Databases · head to head
Amazon Aurora vs Memcached

Amazon Aurora
Databases
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Memcached no persistence at all: restart a node and its cache is gone, which every design must assume
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Memcached covers In-memory key-value cache.
Where they differ
Only the attributes on which Amazon Aurora and Memcached actually diverge.
| Attribute | Amazon Aurora | Memcached |
|---|---|---|
| Pricing model | usage-based | Open source, no licence fee; managed cloud billed separately |
| Platforms | AWS Cloud | Linux, macOS, Windows, Docker, Self-hosted |
| Founded | 2006 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 Amazon Aurora
- MySQL/PostgreSQL Compatible
- 5x MySQL Performance
- Auto-scaling Storage
- Global Database
- Serverless v2
- Multi-master
- Fault Tolerant
- AWS Lambda
Only in Memcached
- In-memory key-value cache
- Multithreaded
- Client-side sharding
- Predictable memory use
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Memcached
- Data storagenot Memcached
- Application backendnot Memcached
- Reportingnot Memcached
- Data analyticsnot Memcached
Memcached
- Caching expensive database query results to cut loadnot Amazon Aurora
- Session storage where losing sessions on restart is acceptablenot Amazon Aurora
- Fronting an API whose responses are costly and change slowlynot Amazon Aurora
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amazon Aurora
- Aurora requires AWS ecosystem knowledge and integration with other AWS services
- Pricing can become expensive with high-traffic applications using many read replicas
- Limited support for non-relational data types compared to NoSQL alternatives
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
Pricing, plan by plan
Amazon Aurora
Free- Serverless v2$0.12/hour
- Auto-scaling
- Pay per ACU
- Instant scaling
- Provisioned$29/month
- Dedicated instances
- Predictable performance
- Reserved capacity
Memcached
Free- MemcachedFree
- Full functionality
- Self-hosted
- No usage limits
Which should you pick?
Choose Amazon Aurora if
- You need mysql/postgresql compatible.
- You want to start without paying.
- You work on AWS Cloud.
- You also want 5x mysql performance.
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.
Questions people ask
- Is Amazon Aurora or Memcached better?
- Neither clearly leads. Amazon Aurora starts at Free and Memcached at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Memcached?
- Amazon Aurora starts at Free and Memcached at Free.
- Does Amazon Aurora or Memcached run on more platforms?
- Amazon Aurora runs on AWS Cloud. Memcached runs on Linux, macOS, Windows, Docker, Self-hosted.
- Can I use Amazon Aurora for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Amazon Aurora best used for?
- Amazon Aurora is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Memcached is typically brought in for.
- What can Amazon Aurora do that Memcached cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use.
Answered from the vendors’ own pages
Amazon Aurora: Is Amazon Aurora compatible with MySQL and PostgreSQL?
Yes, Amazon Aurora offers MySQL and PostgreSQL compatibility with full compatibility to their open-source counterparts, allowing you to migrate existing databases with standard tools.
SourceMemcached: Is Memcached free?
Yes, open source with no licence fee.
Amazon Aurora: What uptime SLA does Amazon Aurora provide?
Aurora is designed for up to 99.99% single-region uptime and 99.999% multi-region uptime with automatic failover.
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.
Amazon Aurora: How much does Amazon Aurora cost?
Aurora uses serverless, usage-based pricing where you pay only for consumed capacity. Typical pricing ranges from $50-70 per month for minimal setups to $400-600 per month for small production clusters.
SourceMemcached: Does Memcached persist data?
No. Everything is in memory and lost on restart, by design.
Amazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
SourceAmazon Aurora: How many read replicas does Aurora support?
Aurora supports up to 15 low-latency read replicas for distributing read traffic across your application.
SourceRelated pages
More on Amazon Aurora
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