MongoDB

Modelence App Builder

“Modelence backends are powered by MongoDB”

Gro

“We chose MongoDB for thegro.ai because modern outbound data isn’t clean or predictable — it’s dynamic, layered, and constantly evolving. From enriched lead profiles to campaign signals and CRM activity, we needed a flexible schema that could adapt as our product grows. MongoDB gives us the speed, scalability, and structure we need to handle complex AI-driven workflows without rigid constraints.”

“Our Tech Stack Node.js and express MongoDB Nginx Reactjs Nextjs Digitalocean”

Kuration AI

“Great support from the team here in Hong Kong. Vector search made easy!”

Brand.dev

“great for quick searching”

“All of the information relevant & essential for the developers is collected in a free MongoDb database.”

VoltAgent

“MongoDB’s native vector search makes it easy to keep structured data and embeddings together. It’s seamless to use within existing MongoDB clusters and scales well for production RAG setups.”

Migma AI

“Flexible document database built for modern apps.”

Ostivities

“MongoDB powers our data layer with flexibility and performance. Its document-based structure allows us to manage event, attendee, and organizer data efficiently while ensuring scalability as Ostivities continues to grow.”

Receiptor AI

“A flexible, scalable database that keeps the app running smoothly.”

Weavable

“MongoDB's flexible document model let us iterate on schema as fast as we shipped features. No migrations slowing us down, and the aggregation pipeline handles everything from analytics to complex joins.”

ZenVeil

“MongoDB Atlas made it easy to operate a production-grade database without worrying about backups, replication, or infrastructure management. The managed experience allowed us to focus on shipping product features instead of database administration.”

“We use Atlas to incorporate and we use Google Apps for our Gmail.”

Inventory Mate

“I tried extremely hard to use SQL databases and supabase... I simply could not get them to work well and did not have the time to learn what optimization mistakes I was making.. NoSQL was the way for me.”

Jupitrr AI

“MongoDB Atlas takes the hassle out of managing databases. Its flexible document model fits our ever-changing product needs, and with auto-scaling and backups built in, we don’t have to stress. Easy for devs, solid for production.”

LoadFast Snippet Expander

“This is where your valuable snippets are stored and encrypted.”

Overflow AI

“Flexible and fast, perfect for managing our constantly evolving data models.”

Skilled Partner

“Unlike PostgreSQL or MySQL, MongoDB provides dynamic schema, perfect for evolving data models.”

Bolt

“Flexible document database built for modern apps.”

Dopamine.chat

“Used for its flexible schema and fast iteration, making it ideal for rapidly evolving agent data models compared to more rigid SQL alternatives.”

JotMe

“Always a great way to start with a small NoSQL document database. MongoDB Atlas allows us to start with a free tier and flexibly adapt as we scale up our monitoring, traffic, and storage requirements. MongoDB also allows us to be quite flexible with our schema definition as our product changes a lot initially.”

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“Being able to change my schemas on the fly is super powerful for a new product which needs to move quickly”