Databases · head to head
Dremio vs EMQX

Dremio
Databases
SQL query engine and lakehouse layer over Iceberg tables in object storage
- 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: Dremio reflections consume compute and storage to build and refresh continuously, so a team that enables them widely discovers that background maintenance rather than user queries drives the DCU bill.; 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: Dremio covers Arrow-based execution, EMQX covers Erlang clustering.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dremio and EMQX actually diverge.
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 Dremio
- Arrow-based execution
- Reflections
- Semantic layer
- Iceberg catalogue
- Federated queries
- Autonomous management
- Fine-grained access control
- BI connectors
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.
Dremio
- A company with petabytes of Parquet in S3 that wants BI dashboards without duplicating it into a warehousenot EMQX
- A data platform team standardising on Apache Iceberg and needing a SQL engine plus catalogue that does not lock the tables innot EMQX
- An analytics group accelerating slow lake queries with Reflections instead of hand-built aggregate tablesnot EMQX
- A regulated enterprise that must keep data on premises but wants a modern lakehouse SQL layernot EMQX
EMQX
- A connected vehicle platform needing millions of persistent MQTT sessions with QUIC for handover across mobile networksnot Dremio
- An industrial operator routing sensor telemetry straight into TimescaleDB or Kafka without writing a consumer servicenot Dremio
- An IoT product team that has outgrown a single Mosquitto instance and needs clustering and shared subscriptionsnot Dremio
- A smart building deployment mixing MQTT, CoAP and LwM2M devices on one brokernot Dremio
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dremio
- Reflections consume compute and storage to build and refresh continuously, so a team that enables them widely discovers that background maintenance rather than user queries drives the DCU bill.
- Self-managing Dremio on Kubernetes requires real platform engineering capacity for tuning executors, memory and coordinator sizing, and it is not comparable in effort to running a managed warehouse.
- The Community Edition lacks the security and governance features most enterprises require, so the free tier is a trial path rather than a viable production option for regulated buyers.
- Dremio Cloud is AWS-first, which leaves Azure and Google Cloud customers on the self-managed path with the operational burden that entails.
- Query performance without Reflections on raw, poorly laid out files is often unremarkable, so the promise of querying the lake as is depends on file layout work you still have to do.
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
Dremio
Free- Community EditionFree
- Self-managed on your own hardware
- SQL engine and semantic layer
- No vendor support
- Dremio Cloud$0.2/hour
- Billed at $0.20 per Dremio Compute Unit
- Includes query execution, Reflections and background processing
- 400 dollar trial credit for 30 days
- Enterprise$undefined/year
- Self-managed on Kubernetes, on premises or any cloud
- Enterprise security, SSO and governance
- Vendor support with SLA
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 Dremio if
- You need arrow-based execution.
- You want to start without paying.
- You work on Linux, Kubernetes, Cloud, Docker.
- You also want reflections.
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 Dremio or EMQX better?
- Neither clearly leads. Dremio 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, Dremio or EMQX?
- Dremio starts at Free and EMQX at Free.
- Does Dremio or EMQX run on more platforms?
- Dremio runs on Linux, Kubernetes, Cloud, Docker. EMQX runs on Linux, Docker, Kubernetes, Cloud, macOS.
- Can I use Dremio for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Dremio best used for?
- Dremio is most often used for a company with petabytes of parquet in s3 that wants bi dashboards without duplicating it into a warehouse, a data platform team standardising on apache iceberg and needing a sql engine plus catalogue that does not lock the tables in, an analytics group accelerating slow lake queries with reflections instead of hand-built aggregate tables, a regulated enterprise that must keep data on premises but wants a modern lakehouse sql layer. Of those, a company with petabytes of parquet in s3 that wants bi dashboards without duplicating it into a warehouse and a data platform team standardising on apache iceberg and needing a sql engine plus catalogue that does not lock the tables in are not what EMQX is typically brought in for.
- What can Dremio do that EMQX cannot?
- Dremio covers Arrow-based execution, Reflections, Semantic layer, Iceberg catalogue. EMQX covers Erlang clustering, MQTT 5.0 and QUIC, Rule engine, Data integration sinks.
Answered from the vendors’ own pages
Dremio: How is Dremio Cloud billed?
At 0.20 US dollars per Dremio Compute Unit, which counts query execution, Reflection building and platform overhead, not just user queries.
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.
Dremio: Is there a free version?
Yes, a Community Edition you self-manage, but it omits the enterprise security and governance features and comes with no support.
EMQX: Can I run a free cluster?
No. The additional use grant permits free production use of one node; clustering requires a commercial licence.
Dremio: Does it lock in my data?
No, tables stay in Apache Iceberg or Parquet in your own object storage and can be read by Spark, Trino or other engines.
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.
Dremio: Do I still need a warehouse?
Often not for analytics, but Dremio is not a transactional store and high-concurrency operational serving is not its strength.
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.
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