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PostgreSQL development services

We use the PostgreSQL database system in software development to fulfill our clients’ demand for complex applications with advanced features.

Why PostgreSQL development?

PostgreSQL or Postgres is a powerful open-source database system that helps store, organize, and manage large amounts of data. for example, we've efficiently managed more than 4 terabytes of data in a recent project. The database can handle complex tasks, which makes it a perfect choice for both startup and enterprise projects.

The open-source nature of the PostgreSQL database system means that it is free to use, eliminating additional technology-related costs

PostgreSQL technology has been in the market for over 20 years, making a reliable choice that prevents crashes or data loss

The database enables data encryption and accesses control protect sensitive data

Full-text search, geospatial data handling, and support for complex queries enhance business intelligence and analytics

PostgreSQL database development keeps businesses free from vendor lock-in commonly associated with proprietary database solutions

The active global community continually contributes to its development, ensuring continuous improvements, a wealth of available resources, and global support

Our expertise in custom PostgreSQL development

Team of developers

Our engineers working with PostgreSQL development hold BA and higher software engineering-related degrees

Ronas IT development team has experience of working with PostgreSQL database management system’s adds-on like PostGIS and other

Our PostgreSQL developers work with the latest version of technology

Variety of projects

We have a cross-functional team, meaning you hire expert PostgreSQL developers who understand how the entire application should function, not just how to develop a specific part

Since we have experience across various industries, from e-commerce to fintech, there’s no problem in providing PostgreSQL development service to any field

We used PostgreSQL on different projects, from a reading app startup to a large media platform

Technology stack

For the last 7 years PostgreSQL database management system has been an integral part of our core tech stack.

Cloud platforms

We make sure our clients escape vendorlock and integrate PostgreSQL technology with independent and secure cloud platforms, including Google Cloud Platform and Amazon Cloud Storage.

Programming languages

Within our software development services, we engineer with PHP programming language and its framework Laravel.

Development environment

We set up our development environment in GitLab.

Security

To provide the secure custom PostgreSQL development service, we implement fine-grained access control along with the least privilege approach.

Monitoring tools

We track errors with Sentry, and monitor the health of PostgreSQL databases with Grafana, Prometheus and Loki.

Best practices

Implementation of PostgreSQL on cloud platforms

Our PostgreSQL database development services maximize the benefits from integration with cloud environments, focusing on the unique needs of businesses that primarily use PostgreSQL in the cloud. We implement Cloud SQL and RDS for PostgreSQL, Google and Amazon's enterprise-ready solutions, which handle PostgreSQL database administration. This reduces the time spent on PostgreSQL database management and allows developers to focus more on the application's development itself.

Replication

We implement robust replication strategies to provide database high availability and fault tolerance, allowing seamless data synchronization across multiple instances.

Point in time recovery

Our experts implement point in time recovery capabilities, helping businesses to restore databases to a precise moment in time, which is critical for minimizing downtime and providing business continuity after data incidents.

Backups

We set up automated and strategic backup solutions. Your data is consistently protected and can be recovered quickly without the risk of data loss.

Private access control

We configure databases to allow private access. Connections are permitted only from within your specific cloud cluster, enhancing security by restricting unauthorized access.

Access control lists

By employing access control lists, we provide fine-grained control over database permissions. Users have access only to what they need, which enhances security and compliance.

Full Text Search with PostgreSQL development

A powerful feature of PostgreSQL development is Full Text Search (FTS), integrated search capabilities ideal for content-rich applications such as e-commerce platforms, digital libraries, and customer relationship management systems, enhancing search functionality without additional costs. We easily implement this feature for apps requiring advanced search.

Cost-efficiency

FTS is built directly into PostgreSQL, allowing seamless and efficient text search capabilities without the need for additional software, reducing overall system complexity and costs.

Advanced search

FTS offers advanced text processing, including stemming, ranking, and support for multiple languages, enabling sophisticated, context-aware search capabilities.

Scalability

Optimized for speed and scalability, PostgreSQL FTS efficiently handles large volumes of data, delivering quick and reliable search performance as your data grows.

Customization

FTS is fully customizable to meet specific industry needs while keeping secure and compliant operations with industry standards.

