Databases · head to head
Memcached vs MongoDB
The short version
- Each has a real cost: Memcached no persistence at all: restart a node and its cache is gone, which every design must assume; MongoDB 16 MB maximum document size limits large single objects
- They diverge on capability: Memcached covers In-memory key-value cache, MongoDB covers Document model.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Memcached and MongoDB actually diverge.
| Attribute | Memcached | MongoDB |
|---|---|---|
| Pricing model | Open source, no licence fee; managed cloud billed separately | Unknown |
| Platforms | Linux, macOS, Windows, Docker, Self-hosted | Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure) |
| Category | Databases | Technology |
| Founded | Unknown | 2007 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Memcached
- In-memory key-value cache
- Multithreaded
- Client-side sharding
- Predictable memory use
Only in MongoDB
- Document model
- Distributed architecture
- ACID transactions
- Real-time analytics
- Full-text search
- Time series data
- Geospatial queries
- Aggregation framework
What people use each for
The jobs each tool is most often brought in to do.
Memcached
- Caching expensive database query results to cut loadnot MongoDB
- Session storage where losing sessions on restart is acceptablenot MongoDB
- Fronting an API whose responses are costly and change slowlynot MongoDB
MongoDB
- Mobile applicationsnot Memcached
- Content managementnot Memcached
- Real-time analyticsnot Memcached
- IoT applicationsnot Memcached
- Gaming backendsnot Memcached
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Memcached
- No persistence at all: restart a node and its cache is gone, which every design must assume
- No replication or failover, so losing a node loses that share of the cache
- Only simple key-value, with none of the lists, sorted sets or streams Redis offers
- Values are capped at 1MB by default, which surprises teams caching large documents
MongoDB
- 16 MB maximum document size limits large single objects
- No native JOIN support for relational data operations
- Higher memory usage due to storing field names with each document
- Eventual consistency in distributed deployments can cause data stale reads
Pricing, plan by plan
Memcached
Free- MemcachedFree
- Full functionality
- Self-hosted
- No usage limits
MongoDB
Free- M0Free
- 512 MB storage
- Learning and exploration
- M2$9/month
- 2 GB storage
- Development and testing
- M5$25/month
- 5 GB storage
- M10+$56.94/month
- Dedicated clusters for production
Which should you pick?
Choose Memcached if
- You need in-memory key-value cache.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Self-hosted.
- You also want multithreaded.
Choose MongoDB if
- You need document model.
- You want to start without paying.
- You work on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
- You also want distributed architecture.
Questions people ask
- Is Memcached or MongoDB better?
- Neither clearly leads. Memcached starts at Free and MongoDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Memcached or MongoDB?
- Memcached starts at Free and MongoDB at Free.
- Does Memcached or MongoDB run on more platforms?
- Memcached runs on Linux, macOS, Windows, Docker, Self-hosted. MongoDB runs on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
- Can I use Memcached for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Memcached best used for?
- Memcached is most often used for caching expensive database query results to cut load, session storage where losing sessions on restart is acceptable, fronting an api whose responses are costly and change slowly. Of those, caching expensive database query results to cut load and session storage where losing sessions on restart is acceptable are not what MongoDB is typically brought in for.
- What can Memcached do that MongoDB cannot?
- Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use. MongoDB covers Document model, Distributed architecture, ACID transactions, Real-time analytics.
Answered from the vendors’ own pages
Memcached: Is Memcached free?
Yes, open source with no licence fee.
MongoDB: Does MongoDB offer a free tier?
Yes. MongoDB Atlas offers an M0 free tier with 512 MB storage for learning and exploration, plus paid options starting at $9/month for M2 with 2 GB storage.
SourceMemcached: Memcached or Redis?
Memcached is a pure cache: simpler, multithreaded and very predictable. Redis adds persistence, replication and rich data structures, which is why it is the default choice unless you specifically want a cache and nothing more.
MongoDB: Can I self-host MongoDB?
Yes. You can run MongoDB Community Edition on your own servers, or use MongoDB Enterprise Advanced for self-managed production deployments with enterprise features.
SourceMemcached: Does Memcached persist data?
No. Everything is in memory and lost on restart, by design.
MongoDB: What is the maximum document size in MongoDB?
Documents are limited to 16 MB. For documents exceeding this limit, you can use MongoDB's GridFS API to store files larger than the maximum size.
SourceMongoDB: Does MongoDB support ACID transactions?
Yes. MongoDB supports ACID transactions within a single document by default, and multi-document ACID transactions are available for replica sets and sharded clusters in MongoDB 4.0+.
SourceRelated pages
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- MongoDB vs RabbitMQ
- MongoDB vs EMQX
- MongoDB vs FaunaDB
- MongoDB vs Firebase Realtime Database
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- MongoDB vs Neo4j
- MongoDB vs Apache Kafka
- MongoDB vs Firestore
- MongoDB vs Redis
- MongoDB vs Supabase
- MongoDB vs Postgres
- MongoDB vs Notion
- MongoDB vs Terraform
- MongoDB vs Sentry
- MongoDB vs etcd
- MongoDB vs Linear
- MongoDB vs Monday.com
- MongoDB vs Microsoft Outlook
- MongoDB vs Plane
- MongoDB vs Asana
- MongoDB vs Alkami
- MongoDB vs Dashlane
- MongoDB vs Finxact
- MongoDB vs GitHub
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