SQL or NoSQL, which should we use?

PostgreSQL/MySQL for structured data with complex queries. MongoDB for flexible schemas. Redis for caching. We often use multiple databases in a single system, each optimized for its workload.

How do you handle database scaling?

Read replicas, sharding, connection pooling, query optimization, and proper indexing. For extreme scale, we use distributed databases like CockroachDB or DynamoDB.

Database

MongoDB

A NoSQL document database designed for flexibility, scalability, and developer productivity.

Use Cases

Document storage

Our team has deep expertise building document storage with MongoDB.

Content management

Our team has deep expertise building content management with MongoDB.

Real-time analytics

Our team has deep expertise building real-time analytics with MongoDB.

IoT data

Our team has deep expertise building iot data with MongoDB.

Questions? We've Got Answers

Your MongoDB Fit Questions, Answered.

Direct answers on the use cases where MongoDB's document model still beats relational stores and where PostgreSQL JSONB has caught up.

Featured Answer

When does MongoDB genuinely fit better than PostgreSQL or other relational databases?

MongoDB fits specific use cases where its document model produces clear advantages. Content management systems where documents map naturally to objects and editorial workflows. IoT and telemetry data where the schema flexibility handles diverse device payloads. Catalog and product data where deep nested structures fit document storage. Event logging where high write throughput and schema flexibility both matter. For typical business applications with relational data and transactional requirements, PostgreSQL usually fits better. The 2026 reality is that PostgreSQL JSONB handles many cases that historically required MongoDB.

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