Databases · head to head
Apache Kafka vs EMQX

Apache Kafka
Databases
Open-source distributed event streaming platform
- From
- Free
- Rated
- -

EMQX
Databases
Erlang MQTT broker for large IoT fleets, relicensed to BSL with production free use limited to one node
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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; EMQX the move to Business Source Licence 1.1 at version 5.9 in May 2025 limits free production use to a single node, so the clustering that justifies choosing EMQX now requires a paid subscription from the second node onward.
- They diverge on capability: Apache Kafka covers Durable commit log, EMQX covers Erlang clustering.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Apache Kafka and EMQX actually diverge.
| Attribute | Apache Kafka | EMQX |
|---|---|---|
| Pricing model | Open source, no licence fee; managed services billed separately | Per month by connection and session volume |
| Platforms | Linux, Windows, macOS, Self-hosted, Docker | Linux, Docker, Kubernetes, Cloud, macOS |
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 Apache Kafka
- Durable commit log
- Horizontal scale
- Kafka Connect
- Kafka Streams
- Replication
- Low latency
Only in EMQX
- Erlang clustering
- MQTT 5.0 and QUIC
- Rule engine
- Data integration sinks
- Session persistence
- Multi protocol gateways
- Authentication and authorisation
- Dashboard and REST API
What people use each for
The jobs each tool is most often brought in to do.
Apache Kafka
- Moving events between services without point-to-point couplingnot EMQX
- Feeding analytics and warehouses from operational systems in near real timenot EMQX
- Replaying history to rebuild state after a consumer bugnot EMQX
- Buffering bursty producers ahead of slower downstream systemsnot EMQX
EMQX
- A connected vehicle platform needing millions of persistent MQTT sessions with QUIC for handover across mobile networksnot Apache Kafka
- An industrial operator routing sensor telemetry straight into TimescaleDB or Kafka without writing a consumer servicenot Apache Kafka
- An IoT product team that has outgrown a single Mosquitto instance and needs clustering and shared subscriptionsnot Apache Kafka
- A smart building deployment mixing MQTT, CoAP and LwM2M devices on one brokernot Apache Kafka
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
EMQX
- The move to Business Source Licence 1.1 at version 5.9 in May 2025 limits free production use to a single node, so the clustering that justifies choosing EMQX now requires a paid subscription from the second node onward.
- The relicensing arrived in a minor release, which caught users who had pinned to 5.x expecting Apache 2.0 terms and forced legal review of existing deployments.
- Running an Erlang/OTP cluster well requires operational knowledge most teams do not have, and diagnosing distribution, mnesia or memory issues means learning a runtime you use for nothing else.
- Enterprise pricing is quoted rather than published for the self-managed edition, so the cost of the clustered configuration you actually need is invisible until you talk to sales.
- The Serverless tier caps at around a thousand connections and shares infrastructure, which makes it a prototyping tier rather than a genuine small production option.
Pricing, plan by plan
Apache Kafka
Free- Apache KafkaFree
- Full platform
- Kafka Connect
- Kafka Streams
EMQX
Free- Open Source single nodeFree
- BSL 1.1 licence since version 5.9
- Free production use of one node only
- All former enterprise features visible
- ServerlessFree
- Free monthly quota then pay as you go
- Up to 1,000 connections
- 8 by 5 support
- Dedicated Flex$234/month
- Single tenant cluster
- Traffic allowance included
- 24/7 support
- Enterprise self-managed$undefined/year
- Deploy on premises, at the edge or in any cloud
- Clustering licensed
- 256 MB maximum message size
Which should you pick?
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.
Choose EMQX if
- You need erlang clustering.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Cloud, macOS.
- You also want mqtt 5.0 and quic.
Questions people ask
- Is Apache Kafka or EMQX better?
- Neither clearly leads. Apache Kafka starts at Free and EMQX at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Kafka or EMQX?
- Apache Kafka starts at Free and EMQX at Free.
- Does Apache Kafka or EMQX run on more platforms?
- Apache Kafka runs on Linux, Windows, macOS, Self-hosted, Docker. EMQX runs on Linux, Docker, Kubernetes, Cloud, macOS.
- Can I use Apache Kafka for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Kafka best used for?
- Apache Kafka is most often used for moving events between services without point-to-point coupling, feeding analytics and warehouses from operational systems in near real time, replaying history to rebuild state after a consumer bug, buffering bursty producers ahead of slower downstream systems. Of those, moving events between services without point-to-point coupling and feeding analytics and warehouses from operational systems in near real time are not what EMQX is typically brought in for.
- What can Apache Kafka do that EMQX cannot?
- Apache Kafka covers Durable commit log, Horizontal scale, Kafka Connect, Kafka Streams. EMQX covers Erlang clustering, MQTT 5.0 and QUIC, Rule engine, Data integration sinks.
Answered from the vendors’ own pages
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.
EMQX: Is EMQX still open source?
Not in the OSI sense since version 5.9. It is source-available under Business Source Licence 1.1, reverting to Apache 2.0 four years after each release.
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.
EMQX: Can I run a free cluster?
No. The additional use grant permits free production use of one node; clustering requires a commercial licence.
Apache Kafka: Who uses Kafka?
The project reports use by more than 80% of the Fortune 100, with over 5 million lifetime downloads.
EMQX: What changed for existing users?
Community and enterprise editions merged, so all features are now visible, but the licence terms tightened in the same minor release.
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.
EMQX: Which version is still Apache 2.0?
Releases before 5.9 remain under Apache 2.0, and each BSL release converts to Apache 2.0 four years after publication.
Related pages
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