About · MongoDB
MongoDB.
A document database with flexible schemas, horizontal scaling, and a polished managed offering.
Primary use cases
- · Document storage
- · Online transaction processing (OLTP)
Index Head-to-Head
§ Head-to-Head
MongoDB vs Redis.
A document database with flexible schemas, horizontal scaling, and a polished managed offering. · An in-memory data structure store used as a cache, queue, and pub/sub broker.
Compare any pair
13 tools · 78 pairs
vs
§ Quick Verdict
Pick MongoDB if you need document storage or online transaction processing (oltp).
Pick Redis if you need caching, session storage, pub/sub, queues or key-value lookups.
§ At a Glance
- Document
- Category
- Key-value
- 2009
- First released
- 2009
- SSPL
- License
- AGPLv3 / SSPL / RSAL
- C++
- Written in
- C
- Yes
- Self-hostable
- Yes
- Yes
- Free tier
- Yes
- 28,323
- GitHub stars
- 74,403
- yesterday
- Last push
- 4d ago
- —
- Latest release
- 8.6.3
§ Use Case Coverage
● fits · ○ not a primary fit
Where each one fits.
- ○ ●
Caching
In-memory storage to relieve a slower database.
- ● ○
Document storage
JSON-shaped, self-contained records.
- ○ ●
Key-value lookups
Simple GET/SET of small values at high QPS.
- ● ○
Online transaction processing (OLTP)
Application traffic — reads and writes from a web app.
- ○ ●
Pub/sub
Message broadcasting between services.
- ○ ●
Queues
Lightweight background-job queues.
- ○ ●
Session storage
Per-user state in an expireable, fast store.
MongoDB Redis
Coverage reflects each tool's primary, well-supported use cases — not every workload it can technically handle. Tools listed as missing a case can often serve it with extra work, but a tool designed for it will be a better default.
About · Redis
Redis.
An in-memory data structure store used as a cache, queue, and pub/sub broker.
Primary use cases
- · Caching
- · Session storage
- · Pub/sub
- · Queues
- · Key-value lookups
§ Also Worth Comparing
6 pairs