Document-oriented NoSQL database for applications where schema evolves fast and data models naturally map to objects.
MongoDB stack built for results
What you get in the first weeks
They trust us
MongoDB stores data in BSON format, with no rigid schema. It is the right fit when business entities change often or map naturally to nested objects: product catalogs, user-generated content, dynamic configurations.
At Inprogress, we pick MongoDB on projects where schema flexibility matters more than strict relations. We use it with Mongoose for strong typing or the official driver when more control is needed.
No blocking migration at every change: the data model follows the pace of the product, not the other way around.
Powerful aggregation pipelines, built-in full-text and geospatial search, for complex business cases without third-party tools.
Automatic sharding and managed replica sets: the database grows with volume without rewriting the architecture.
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 data has a variable structure, few cross-relationships, and reads largely dominate writes.
For classic B2B SaaS with billing and workflows, PostgreSQL is often more suitable. We help you decide based on your case.
The classic trap is reproducing a relational schema in MongoDB with many cross-references. The result: slow queries and expensive aggregations.
We model based on read patterns, favoring controlled nesting and denormalization.
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 POSTGRESQL DATABASEPostgreSQL for consistent data and solid queries
The reference relational database for B2B SaaS, business software and applications where data integrity matters.
View technologyFrom the blog
Methods, costs and field notes to help you prepare your project.