Databases · head to head
Memcached vs Apache Kafka

Apache Kafka
Databases
Open-source distributed event streaming platform
- From
- Free
- Rated
- -
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; Apache Kafka operationally heavy to self-host: brokers, storage, rebalancing and upgrades are a standing job, which is why managed Kafka is a large market
- They diverge on capability: Memcached covers In-memory key-value cache, Apache Kafka covers Durable commit log.
Where they differ
Only the attributes on which Memcached and Apache Kafka actually diverge.
| Attribute | Memcached | Apache Kafka |
|---|---|---|
| Pricing model | Open source, no licence fee; managed cloud billed separately | Open source, no licence fee; managed services billed separately |
| Platforms | Linux, macOS, Windows, Docker, Self-hosted | Linux, Windows, macOS, Self-hosted, Docker |
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 Memcached
- In-memory key-value cache
- Multithreaded
- Client-side sharding
- Predictable memory use
Only in Apache Kafka
- Durable commit log
- Horizontal scale
- Kafka Connect
- Kafka Streams
- Replication
- Low latency
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 Apache Kafka
- Session storage where losing sessions on restart is acceptablenot Apache Kafka
- Fronting an API whose responses are costly and change slowlynot Apache Kafka
Apache Kafka
- Moving events between services without point-to-point couplingnot Memcached
- Feeding analytics and warehouses from operational systems in near real timenot Memcached
- Replaying history to rebuild state after a consumer bugnot Memcached
- Buffering bursty producers ahead of slower downstream systemsnot 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
Apache Kafka
- Operationally heavy to self-host: brokers, storage, rebalancing and upgrades are a standing job, which is why managed Kafka is a large market
- Overkill for straightforward job queues, where a simpler broker is easier to run and reason about
- Ordering guarantees hold per partition, not per topic, and getting partitioning wrong is a common and expensive design mistake
- The ecosystem is fragmented across the Apache project and vendor distributions, so documentation and tooling advice often assume a particular distribution
Pricing, plan by plan
Memcached
Free- MemcachedFree
- Full functionality
- Self-hosted
- No usage limits
Apache Kafka
Free- Apache KafkaFree
- Full platform
- Kafka Connect
- Kafka Streams
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 Apache Kafka if
- You need durable commit log.
- You want to start without paying.
- You work on Linux, Windows, macOS, Self-hosted, Docker.
- You also want horizontal scale.
Questions people ask
- Is Memcached or Apache Kafka better?
- Neither clearly leads. Memcached starts at Free and Apache Kafka at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Memcached or Apache Kafka?
- Memcached starts at Free and Apache Kafka at Free.
- Does Memcached or Apache Kafka run on more platforms?
- Memcached runs on Linux, macOS, Windows, Docker, Self-hosted. Apache Kafka runs on Linux, Windows, macOS, Self-hosted, Docker.
- 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 Apache Kafka is typically brought in for.
- What can Memcached do that Apache Kafka cannot?
- Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use. Apache Kafka covers Durable commit log, Horizontal scale, Kafka Connect, Kafka Streams.
Answered from the vendors’ own pages
Memcached: Is Memcached free?
Yes, open source with no licence fee.
Apache Kafka: Is Apache Kafka free?
Yes. Kafka is open source under the Apache License v2 with no licence fee. Costs come from the infrastructure you run it on, or from a managed service such as Confluent Cloud.
Memcached: 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.
Apache Kafka: How is Kafka different from a message queue?
A queue usually removes a message once it is consumed. Kafka keeps an ordered, durable log, so consumers track their own position and history can be replayed — which is what makes rebuilding state after a bug possible.
Memcached: Does Memcached persist data?
No. Everything is in memory and lost on restart, by design.
Apache Kafka: Who uses Kafka?
The project reports use by more than 80% of the Fortune 100, with over 5 million lifetime downloads.
Apache Kafka: Do I need to run Kafka myself?
No. Self-hosting is the operationally expensive option; managed services such as Confluent Cloud run the brokers for you and bill on throughput and storage instead.
Related pages
More on Apache Kafka
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