PostgreSQL Development Services
Hire senior LATAM PostgreSQL developers for database design, performance tuning, and migrations, with consulting that keeps your data fast and available.
Custom
PostgreSQL
Development Services
PostgreSQL Database Development
Schemas, data models, functions, and APIs designed around how your application actually reads and writes data, so the database stays fast and easy to evolve.
PostgreSQL Consulting
Architecture reviews, health checks, and capacity planning from senior PostgreSQL experts who spot risks early and give your team a clear roadmap.
PostgreSQL Performance Tuning
Find and fix slow queries, missing indexes, lock contention, and vacuum issues using execution plans and real workload data, not guesswork.
Migration to PostgreSQL
Move from Oracle, SQL Server, or MySQL to PostgreSQL, including schema conversion, stored procedure rewrites, data validation, and low-downtime cutovers.
High Availability & Cloud PostgreSQL
Replication, automatic failover, backups, and point-in-time recovery on Amazon RDS, Aurora, Cloud SQL, or self-managed clusters.
PostgreSQL for AI with pgvector
Store embeddings next to your business data and power semantic search and RAG features without adding a separate vector database.

Hire
PostgreSQL
developers
Strengthen your data layer with PostgreSQL engineers from Latin America who understand both database internals and the applications that depend on them.
- Senior PostgreSQL developers and database engineers
- Full overlap with U.S. time zones
- Clear communication backed by strong English
- Production experience with tuning, replication, and migrations

Why us for software development
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Proven track record
We've helped U.S. companies scale high-performing teams through nearshore development, delivering consistent results in speed, code quality, and long-term product success.
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Nearshore developers
Work with senior developers in your time zone, fully aligned with your workflows, communication style, and product goals.
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Extensive talent network
Access a curated network of 70,000+ vetted professionals, making it faster and easier to hire developers who match your technical and cultural requirements.
Security first
As ISO 27001:2022 certified, we protect your data and operations with enterprise-grade security and compliance.

Our stack for
scalable products
Core Database
PostgreSQL and its procedural language cover everything from simple CRUD operations to complex business logic inside the database.
Data Modeling & Design
Schemas balance normalization for integrity with targeted denormalization for read-heavy workloads.
Performance & Optimization
Execution plans, query rewrites, connection pooling, and caching keep response times low as data and traffic grow.
Extensions
Extensions like pgvector, PostGIS, and TimescaleDB add vector search, geospatial, and time-series capabilities without leaving PostgreSQL.
Cloud & Managed PostgreSQL
Managed services take care of patching and backups, while tuning and architecture stay in expert hands.
ORMs & Application Integration
ORMs and migration tools keep schema changes versioned and in sync with application code.
Reliability & Security
Backups, encryption, row-level security, and audit trails protect data and keep it available.
Our 3-Step Process
01
Define your needs
We start by understanding your goals, technical requirements, timeline, and the best engagement model for your project.
02
Build the right solution
Whether you need specialized engineers or a dedicated team to own delivery, we bring together the right expertise for your needs.
03
Launch and scale
We handle onboarding and setup or manage project delivery end to end, with ongoing technical support as your needs evolve.
Ready to get started?
Numbers that define us
Team members
NPS Score
Retention rate
Countries
Vetted candidates
PostgreSQL
About Development
PostgreSQL is an open-source relational database with more than 35 years of active development, known for its reliability, standards compliance, and extensibility. It handles transactional workloads, JSON documents, full-text search, geospatial data, and vector embeddings in a single engine, which is why it has become the default database for many modern applications.
PostgreSQL combines strong data integrity and full ACID compliance with advanced features like JSONB, window functions, and custom data types. It has no licensing costs, a large extension ecosystem, and runs on every major cloud, which keeps teams flexible and avoids vendor lock-in.
SaaS platforms and multi-tenant applications, fintech and e-commerce systems that need strict consistency, analytics and reporting databases, geospatial apps with PostGIS, time-series data, and AI features that store embeddings alongside business data.
PostgreSQL works with every major backend stack, including Node.js, Python, Ruby on Rails, Java, and Go, and with ORMs like Prisma, Drizzle, and the Django ORM. It runs as a managed service on Amazon RDS and Aurora, Google Cloud SQL, and Azure, and on developer platforms like Supabase.
Both are mature, open-source relational databases. MySQL is simple to operate and very fast for read-heavy web workloads, while PostgreSQL offers richer SQL features, stricter standards compliance, and more extensibility. For complex queries, strict data integrity, or workloads that mix relational, JSON, and vector data, PostgreSQL is usually the stronger choice.
PostgreSQL
Development FAQs
How do your PostgreSQL developers handle migrations from Oracle or SQL Server?
They convert schemas and data types, rewrite stored procedures, validate migrated data, and plan cutovers with minimal downtime, working as part of your team or owning the migration end to end.
How do your PostgreSQL engineers approach performance tuning?
They work from real workload data, such as slow query logs, execution plans, and system metrics, to optimize queries and indexes, adjust configuration, and add connection pooling or caching where it makes a difference.
Which managed PostgreSQL services do your developers work with?
Amazon RDS and Aurora, Google Cloud SQL, Azure Database for PostgreSQL, and Supabase, as well as self-managed clusters.
What AI features can your team build with PostgreSQL and pgvector?
Semantic search and RAG features. Our developers use the pgvector extension to store embeddings and run similarity searches directly in PostgreSQL, without a separate vector database.
How do your PostgreSQL experts set up high availability?
With streaming replication, automatic failover, connection pooling, and tested backup and point-in-time recovery, matched to your uptime and recovery targets.








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