Fractional CTO for MongoDB
MongoDB is the leading document database, offering flexibility and scalability. We help companies design effective schemas, optimize queries, and scale MongoDB for production workloads....
Expert MongoDB Leadership
MongoDB is the leading document database, offering flexibility and scalability. We help companies design effective schemas, optimize queries, and scale MongoDB for production workloads.
Initial schema: 1-2 weeks, Migration: 4-8 weeks, Optimization: 2-4 weeks
$15,000-$60,000
Why Choose Us
- Flexible schema for evolving data
- Horizontal scalability with sharding
- Rich query language and aggregation
- Atlas provides excellent managed service
- Great for rapid development
Common MongoDB Challenges We Solve
Schema design decisions (embedded vs referenced)
Query performance optimization
Aggregation pipeline complexity
Index strategy and optimization
Data modeling for specific access patterns
Migration from SQL databases
Scaling with sharding vs replica sets
Managing MongoDB Atlas costs
MongoDB Best Practices
Design schemas based on query patterns, not relational normalization
Use embedding for 1:1 and 1:few relationships
Use references for 1:many and many:many relationships
Index fields used in queries and sorting
Use projection to retrieve only needed fields
Implement proper schema validation
Use aggregation pipelines for complex queries
Monitor and optimize with explain()
Complementary Technologies
Scaling Considerations
Use replica sets for high availability. Sharding for horizontal scaling when single replica set isn't sufficient.
Security Considerations
Enable authentication, implement proper access control, encrypt at rest and in transit, use Atlas network security.
Performance Optimization
Proper indexing is critical, use covered queries, optimize aggregation pipelines, use Atlas Performance Advisor.
Success Story
Series A content platform with varied content types
Challenge
Rigid SQL schema couldn't accommodate diverse content types. Schema migrations were painful and slow.
Solution
Fractional CTO designed MongoDB schema with proper embedding patterns, migrated data, implemented Atlas search for content discovery.
Result
Adding new content types now takes hours instead of days. Search performance improved 5x. Developer velocity increased 40%.
Timeline: 6 weeks
Recommended Team Structure
Document database requires different thinking than SQL. Ensure team understands denormalization trade-offs.
MongoDB Solutions by Industry
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