Alternative

If the built-in FTS functionality is not sufficient for advanced text search, we can integrate PostgreSQL with Elasticsearch and Sphinx.

Development approach with PostgreSQL

  • 1

    Planning

    Our PostgreSQL development begins with a comprehensive analysis of client requirements and objectives for the application. We craft data models and database schema designs, aligning our strategies with the client's needs.

  • 2

    Architecture and modularity

    In our PostgreSQL database development, we adopt a modular approach, employing design patterns that anchor scalability and adaptability. This strategy allows us to build and evolve robust systems that can grow with your business needs, ensuring seamless integration and operation across various applications.

  • 3

    Development and testing

    Our development team is dedicated to maintaining consistent data model management. Throughout the PostgreSQL development process, we implement continuous integration testing, coupled with automated testing, to guarantee data reliability and consistency. Thus, the system functions optimally, addressing issues proactively.

  • 4

    Support and Updates

    Our commitment extends beyond initial development with ongoing support tailored to your needs. We manage version upgrades and respond to security patches or feature requests. Regular monitoring and performance optimization are integral parts of our service, ensuring that your PostgreSQL database remains performant and secure.

Related services

Custom PostgreSQL development
Custom PostgreSQL development

Unless otherwise requested by our clients, we build all our custom applications using PostgreSQL. This system supports the development of solutions with any level of complexity, load, and scalability.

PostgreSQL database migration
PostgreSQL database migration
PostgreSQL database migration

We help move your data systems to PostgreSQL, focusing on a smooth transfer that keeps everything working and your data safe.

PostgreSQL consultation
PostgreSQL consultation

We can provide guidance on optimizing PostgreSQL for better performance, helping your company to enhance data management and storage capabilities.

PostgreSQL cloud development
PostgreSQL cloud development

Our PostgreSQL cloud development services focus on optimal database deployment and integration within cloud platforms. Your PostgreSQL databases are efficiently managed to provide improved scalability, reliability, and accessibility for your applications.

Successful project examples with PostgreSQL database development

Neobank application

Our team recently developed a neobank app for US citizens, facilitating access to credit scores and credit card acquisition.

For this project, we used PostgreSQL database management in Google Cloud. Its managed Cloud SQL service provided the reliability, scalability, and security to our database.

View case
Neobank app on a phone showing a transactions list with cashback rewards on each purchase.
Neobank app on a phone showing a transactions list with cashback rewards on each purchase.
Waku Waku

Waku Waku is an IMDb-like platform for anime enthusiasts that allows users to share opinions and find information about anime.

All data on episodes, ratings, and reviews is stored in a PostgreSQL database and rapidly accessed with Redis in response to user queries.

View case
Anime streaming app on two phones showing a home feed and an anime title page with ratings.
Anime streaming app on two phones showing a home feed and an anime title page with ratings.
UK Retreats

PostgreSQL database management via Google Cloud Platform was implemented to store multiple stays for the UK Retreats web booking application. The aim of this app was to find scalable solutions within a particular budget.

The startup attracted over 850 new users in the first month after its launch.

View case
Holiday rental booking app on two phones showing a cottage listing and a map of available properties.
Holiday rental booking app on two phones showing a cottage listing and a map of available properties.
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Laws and regulation compliance

The approach to sensitive data within our PostgreSQL development services involves paying special attention to regional and industry regulations. We ensure that all our solutions are designed to meet the highest standards of legal compliance, providing our clients with peace of mind regarding data protection and privacy.

