend Engineering Services for Enterprises and Companies

Product Backend Studio

We build "0-to-1" engines for high-growth apps. Our flexible foundation ensures speed-to-market and rapid feature scaling.

Enterprise Backend

We transform legacy monoliths into modern microservices, bridging old cores with new interfaces to prevent system downtime.

Cloud & Platform Engineering

We use infrastructure as code to balance cost and performance through automated scaling and resource rightsizing.

Data & Infrastructure Engineering

We build high-speed pipelines for AI and analytics. We prioritize concurrency, storage efficiency, and instant data access.

OUR RANGE OF IMPACT

Industries-Based PostgreSQL Product Architecture Services

The data integrity and performance requirements that a PostgreSQL schema must meet shift by product type. We design PostgreSQL schemas around the actual data model, query patterns, and integrity requirements of the product.
Healthcare

Healthcare

Fintech

Fintech

Food and Beverages

Food and Beverages

Manufacturing

Manufacturing

E-Commerce

E-Commerce

Travel and Hospitality

Travel and Hospitality

Hiring

Hiring

Real Estate

Real Estate

Sports

Sports

Education

Education

Social Media

Social Media

On-demand Booking

On-demand Booking

THE GEEKYANTS DIFFERENCE

PostgreSQL Product Architecture by Engineers Who Have Delivered 1000+ Projects

We have worked on databases where inventory race conditions were accepted as normal, where reporting queries were timing out because nobody had added a materialized view, and where JSONB had been added without indexing because the flexibility was needed, but the performance implications were not considered.

Direct Access to Builders

The senior engineers who plan your architecture are the same ones who write the code.

The Right Tool for the Job

We work with NestJS, Express, GraphQL, and more. We choose the technology that fits your team, not just what is trendy.

Full Independence

We provide clear documentation and Architecture Decision Records. When we finish, your team will have everything they need to run and grow the system without us.

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Build with us.Accelerate your Growth.

Customized solutions and strategiesFaster-than-market project deliveryEnd-to-end digital transformation services

Trusted By

Build with us.
Accelerate your Growth.

  • Customized solutions and strategies
  • Faster-than-market project delivery
  • End-to-end digital transformation services

Trusted By

WeworkSKFDardenOlive GardenGoosehead InsuranceThyrocare
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What You Need to Know

FAQs About PostgreSQL Product Architecture Services

We cover schema design, JSONB data modeling, constraint and trigger implementation, index strategy, query optimization, and materialized view setup. The end state is a data model that enforces the product's business rules at the database layer and performs at the query volumes the product generates.