We build production-grade MongoDB solutions - schema design, aggregation pipelines, Atlas deployment - engineered for performance and reliability.
MongoDB Expertise
Full-spectrum MongoDB development. From schema design to Atlas deployment - we build data layers that scale with your business.
Schema Design & Modeling
We design document schemas that match your access patterns - embedding vs. referencing, polymorphic patterns, and bucket strategies for optimal read/write performance.
Aggregation Pipelines
Complex data transformations, analytics, and reporting through MongoDB's aggregation framework. We build pipelines that replace entire ETL workflows.
Atlas Cloud & Security
MongoDB Atlas deployment with field-level encryption, role-based access control, audit logging, and VPC peering. Your data is protected at every layer.
Change Streams & Real-Time
Live data feeds using MongoDB Change Streams. Power real-time dashboards, notifications, and event-driven architectures without polling.
Index Optimization
Compound indexes, text search indexes, geospatial indexes, and TTL indexes - all tuned with explain plans to ensure sub-millisecond query performance.
Migration & Scaling
Zero-downtime migrations from SQL or other NoSQL databases. Horizontal scaling with sharding, replica sets, and read preference tuning for global distribution.
The Rabbit Builds Data Layer
Clean schemas, optimized queries, typed models. Here's how we work with MongoDB at Rabbit Builds.
Typed Mongoose Model
Strongly-typed Mongoose model with built-in validation, virtuals, and methods.
import { Schema, model } from 'mongoose';
interface IProduct {
name: string;
price: number;
category: string;
inStock: boolean;
}
const productSchema = new Schema<IProduct>({
name: { type: String, required: true,
index: true, trim: true },
price: { type: Number, min: 0 },
category: { type: String, enum: [
'electronics', 'clothing', 'books'
]},
inStock: { type: Boolean, default: true },
}, { timestamps: true });
productSchema.index({ category: 1, price: -1 });
export const Product = model(
'Product', productSchema
);Aggregation Pipeline
Analytics pipeline computing revenue by category with pagination.
export async function revenueByCategory(
startDate: Date, limit = 10
) {
return Order.aggregate([
{ $match: {
createdAt: { $gte: startDate },
status: 'completed',
}},
{ $unwind: '$items' },
{ $group: {
_id: '$items.category',
totalRevenue: { $sum: '$items.total' },
orderCount: { $sum: 1 },
avgOrderValue: { $avg: '$items.total' },
}},
{ $sort: { totalRevenue: -1 } },
{ $limit: limit },
{ $project: {
category: '$_id',
totalRevenue: 1,
orderCount: 1,
avgOrderValue: { $round: ['$avgOrderValue', 2] },
}},
]);
}The MongoDB Tech Stack
We pair MongoDB with the best tools in the ecosystem - ODMs, cloud platforms, caching, and observability - for data layers that are fast and reliable.
From Schema to Production
A proven data engineering process refined over 100+ MongoDB projects. Structured, optimized, and reliable.
Data Modeling
Week 1We analyze your data access patterns, relationships, and growth projections. Then design document schemas optimized for your specific read/write workloads.
Database Build
Week 2-3Collections, schemas, indexes, and validation rules implemented. Mongoose or Prisma models with TypeScript types matching your data contracts.
API Integration
Week 4-5Connect MongoDB to your application layer. Aggregation pipelines, change streams, transaction support, and full-text search wired up and tested.
Performance & Security
Week 6Index tuning with explain plans, connection pooling, query optimization, field-level encryption, RBAC, and security audit.
Deploy & Monitor
Week 7+Atlas cluster deployment with automated backups, monitoring dashboards, alerting, and ongoing optimization. Your data is always safe and fast.
Investment Packages
Clear pricing with no surprises. Choose the package that fits your MongoDB project needs.
Mongo Starter
Perfect for MVPs and simple data layers
- Up to 10 collections
- Schema design & modeling
- Mongoose integration
- Basic indexing
- Atlas deployment
- 2 weeks support
Mongo Pro
For growing products with complex data
- Up to 30 collections
- Advanced aggregation pipelines
- Change streams & real-time
- Full-text search (Atlas Search)
- Performance optimization
- Data migration support
- 3 months support
Mongo Enterprise
Large-scale data architectures
- Unlimited collections
- Sharded cluster architecture
- Multi-region deployment
- Field-level encryption
- Custom analytics pipelines
- Priority support
- SLA guarantee
Need something custom? Let's talk about your specific requirements.
Common Questions
Everything you need to know about our MongoDB development services.
Why choose MongoDB over a relational database?
MongoDB excels when your data has variable schemas, nested structures, or needs horizontal scaling. It's ideal for content management, e-commerce catalogs, real-time analytics, IoT, and any domain where data shapes evolve. If you need rigid relational integrity across many tables, SQL may be better - we'll advise honestly.
How does Rabbit Builds approach MongoDB differently?
We don't just throw documents into collections. Every project starts with access-pattern-driven schema design, compound index strategies based on explain() analysis, and proper use of embedding vs. referencing. We treat MongoDB as a serious data platform - with typed models, validation, transactions, and monitoring from day one.
Can you migrate our existing SQL database to MongoDB?
Yes. We've done dozens of SQL-to-MongoDB migrations. We analyze your relational schema, redesign it for document-oriented access patterns, build ETL pipelines, validate data integrity post-migration, and handle the cutover with zero downtime using blue-green deployments.
How do you ensure MongoDB performance at scale?
Index tuning with explain plans, connection pooling, read replicas for heavy read workloads, caching hot queries in Redis, and sharding for horizontal distribution. We monitor slow queries, set up Atlas Performance Advisor alerts, and optimize continuously.
Is MongoDB Atlas secure enough for enterprise use?
Absolutely. Atlas provides encryption at rest and in transit, field-level encryption for sensitive data (HIPAA/PCI), VPC peering, IP whitelisting, audit logging, and SOC 2 / ISO 27001 compliance. We configure all security features and conduct thorough access reviews.
Let's Build Your
MongoDB Solution
Stop fighting slow queries and schema headaches. Get a MongoDB data layer that's designed for your access patterns and built for scale.
Let's Build Together
Ready to start your project? Get in touch and let's bring your vision to life.
Send us a message
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Location
We work remotely worldwide
Global Remote Team