Databases · head to head
Elasticsearch vs VerneMQ

Elasticsearch
Databases
The heart of the Elastic Stack for search and analytics
- 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: Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements; 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: Elasticsearch covers Full-text Search, VerneMQ covers Erlang/OTP clustering.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Elasticsearch and VerneMQ actually diverge.
| Attribute | Elasticsearch | VerneMQ |
|---|---|---|
| Pricing model | Unknown | quote |
| Platforms | Linux, Windows, macOS, Docker, Kubernetes | Linux, Docker, macOS, Kubernetes |
| Founded | 2010 | 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 Elasticsearch
- Full-text Search
- Real-time Analytics
- Distributed Architecture
- RESTful API
- Schema-free JSON
- Aggregations
- Machine Learning
- Kibana
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.
Elasticsearch
- Real-time applicationsnot VerneMQ
- Content managementnot VerneMQ
- User profilesnot VerneMQ
- Mobile backendsnot VerneMQ
- Cachingnot VerneMQ
VerneMQ
- An industrial operator that wants an MQTT broker with predictable memory behaviour and no data integration features it will not usenot Elasticsearch
- A team building from source to stay strictly under Apache 2.0 terms with no vendor licence entanglementnot Elasticsearch
- A deployment needing custom authentication logic implemented as a plugin in Lua or over a webhooknot Elasticsearch
- An organisation that wants a broker maintained by a small European company rather than by a vendor that keeps changing licencesnot Elasticsearch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Elasticsearch
- Eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
- No support for ACID transactions or rollbacks; updates delete and re-insert documents
- JVM-dependent architecture requires careful memory management and monitoring to prevent garbage collection issues at scale
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
Elasticsearch
Free- Self-ManagedFree
- Open source
- Self-hosted
- Elasticsearch Cloud$16.4/month
- Managed service
- 14-day free trial
VerneMQ
Free- Source buildFree
- Apache 2.0 licensed source from GitHub
- Full clustering and plugin capability
- You compile and package it yourself
- Binary packages and Docker images$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 Elasticsearch if
- You need full-text search.
- You want to start without paying.
- You work on Linux, Windows, macOS, Docker, Kubernetes.
- You also want real-time analytics.
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 Elasticsearch or VerneMQ better?
- Neither clearly leads. Elasticsearch 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, Elasticsearch or VerneMQ?
- Elasticsearch starts at Free and VerneMQ at Free.
- Does Elasticsearch or VerneMQ run on more platforms?
- Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. VerneMQ runs on Linux, Docker, macOS, Kubernetes.
- Can I use Elasticsearch for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Elasticsearch best used for?
- Elasticsearch is most often used for real-time applications, content management, user profiles, mobile backends. Of those, real-time applications and content management are not what VerneMQ is typically brought in for.
- What can Elasticsearch do that VerneMQ cannot?
- Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. VerneMQ covers Erlang/OTP clustering, MQTT 5.0 support, Plugin system, Backpressure handling.
Answered from the vendors’ own pages
Elasticsearch: Is Elasticsearch free?
Yes, Elasticsearch can be deployed as free and open-source software for self-managed installations. Elastic Cloud managed service starts at $16.40 per month, with a free 14-day trial available.
SourceVerneMQ: 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.
Elasticsearch: Can I use Elasticsearch without Kibana?
Yes, Elasticsearch is a search engine independent of Kibana. Kibana is a visualization and analytics tool that works with Elasticsearch but is optional. You can use the Elasticsearch API directly for searching.
SourceVerneMQ: Is the project still maintained?
Yes. Octavo Labs AG in Zurich continues to publish 2.x releases, most recently in 2026.
Elasticsearch: Does Elasticsearch support real-time indexing?
Elasticsearch indexes data with a refresh interval, typically 1 second. Data becomes searchable after the refresh cycle, making it near-real-time but not instantaneous. This can be configured but impacts performance.
SourceVerneMQ: Does it have a managed cloud?
No. Every deployment is self-hosted, with commercial support available from Octavo Labs.
Elasticsearch: What are Elasticsearch's scaling limitations?
Elasticsearch requires careful operational management at scale, including shard balancing, heap sizing, and monitoring. Large clusters can suffer from garbage collection issues and become expensive to operate.
SourceVerneMQ: 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.
Elasticsearch: Does Elasticsearch support transactions and rollbacks?
No, Elasticsearch does not support ACID transactions or rollbacks. Updates are expensive operations that delete and re-insert documents, making it unsuitable for transactional workloads.
SourceRelated pages
More on Elasticsearch
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