An honest, experience-based comparison of Redis and MongoDB for nosql databases projects. We have shipped production systems with both — here is what we learned.
Redis vs MongoDB — quick verdict: Redis is an in-memory data store for caching, sessions, and real-time data. MongoDB is a document database for persistent application data. They serve different purposes and are often used together. ZTABS has shipped production systems with both Redis and MongoDB. Below is our honest, experience-based comparison. Need help choosing? Get a free consultation →
3
Redis Wins
0
Ties
3
MongoDB Wins
Redis
10/10
MongoDB
8/10
Redis stores data in memory, delivering sub-millisecond latency. MongoDB reads from disk (with caching), providing single-digit millisecond latency for most queries.
Redis
6/10
MongoDB
10/10
MongoDB is designed for durable persistence. Redis can persist data (RDB/AOF) but is primarily an in-memory store — data loss is possible during failures.
Redis
4/10
MongoDB
9/10
MongoDB supports rich queries, aggregation pipelines, and text search. Redis has basic key-value operations and data structure commands — not designed for complex querying.
Redis
10/10
MongoDB
4/10
Redis is the industry standard for caching. Its TTL, eviction policies, and in-memory speed make it unbeatable. MongoDB is not designed for caching workloads.
Redis
10/10
MongoDB
6/10
Redis pub/sub, Streams, and sorted sets are purpose-built for real-time features: chat, leaderboards, rate limiting, and session management.
Redis
4/10
MongoDB
9/10
Redis stores everything in RAM, which is expensive. MongoDB uses disk storage, which is 10-100x cheaper per GB. Redis is not economical for large datasets.
Redis is the industry standard for caching API responses with TTL-based expiration.
MongoDB provides durable, queryable document storage for application data.
Redis's in-memory speed and TTL support make it perfect for session storage.
MongoDB's document model and rich queries are ideal for product catalogs and content.
The best technology choice depends on your specific context: team skills, project timeline, scaling requirements, and budget. We have built production systems with both Redis and MongoDB — talk to us before committing to a stack.
We do not believe in one-size-fits-all technology recommendations. Every project we take on starts with understanding the client's constraints and goals, then recommending the technology that minimizes risk and maximizes delivery speed.
Our senior architects have shipped 500+ projects with both technologies. Get a free consultation — we will recommend the best fit for your specific project.