Flexible document database ideal for rapidly evolving data models, delivering horizontal scalability for high-volume applications.
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MongoDB stores data as JSON-like documents that can vary in structure. No rigid schemas mean your application can evolve rapidly, add new fields, nest objects, and store arrays without costly schema migrations or application downtime.
Companies using MongoDB worldwide
Downloads, most popular NoSQL database
Scale with horizontal sharding
WE WILL HELP YOU
Let's check what features we can integrate into your custom solution. Didn't find them on our list? Contact us personally, and we will offer you a custom set of features for your application development project.
We build applications with MongoDB as the primary data store, using Mongoose for Node.js, PyMongo for Python, or the native MongoDB drivers, with proper schema design, indexing, and aggregation pipelines.
We design MongoDB schemas optimised for your application's query patterns, balancing embedding vs. referencing, managing document growth, and structuring indexes for sub-millisecond read performance.
We set up MongoDB Atlas with optimal cluster sizing, replication, backup policies, and network security. We also migrate your existing databases to Atlas with minimal downtime and full data validation.
We analyse slow queries, create compound indexes, implement sharding strategies, and configure replica sets to keep your MongoDB cluster fast and resilient as data volume and traffic grow.
We build event-driven architectures using MongoDB change streams, aggregation pipelines, and Atlas triggers, enabling real-time notifications, data synchronisation, and analytics in your application.
