Databases · head to head
Dremio vs VerneMQ

Dremio
Databases
SQL query engine and lakehouse layer over Iceberg tables in object storage
- From
- Free
- Rated
- -

VerneMQ
Databases
Erlang MQTT broker whose source is Apache 2.0 but whose official binaries need a paid subscription
- 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.; VerneMQ the official binaries and Docker images are not Apache 2.0 but sit under a EULA requiring a yearly commercial subscription, a distinction easy to miss and awkward to discover during a licence audit.
- They diverge on capability: Dremio covers Arrow-based execution, VerneMQ covers Erlang/OTP clustering.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dremio and VerneMQ 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 VerneMQ
- Erlang/OTP clustering
- MQTT 5.0 support
- Plugin system
- Backpressure handling
- Bridge support
- Metrics export
- MQTT over WebSockets
- Pluggable auth backends
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 VerneMQ
- A data platform team standardising on Apache Iceberg and needing a SQL engine plus catalogue that does not lock the tables innot VerneMQ
- An analytics group accelerating slow lake queries with Reflections instead of hand-built aggregate tablesnot VerneMQ
- A regulated enterprise that must keep data on premises but wants a modern lakehouse SQL layernot VerneMQ
VerneMQ
- An industrial operator that wants an MQTT broker with predictable memory behaviour and no data integration features it will not usenot Dremio
- A team building from source to stay strictly under Apache 2.0 terms with no vendor licence entanglementnot Dremio
- A deployment needing custom authentication logic implemented as a plugin in Lua or over a webhooknot Dremio
- An organisation that wants a broker maintained by a small European company rather than by a vendor that keeps changing licencesnot 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.
VerneMQ
- The official binaries and Docker images are not Apache 2.0 but sit under a EULA requiring a yearly commercial subscription, a distinction easy to miss and awkward to discover during a licence audit.
- Octavo Labs is a very small company, so support depth, response times and the bus factor on the codebase are materially thinner than at HiveMQ or EMQ.
- There is no data integration or rule engine layer, so routing messages into a database means writing and operating your own consumer service.
- Operating an Erlang cluster requires runtime knowledge that most teams do not have and will use for nothing else in their stack.
- There is no vendor-managed cloud offering, so every deployment is self-operated with the infrastructure and on-call cost that implies.
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
VerneMQ
Free- Source buildFree
- Apache 2.0 licensed source from GitHub
- Full clustering and plugin capability
- You compile and package it yourself
- Binary packages and Docker images$undefined/year
- Covered by the VerneMQ EULA, not Apache 2.0
- Yearly usage subscription expected for commercial use
- Official builds and Docker images
- Commercial support$undefined/year
- Evaluation, customisation and operations assistance
- Custom development
- Long-term maintenance agreements
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 VerneMQ if
- You need erlang/otp clustering.
- You want to start without paying.
- You work on Linux, Docker, macOS, Kubernetes.
- You also want mqtt 5.0 support.
Questions people ask
- Is Dremio or VerneMQ better?
- Neither clearly leads. Dremio starts at Free and VerneMQ at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dremio or VerneMQ?
- Dremio starts at Free and VerneMQ at Free.
- Does Dremio or VerneMQ run on more platforms?
- Dremio runs on Linux, Kubernetes, Cloud, Docker. VerneMQ runs on Linux, Docker, macOS, Kubernetes.
- 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 VerneMQ is typically brought in for.
- What can Dremio do that VerneMQ cannot?
- Dremio covers Arrow-based execution, Reflections, Semantic layer, Iceberg catalogue. VerneMQ covers Erlang/OTP clustering, MQTT 5.0 support, Plugin system, Backpressure handling.
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.
VerneMQ: Is VerneMQ free?
The source is Apache 2.0 and free. The official binary packages and Docker images are covered by a separate EULA that expects a yearly fee for commercial use.
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.
VerneMQ: Is the project still maintained?
Yes. Octavo Labs AG in Zurich continues to publish 2.x releases, most recently in 2026.
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.
VerneMQ: Does it have a managed cloud?
No. Every deployment is self-hosted, with commercial support available from Octavo Labs.
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.
VerneMQ: How does it compare to EMQX?
Narrower in features and without a rule engine, but with a simpler licence story for source builds after EMQX moved to BSL.
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