Databases · head to head
Apache Druid vs EMQX

Apache Druid
Databases
Real-time analytics database for sub-second OLAP queries
- 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 Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; 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 Druid covers Real-time Ingestion, EMQX covers Erlang clustering.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Apache Druid and EMQX actually diverge.
| Attribute | Apache Druid | EMQX |
|---|---|---|
| Pricing model | open-source | Per month by connection and session volume |
| Platforms | Docker, Kubernetes, Native deployment (Java-based) | Linux, Docker, Kubernetes, Cloud, macOS |
| Founded | 1999 | 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 Apache Druid
- Real-time Ingestion
- Sub-second Queries
- Column-oriented Storage
- Streaming Integration
- Approximate Algorithms
- Flexible Schemas
- Time-based Partitioning
- Kafka
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 Druid
- Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot EMQX
- Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not EMQX
- Time-series and event analysis at massive scale with columnar storage efficiencynot EMQX
EMQX
- A connected vehicle platform needing millions of persistent MQTT sessions with QUIC for handover across mobile networksnot Apache Druid
- An industrial operator routing sensor telemetry straight into TimescaleDB or Kafka without writing a consumer servicenot Apache Druid
- An IoT product team that has outgrown a single Mosquitto instance and needs clustering and shared subscriptionsnot Apache Druid
- A smart building deployment mixing MQTT, CoAP and LwM2M devices on one brokernot Apache Druid
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Druid
- Open-source offering lacks high-availability, distributed architecture, and enterprise security features
- Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
- High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment
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 Druid
FreeNo published plan breakdown. See the Apache Druid review.
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 Druid if
- You need real-time ingestion.
- You want to start without paying.
- You work on Docker, Kubernetes, Native deployment (Java-based).
- You also want sub-second queries.
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 Druid or EMQX better?
- Neither clearly leads. Apache Druid 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 Druid or EMQX?
- Apache Druid starts at Free and EMQX at Free.
- Does Apache Druid or EMQX run on more platforms?
- Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). EMQX runs on Linux, Docker, Kubernetes, Cloud, macOS.
- Can I use Apache Druid for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Druid best used for?
- Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what EMQX is typically brought in for.
- What can Apache Druid do that EMQX cannot?
- Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. EMQX covers Erlang clustering, MQTT 5.0 and QUIC, Rule engine, Data integration sinks.
Answered from the vendors’ own pages
Apache Druid: Is Apache Druid free to use?
Apache Druid is an open-source project with no licensing fees. It is licensed under CC BY-SA 4.0, and the Druid name and logo are trademarks of The Apache Software Foundation.
SourceEMQX: 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 Druid: Can I use Apache Druid for commercial purposes?
Yes, Apache Druid is open-source software available for commercial use at no cost. The CC BY-SA 4.0 license permits commercial deployment.
SourceEMQX: Can I run a free cluster?
No. The additional use grant permits free production use of one node; clustering requires a commercial licence.
Apache Druid: Where do I find pricing for commercial support or services?
No pricing or support tiers are published on the Apache Druid homepage. For commercial support options, contact the Apache Druid community or consult additional resources beyond the project website.
SourceEMQX: 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.
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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