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MongoDB for document-oriented workloads, content management, and flexible schemas.
We design and optimize MongoDB databases for document-oriented workloads. Our engineers handle schema design (embedding vs. referencing), aggregation pipeline optimization, index strategies, Atlas configuration, and migration from relational databases. We use MongoDB where its document model provides genuine advantages: content management, product catalogs, user profiles, and event stores.
MongoDB for truly document-oriented data with variable schemas (CMS, catalogs, event stores). PostgreSQL for relational data, complex queries, and transactions. We help you choose honestly, even if it means recommending PostgreSQL.
Proper index design, schema optimization (embedding vs. referencing), aggregation pipeline tuning, and connection pooling. We use explain() to analyze and optimize slow queries.
For most teams, yes. Atlas handles backups, monitoring, security, and scaling. Self-hosted MongoDB requires significant operational expertise. We configure Atlas with proper security, VPC peering, and backup policies.
Senior engineers, EU timezone, no lock-in. Tell us what you need and we will show you how we can help.