NoSQL database design is fundamentally different from relational design, and getting it wrong leads to expensive queries, poor performance, and painful restructuring.
NoSQL database design is fundamentally different from relational design, and getting it wrong leads to expensive queries, poor performance, and painful restructuring. System Strats designs Firestore and Realtime Database schemas optimized for your application's read/write patterns, query requirements, and scaling needs.
Schema design optimized for your query patterns
Denormalization strategies for read performance
Subcollection and collection group architecture
Composite index planning for complex queries
We design your Firebase architecture. We plan for real-time features, authentication, and scalability.
We set up Firebase projects, configure Firestore or Realtime Database, implement authentication, and build serverless functions.
We integrate Firebase SDKs into your applications. We implement real-time sync, offline support, and authentication flows.
We optimize database queries and functions. We set up monitoring and error tracking for reliability and debugging.
We've built Firebase solutions for applications of various scales. We understand the platform deeply and how to architect for scale. We reduce infrastructure complexity so teams can focus on features.
Common questions about Firebase Database Design, and how System Strats can help.
NoSQL design optimizes for query patterns rather than normalization. Data is often duplicated across documents to avoid expensive joins. We design schemas based on how your application actually reads and writes data.
Firestore doesn't have joins, so we use subcollections for parent-child relationships, document references for lookups, and strategic denormalization for data that's frequently queried together.
Yes. We audit your current schema, identify performance bottlenecks and structural issues, design an improved schema, and build migration scripts to transform your data.
We design schemas with query patterns in mind, create proper composite indexes, use collection groups for cross-subcollection queries, and implement pagination to control read costs.
Tell us about your project and we'll get back to you within 24 hours.