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PostgreSQL
Stack · Database

Relational database PostgreSQL

We design and operate custom PostgreSQL databases: clean schema, versioned migrations, optimized queries, high availability.

Senior product team · PostgreSQL in production · from scoping to deployment
In short

What is PostgreSQL, and why use it?

PostgreSQL is the most advanced open-source relational database on the market. It supports native JSON, full-text search, extensions (pgvector for AI, PostGIS for geolocation), ACID transactions and complex analytical queries. It's the reference choice for applications that need reliability, flexibility and a custom PostgreSQL database tailored to their domain.

The tech

Why we use PostgreSQL

01

ACID transactions

Consistency guaranteed, even under load. No data lost in a failure: transactions are all or nothing.

02

Powerful extensions

pgvector for AI embeddings, PostGIS for geolocation, pg_cron for jobs: PostgreSQL extends without switching tools.

03

Indexes and performance

B-tree, GiST, GIN indexes: we optimize slow queries and avoid costly full scans.

04

Versioned migrations

Prisma Migrate or Flyway: every schema change is versioned, reviewable and reversible.

For you

What PostgreSQL changes for your product

A PostgreSQL relational database that holds up under load, stays easy to maintain and never caps your growth.

01

Reliable data

ACID transactions, integrity constraints, foreign keys: your data stays consistent, even when there's an application bug.

02

Performance under load

Well-placed indexes, optimized queries, connection pooling: the PostgreSQL database holds through the peaks without degradation.

03

Search and AI built in

Native full-text search, pgvector for embeddings: no need for Elasticsearch or Pinecone to get started.

04

Progressive scalability

Read replicas, partitioning, sharding: PostgreSQL supports your growth without an architectural rebuild.

Our expertise

Our PostgreSQL expertise, in numbers

<10 ms
p95 on well-indexed queries
0
migration of corrupted data
100 %
of projects with versioned migrations
99.9 %
uptime with managed replication
Use cases

What we build with PostgreSQL

Custom application databases (SaaS, ERP, CRM)
Full-text and semantic search (pgvector)
Geospatial data with PostGIS
SQL analytics and reporting
Multi-tenant databases with row-level security
Data archiving and history

We combine PostgreSQL with

The stack that surrounds PostgreSQL on our projects.

PrismaNestJSNode.jsRedisDockerAWS RDS
Method

How we work with PostgreSQL

Every stack comes with its own ecosystem. We always pick the technologies best suited to your project, based on its needs and its context.

FAQ

PostgreSQL: your questions

Can't find your answer? Write to us, we'll get back to you.

Contact us

We start by designing the PostgreSQL database schema tailored to your business domain: entities, relationships, constraints and indexes. Then we integrate the ORM (Prisma or TypeORM), set up the versioned migrations and optimize the queries before going to production.

Yes. With the right indexes, partitioning and a connection pooler (PgBouncer), the PostgreSQL relational database handles hundreds of millions of rows without trouble.

Non-blocking migrations (adding a nullable column, creating a CONCURRENT index), progressive deployment: the migrations go through without cutting service.

Yes. The pgvector extension lets you store and query embeddings directly in PostgreSQL. For many use cases, that's enough without adding Pinecone or Weaviate.

Yes. An audit of the schema, the indexes, the slow queries (pg_stat_statements) and the configuration: we identify the priority optimizations.

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A solid, high-performance PostgreSQL database

We design, optimize and operate your PostgreSQL database. Clean schema, versioned migrations, guaranteed performance.

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