GDPR

Data Protection Act 2018

ISO 27001

Privacy Act 1988

Australian Privacy Principles

PIPEDA

HIPAA

CCPA

SOC 2

FAQ

Are PostgreSQL development services included in your software development services?
Yes. PostgreSQL is part of our backend development scope. It’s our main database choice for about 90% of projects. Our PostgreSQL work usually includes schema design (tables, indexing, normalization choices), query optimization, table partitioning, logical and physical replication, automated backups, migrations from other systems, and production monitoring with pg_stat_statements, Datadog, or Prometheus + Grafana.
What other services do you provide apart from PostgreSQL development services?
In addition to PostgreSQL, we provide backend development (Laravel, Node.js, FastAPI), DevOps services (Docker, Kubernetes, CI/CD, cloud setup on GCP/AWS), AI integration, frontend development with Next.js/React, React Native mobile, UI/UX design, and CTO-as-a-service. We deliver these as standalone engagements or combine them into one product team for projects that need full-stack coverage.
Do you only provide PostgreSQL development services, or can any alternative technology be used instead of PostgreSQL?
PostgreSQL handles most workloads we see: transactions, analytics, JSONB for flexible data, PostGIS for geospatial, and pgvector for AI/vector search. When something doesn’t fit, we pick by workload shape. MySQL if the client already runs it, or for legacy compatibility. MongoDB for document-heavy data. Redis for caching and queues. ClickHouse or BigQuery when analytics hits billions of events. DynamoDB or Cassandra for horizontal scale-out. Elasticsearch for full-text search. PostgreSQL is the default; we add another database only when a specific workload runs better on it.
What is the difference between PostgreSQL and MySQL (or other SQL databases)?
PostgreSQL fits products needing JSONB with GIN indexing, first-class arrays and range types, geospatial via PostGIS, time-series via TimescaleDB, or vector search via pgvector. In practice, MySQL often performs well on simple single-table OLTP, while PostgreSQL is stronger on concurrent writes, complex queries, and logical replication via publications and subscriptions for zero-downtime migrations. PostgreSQL is our default on new projects: the extension ecosystem covers growth scenarios without adding a second database, the permissive license has no commercial restrictions, and the wider ecosystem (tools, hiring, community) is broad and active.
Can you migrate my existing database (MySQL, MongoDB, Oracle) to PostgreSQL?
Yes. We migrate both the database and the application that uses it. We start by auditing the source schema, stored procedures, and dialect-specific patterns, then write a custom converter in the existing backend stack (often a Laravel script) to translate the schema and move the data. We also refactor the application’s database layer (drivers, query syntax, indexing decisions) and move stored procedure logic into application code where it fits better. We finish by load-testing the application’s real user flows under expected traffic.
How do you handle PostgreSQL backup and recovery in production?
Most of our production PostgreSQL runs on managed services (Google Cloud SQL, AWS RDS, or Azure Database for PostgreSQL), which handle automated backups, WAL archiving, and point-in-time recovery natively. Our scope is configuring retention windows, enabling cross-region backup replication where compliance requires it (HIPAA, fintech), and wiring alerts on backup failures through Cloud Monitoring or CloudWatch. For projects that can’t use managed services (on-premise, data sovereignty constraints), we set up self-hosted backup pipelines with pgBackRest. We verify the restore procedure works at initial setup and before major releases.
How do you secure PostgreSQL in production?
We design PostgreSQL security across four layers. Network: private VPC, connections only from authorized servers. Access: per-service roles with minimal grants, IAM-based authentication, and row-level security for multi-tenant data. Secrets: Vault or cloud Secret Manager, never environment variables. Audit: query and connection logs streamed to Cloud Logging or CloudWatch. For regulated workloads (PCI DSS in fintech, HIPAA in healthcare), we add column-level PII encryption, longer audit retention, and data masking in non-prod environments.
How do you optimize PostgreSQL performance for large datasets (JSONB, partitioning, indexing)?
When PostgreSQL is slow, we start with query plans: pg_stat_statements and auto_explain stream into Cloud SQL Query Insights, Datadog DBM, or pganalyze, where the index advisor catches most issues. If indexes are right, config (shared_buffers, work_mem, autovacuum, idle_in_transaction_session_timeout) needs workload-specific tuning. For large datasets we partition (declarative or via pg_partman), use GIN for JSONB and BRIN for time-series, and add materialized views for heavy reports. Connection pooling via pgbouncer or RDS Proxy handles high connection counts, and query-plan checks in CI against production-scale data catch regressions before they ship.
Do you offer dedicated PostgreSQL developers or fixed-scope projects?
We work on a time and materials basis at $50/hour with PM at $400/week. Engagements are either dedicated or fixed-scope. A dedicated team (PostgreSQL developer + DevOps + PM) fits when the work is continuous: schema design, optimization, migration support, or scaling as the product grows. Fixed-scope projects work for discrete deliverables like a database migration, performance audit, or schema redesign. Once the engagement is finalized (NDA, access, scope agreement), we can start within 2-3 days.