Backend & APIs
PostgreSQL
The PostgreSQL database we trust to run your business.
PostgreSQL is our default database: strict relational integrity for the transactional data your business runs on, JSONB columns for the flexible parts, and full-text search built in. It scales from MVP to serious production load on every major cloud without changing technology — one engine instead of stitching several together.
- 01ACID guarantees protect the orders, payments and records your business actually runs on.
- 02JSONB plus relational in one engine — schema flexibility without giving up data integrity.
- 03Full-text search, geospatial and the pgvector extension are built in, so one database covers most needs.
- 04Battle-tested replication, point-in-time backups and mature tooling on every major cloud.
- 05Open source and Postgres-native — no per-core licence and no vendor lock-in.
Most products are relational at heart — customers, orders, subscriptions, permissions — and the database underneath them is the one piece you cannot afford to get wrong. PostgreSQL is the open-source engine Karve reaches for first because it covers that core with strict integrity, then handles the flexible parts too, so most products in Dubai and across the UAE ship on a single database rather than a patchwork of specialised stores.
Why PostgreSQL is our default
Postgres gives us ACID transactions for the data a business genuinely runs on, while JSONB columns hold the semi-structured parts in the same tables — so flexibility never comes at the cost of integrity. Full-text search, geospatial types and extensions are built in, which means one engine covers what would otherwise be three or four services. For most of our web development work, that is fewer moving parts to operate, secure and pay for.
How Karve builds with PostgreSQL
Modelling and migrations
We design the schema for correctness from the start — constraints, foreign keys and sensible normalisation — and manage change through versioned migrations so the database evolves safely as the product does. JSONB is used deliberately for the genuinely flexible fields, indexed where it needs to be queryable, rather than as an escape hatch that quietly loses you integrity.
Search and intelligence
Postgres ships with full-text search that handles bilingual Arabic and English content well, and the pgvector extension turns the same database into a vector store for semantic search and retrieval. That keeps AI features grounded in your own data without a second system to keep in sync.
Performance and operations
We tune queries with EXPLAIN rather than guesswork, add the right indexes and pool connections so the database stays fast under real traffic. On the operations side we set up automated backups, point-in-time recovery and read replicas on managed Postgres, and run migrations with zero downtime — because the database is the part of the stack a business can least afford to have go dark.
What we deliver
A relational schema modelled for integrity, with versioned migrations
JSONB and full-text search where flexible data and search belong in the same engine
Query tuning, indexing and connection pooling for performance under load
Backups, point-in-time recovery and read replicas on managed Postgres
Safe, zero-downtime migrations as the schema and the product evolve
To see Postgres powering a real product at scale, read how we built SaaS Properties.
What it does
Schema & data modelling
Relational schemas designed for integrity from day one — constraints, foreign keys and migrations that keep your data correct as the product grows.
JSONB & flexible data
Store semi-structured documents in JSONB beside your relational tables, indexed and queryable — flexibility where you need it without spinning up a separate NoSQL store.
Full-text & vector search
Built-in full-text search with bilingual Arabic and English support, plus pgvector for semantic search — capable retrieval without a second search service to run.
Performance & indexing
Query tuning, the right indexes and connection pooling so the database stays fast under real load — diagnosing slow queries with EXPLAIN rather than guessing.
Backups & operations
Automated backups, point-in-time recovery, read replicas and safe zero-downtime migrations on managed Postgres, so the database your business depends on stays reliable.
About PostgreSQL
Why PostgreSQL instead of a NoSQL database?
Most products are relational at heart — customers, orders, subscriptions — and they benefit from the integrity guarantees a relational database gives you. Postgres handles the flexible, document-shaped parts too through JSONB, so you rarely need a second database and the operational cost that comes with it. We reach for NoSQL only when a specific workload genuinely calls for it, not by default.
How much does it cost to run PostgreSQL, and how long to set up?
PostgreSQL is free and open source, so there is no licence fee — your spend is the managed hosting and the engineering to set it up well. A production-ready database with schema, migrations, backups and pooling is typically configured within the first days of a build rather than as a separate project. Managed Postgres on a cloud provider starts inexpensively and scales with your usage, and we size it to your actual load instead of over-provisioning.
What are the alternatives to PostgreSQL?
MySQL and MariaDB are the closest relational alternatives, and they are perfectly capable; we tend to prefer Postgres for its richer types, JSONB, full-text search and extension ecosystem. Document stores like MongoDB suit a minority of workloads, and managed services such as cloud Spanner or DynamoDB fit very specific scale or access patterns. For the majority of products we build, Postgres is the most capable single engine, and it keeps your options open rather than locking you in.
Which frameworks and tools does PostgreSQL integrate with?
Postgres has first-class support everywhere we work — Node with Prisma or Drizzle, Laravel's Eloquent, and effectively every other framework and ORM. It runs as managed Postgres on every major cloud, integrates with our wider web development stack, and extensions like pgvector and PostGIS slot in when a project needs semantic search or geospatial data. Because so much speaks SQL natively, there is rarely an integration story to invent.
Does PostgreSQL scale to serious production load?
Comfortably, and well past the point most products ever reach. With proper indexing, connection pooling, read replicas for read-heavy traffic and partitioning for very large tables, a single Postgres cluster carries demanding workloads. We tune for your query patterns rather than chasing theoretical limits, and we will tell you plainly if your volumes ever genuinely warrant sharding or a specialised store — most teams never get there.
Who maintains the database after launch?
Because Postgres runs in your own infrastructure, your team owns it outright — schema, migrations, backups and tuning are all documented and handed over, so there is no black box. We can also keep it running under an ongoing retainer: monitoring, applying updates, evolving the schema safely and tuning queries as traffic grows. For SaaS and startup teams especially, that means a dependable database without hiring a dedicated DBA early.
Where PostgreSQL fits
SaaS & Startup Product Engineering
SaaS and startup product engineering in Dubai — from validated idea to scalable MVP and multi-tenant SaaS platform, with the engineering discipline to grow it.
The service