We build with MongoDB

We use MongoDB to build flexible, scalable data layers for applications with evolving data models that support your business goals. From schema design and indexing strategy to replication and performance tuning, we create products designed to evolve with your needs.

DISCUSS YOUR PROJECT
  • Flexible Data Model

    We store nested data without rigid schema migrations.

  • Horizontal Scalability

    Scale across servers with sharding and automatic failover.

  • Powerful Query Engine

    Run aggregations, indexes, and full-text search on your data.

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BENEFITS OF MONGODB technology

We use MongoDB to model evolving data without rigid schemas, scale horizontally, and ensure high availability.

  • BUILD

    [01]
    • Design document schemas
    • Model nested data structures
    • Configure indexes and sharding
    • Set up replica sets
  • ENGAGE

    [02]
    • Power real-time queries
    • Support flexible content models
    • Run aggregation pipelines
    • Enable full-text search
  • GROW

    [03]
    • Scale horizontally with sharding
    • Add replica sets for uptime
    • Optimize query performance
    • Extend schemas without migrations

Our MongoDB Technology Stack

We combine MongoDB with Node.js, Express, and Mongoose for schema modeling, plus MongoDB Atlas for managed hosting, monitoring, and automated backups across your data layer.

Custom MongoDB development company

With our MongoDB development services, we build flexible data layers for content platforms, catalogs, and applications with rapidly evolving or deeply nested data, tailored to your boldest business goals. Having years of experience with MongoDB, our engineers harness its full potential to deliver scalable, resilient document databases across industries and company sizes. Whether it's migrating from a relational system or building a new data layer from scratch, we design schemas, indexes, and sharding strategies that grow with your product. Our range of MongoDB development services spans consulting, data modeling, development, and ongoing optimization. We work as your technical partner and ensure complete transparency and comfortable communication throughout the process, bringing deep expertise in document modeling and a pragmatic approach to performance tuning and problem-solving. All this to make sure your application stays fast, reliable, and easy to evolve as usage grows, and moves your business forward.

OUR MONGODB SERVICES

We build, modernize, and support MongoDB data layers around your product goals.

ACCELERATE FEATURE DEVELOPMENT

Your roadmap is growing faster than your team. Add senior engineering capacity and deliver more without sacrificing quality.

TAILORED TO YOUR NEEDS
MongoDB Data Modeling

Document schemas and migrations from relational or legacy systems, built around your access patterns.

TAILORED TO YOUR NEEDS
MongoDB Replication & Sharding

Replica sets and sharded clusters for high availability and horizontal scale across regions.

CONSISTENCY BY DESIGN
MongoDB Application Development

Full-stack applications built with Node.js, Express, and Mongoose on a flexible document store.

BUILT FOR GROWTH
MongoDB Modernization

Migrate legacy databases to MongoDB or optimize an existing collection design for cost and performance.

BUILT FOR GROWTH

Meet our MongoDB experts

A curated selection of senior specialists currently available for new engagements.

Andrew V.
Andrew V.πŸ‡¨πŸ‡¦
Senior Python Engineer
previously at
Cisco
Marianna Y.
Marianna Y.πŸ‡ΊπŸ‡¦
Senior Software Engineer | Team Lead | AI
previously at
NDA
Shweta S.
Shweta S.πŸ‡ΊπŸ‡Έ
Lead React frontend engineer
previously at
NDA
Yurii
YuriiπŸ‡ΊπŸ‡¦
DevOps Engineer
previously at
Alexandr G.πŸ‡ΊπŸ‡¦
Senior Node Developer
previously at
NDA
Andrew V.
Andrew V.πŸ‡¨πŸ‡¦
Senior Python Engineer
previously at
Cisco

Related Technologies

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Frequently Asked Questions

Common questions about how we use MongoDB and what it can bring to your project. Have a specific requirement?

How does SoftDoes use MongoDB?

We use MongoDB to build flexible data layers for content platforms, catalogs, and applications with rapidly evolving or deeply nested data. We design schemas and indexes around your application's real access patterns.

What types of applications do you build with MongoDB?

We build content management systems, product catalogs, real-time analytics dashboards, and applications where the data structure changes frequently as the product evolves.

Do you use MongoDB Atlas for hosting?

Yes. We typically deploy on MongoDB Atlas for managed hosting, automated backups, and monitoring, though we can also work with self-hosted MongoDB when your infrastructure requires it.

Can MongoDB integrate with our existing systems?

Yes. MongoDB pairs well with Node.js and Express as part of the MERN stack, and can also sit alongside existing relational databases as part of a broader architecture.

Do you migrate data from relational databases to MongoDB?

Yes. We assess your data relationships and access patterns, design a document schema that fits how your application queries data, and migrate with minimal downtime.

When should we use MongoDB instead of a relational database?

MongoDB fits well when your data structure evolves frequently, has deeply nested relationships, or needs to scale horizontally. For complex multi-table transactions or strict relational integrity, a relational database may still be the better fit.

How do you decide whether MongoDB fits a project?

We look at your data structure, query patterns, growth expectations, and team experience, then confirm MongoDB is the right fit before starting development.

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U.S.-Based

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