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

Redis

An in-memory data store used as a database, cache, message broker, and streaming engine.

Use Cases

Caching

Our team has deep expertise building caching with Redis.

Session management

Our team has deep expertise building session management with Redis.

Pub/Sub messaging

Our team has deep expertise building pub/sub messaging with Redis.

Real-time leaderboards

Our team has deep expertise building real-time leaderboards with Redis.

Questions? We've Got Answers

Your Redis Architecture Questions, Answered.

Direct answers on which workloads Redis genuinely solves better than a relational store and where treating Redis as primary storage backfires.

Featured Answer

What does Redis actually solve that a relational database cannot solve faster?

Redis solves three problem categories that relational databases handle poorly. Caching frequently accessed data with sub-millisecond response times that disk-based databases cannot match. Real-time leaderboards, counters, and session storage that need millions of operations per second. Pub/sub messaging and streams for real-time features that databases were not designed for. Redis is not a replacement for relational databases but a complement that handles specific workloads better. Using Redis as primary storage often creates the durability concerns that purpose-built databases solve.

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