QalbIT uses PostgreSQL as the core data layer for modern SaaS products, internal tools and transactional systems. We focus on clean schema design, predictable performance and resilience, so your application can grow without database surprises.
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Typically responding within 24–48 hours. Share your current tech stack, product stage and timelines.
PostgreSQL development overview
We help teams design new PostgreSQL databases or improve existing ones, with a focus on data integrity, performance and long-term maintainability.
For existing systems we usually start with a database health check and performance review, then define practical improvements that can be rolled out in phases.
What we do with PostgreSQL
From initial schema design to migrations, performance tuning and ongoing operations, we treat PostgreSQL as a core part of your product, not just a checkbox.
Design
Designing relational schemas, constraints and indexes that match your domain and keep data consistent.
SaaS
Structuring PostgreSQL for multi-tenant SaaS products – shared schema or separate databases based on risk and scale.
Performance
Query analysis, indexing strategies, connection pooling and caching to keep performance predictable as load grows.
Migration
Planning and executing migrations from legacy databases to PostgreSQL with minimal downtime.
Want to see how these capabilities map to your product? Share a quick overview and we will respond with a practical next step.
Talk through your PostgreSQL data layer →How PostgreSQL projects work with QalbIT
We structure PostgreSQL work so that you see quick wins on performance and safety while moving towards a long-term, stable data architecture.
1–3 weeks
Review current schemas, queries, infrastructure and growth plans to understand where PostgreSQL can improve things.
Key outcome: Clear picture of risks, quick wins and longer-term database improvements.
2–4 weeks
Define or refine database schemas, relationships, indexes and multi-tenant strategy aligned with your product roadmap.
Key outcome: Agreed PostgreSQL schema and architecture plan ready for implementation.
4–10+ weeks (scope-dependent)
Implement schema changes, data migrations and application-level adjustments with careful rollout and testing.
Key outcome: Updated PostgreSQL database running in staging/production without disrupting users.
2–4 weeks
Optimise queries, indexes, connection management, backups and monitoring to keep the database healthy.
Key outcome: Faster, more predictable database behaviour with clear observability.
Ongoing, month-to-month
Support new features, data growth and compliance needs with an evolving PostgreSQL roadmap.
Key outcome: A database that grows with your product instead of holding it back.
Want to see how this process applies to your current stage? Share a short brief and we will respond with a tailored next step.
Walk me through this for my database →Where PostgreSQL shines
We typically use PostgreSQL where relational integrity, reporting and long-term data growth are important.
For SaaS founders and product teams
Core data layer for subscription products with multiple tenants, roles and modules.
For Operations and business teams
Line-of-business applications that depend on consistent transactions and auditability.
For Data and product teams
PostgreSQL used for mixed workloads – operational plus light analytics, reporting and dashboards.
For Teams modernising existing systems
Moving from older databases (for example MySQL, SQL Server) to PostgreSQL for better features and ecosystem.
Not sure if your idea or system belongs here? Send us a short description and we will tell you honestly whether we are the right team for it.
Ask if PostgreSQL is right for your product →Tech stack & tooling
We pair PostgreSQL with modern ORMs, migration tools and cloud services so your database stays reliable and manageable.
How we use Postgres itself.
Keeping performance predictable as load grows.
How applications talk to PostgreSQL.
Running PostgreSQL safely in production.
Already on another database? We can run PostgreSQL alongside your existing system during migration, then cut over safely once everything is validated.
Answers to common questions about PostgreSQL design, performance, multi-tenant setups and migrations.
Have a question that is not listed here?
Share your roadmap or idea and we’ll help you pick the right engagement model, tech stack and starting point.
Contact our expertsPostgreSQL is a powerful open-source relational database known for reliability, integrity and advanced features such as strong ACID compliance, rich data types and powerful queries. It is a strong choice for SaaS products, transactional systems and applications that need consistent data and long-term scalability.
We typically use PostgreSQL for SaaS platforms, internal tools, transactional business systems and applications that require complex querying or reporting. It is often the primary database behind Laravel or NestJS backends, Next.js web apps and mobile products that rely on a central API.
Yes. We can assess your current database, map schemas and data types, plan data migration flows and handle the application-level changes needed. We usually perform migrations in phases with rehearsals, so downtime and risk are minimised.
We choose between shared schema, schema-per-tenant or database-per-tenant models based on your risk profile, scale and operational preferences. We design tenant-aware tables, indexes and access patterns so each tenant’s data is isolated while still being efficient to manage.
We start by analysing slow queries and execution plans, then adjust indexes, rewrite problematic queries and review schema design. We also look at connection pooling, caching strategies and background jobs, so the database is not overloaded with work that could be handled elsewhere.
Yes. We configure regular automated backups, define retention and recovery objectives, and where needed set up replication or managed high-availability options. We also test restores so you can be confident you can recover from incidents, not just assume.
We regularly work with managed PostgreSQL offerings on AWS, DigitalOcean and other clouds. Managed services simplify patching, backups and some operational tasks, while we focus on schema design, query performance and how your application uses the database.
We apply best practices such as role-based access control, least-privilege permissions, encrypted connections, separation of environments and proper audit logging. We also align database configuration with your broader security and compliance requirements, such as GDPR or sector-specific rules.
Yes. PostgreSQL can handle transactional workloads and a reasonable level of reporting and analytics, especially with good indexing, materialised views and careful query design. For heavier analytics, we can also design an architecture where PostgreSQL feeds a dedicated reporting or warehouse layer.
You can start by sharing your current database setup, application stack and the main issues or goals you have. We usually begin with a short assessment, then propose either a focused optimisation sprint, a migration plan or ongoing support for your PostgreSQL environment.
Relying on your database for the long term?
Share your current database setup, performance concerns and growth plans. We will review your PostgreSQL usage and propose a practical plan for stabilising, optimising or migrating your data layer.
We usually start with a short assessment and then outline quick wins plus a longer-term roadmap.