The reference relational database for B2B SaaS, business software and applications where data integrity matters.
PostgreSQL stack built for results
What you get in the first weeks
They trust us
PostgreSQL offers solid performance, strict typing, full ACID transactions and a rich extension ecosystem: PostGIS for geospatial, pgvector for AI embeddings, native full-text search.
At Inprogress, we use PostgreSQL on projects where data consistency is non-negotiable: B2B SaaS, business software, financial applications. We often pair it with Prisma or Drizzle for end-to-end TypeScript typing.
Full transactions, integrity constraints, foreign keys: data stays consistent even under heavy concurrent load.
Full-text search, geospatial (PostGIS), AI vectors (pgvector), native JSON. One system covers most data needs.
Mature optimizer, advanced indexes, native partitioning. Performance stays stable as volume grows, as long as modeling is done right.
Recent projects where we made a measurable impact.
Clutchain
Mobile-first gaming product connected to FACEIT, with progression loops, rankings, rewards, and web conversion journeys.
LAUNCH IN PROGRESS
Clink
Web-first whitelabel platform for bio-links and digital business cards, with advanced branding, admin operations, monetization, and real-time analytics.
+500 active entrepreneurs
MyBudly
Mobile+web social ecosystem with gamification, real-world tree planting, mini-games, AI features, integrated crypto wallet, and premium monetization.
€2,000,000 raised
Le Monde
Continuous Sirius evolution to harmonize editorial workflows and streamline newsroom collaboration.
3M+ written articles
COMING SOON
We have supported many other projects. Additional detailed case studies are being prepared to share our approach and measurable outcomes.
We help you decide quickly what should be built now and what should wait.
We enforce technical quality to prevent slowdowns and avoid product debt.
A product should move continuously, with a delivery rhythm the whole team can trust.
We start with a fast audit of product context, codebase and business priorities.
Then we run a shared backlog with short iterations and frequent deliveries.
Yes. We audit the current stack, fix critical issues and restore delivery flow.
The objective is to stabilize quickly without freezing your roadmap.
Yes. We act as an extension of your team with transparent technical steering.
Decisions, backlog and rituals are shared end to end.
When entity relationships are many, analytical queries are frequent, or data integrity is critical: billing, user management, business workflows.
We help you decide based on your actual data structure and read patterns.
We analyze execution plans (EXPLAIN ANALYZE), add the right indexes, refactor costly queries and tune PostgreSQL for your actual load.
The goal is predictable response times, even as volume grows.
Yes. With the pgvector extension, PostgreSQL handles embeddings and similarity search directly in your main database.
It is often simpler and more economical than a dedicated vector system for reasonable volumes.
Complementary technologies
These technologies are frequently combined in our projects to build performant and maintainable architectures.
Robust Node JS backends for scaling products
We build reliable Node JS APIs and services that support critical flows and integrations.
View technologyYOUR FIREBASE BACKENDReliable Firebase apps built to scale
Firestore, Cloud Functions, Auth, Storage: we build real-time backends that hold up in production.
View technologyYOUR MONGODB DATABASEMongoDB for flexible and evolving data
Document-oriented NoSQL database for applications where schema evolves fast and data models naturally map to objects.
View technologyFrom the blog
Methods, costs and field notes to help you prepare your project.