Is HiveMQ a competitor to Qubitro, or a component?

More often a component than a competitor. HiveMQ moves MQTT messages and does it very well; Qubitro decodes, stores, displays and acts on them. Teams that build on HiveMQ usually add a time-series database and a dashboarding layer to complete the picture. So the honest comparison is one managed platform against a broker plus the stack around it, and either can be the right answer depending on what your team already runs.

Does HiveMQ process data, or only deliver it?

It processes. HiveMQ Data Hub validates messages against JSON or Protobuf schemas, enforces policies that can log, stop, re-queue or transform a message, and runs a JavaScript engine for transformations, including stateful ones that take prior messages into account. What it does not do is keep the result: retention, long-horizon rules over history and alerting on stored data still need something underneath, which is the layer Qubitro provides.

How do the two price?

Differently in kind, so there is no like-for-like number. HiveMQ has two separate price lists, self-managed and HiveMQ Cloud, and you size against two ceilings at once — concurrent connections and sustained throughput — with support priced as a dimension of its own. The paid Cloud offering meters an hourly platform fee alongside per-message usage. Qubitro has one meter: per device, from $2 per device per month. Which is cheaper depends entirely on how many devices you have against how much they talk, but only one of the two is a number you can put in a customer quote before deployment.

All comparisons

Qubitro vs HiveMQ

An enterprise MQTT broker, now positioned as an industrial AI platform, built for very large connection counts and available self-managed or as HiveMQ Cloud.

HiveMQ and Qubitro are not the same kind of product, and the comparison only works once that is said plainly. HiveMQ is an enterprise MQTT broker: transport, at scale, with the operational tooling to run it properly. Qubitro is a managed IoT platform — device onboarding, time-series storage, dashboards, rules and alerts sitting on top of transport.

Since October 2025 HiveMQ has positioned itself as an industrial AI platform rather than a broker alone, and the product line has grown to match. HiveMQ Edge converts OT protocols. Data Hub validates messages against schemas and transforms them inside the broker with JavaScript, including transformations that take prior messages into account. Pulse adds a unified-namespace modelling layer.

So the real question is how many pieces you want to own. HiveMQ plus a time-series database plus a dashboarding layer plus the glue between them is a correct and respectable architecture; it is simply a different number of vendors and a different amount of work. Qubitro is one managed service covering that stack, with no self-hosted edition and no way to install it inside a factory.

What HiveMQ does well

Scale that is documented rather than asserted. HiveMQ published a benchmark of 200 million concurrent MQTT connections with peak throughput of a million PUBLISH per second
Masterless clustering, so there is no master node to lose. Nodes join and leave at runtime with automatic rebalancing, backed by disk persistence, offline queuing and session persistence
HiveMQ Edge is genuinely free and genuinely good: Apache 2.0, standalone, ships its own standards-compliant MQTT broker, and speaks OPC UA, Modbus, Siemens S7, Beckhoff ADS and EtherNet/IP
Fleet-level debugging that most platforms cannot match. The Control Center inspects individual clients and disconnects them administratively, and Trace Recordings dump matching MQTT traffic across the cluster
Enterprise substance across the board: SOC 2 and ISO/IEC 27001, and twelve Enterprise Extensions covering integrations such as Kafka, Kinesis, Google Pub/Sub, PostgreSQL, Snowflake and Databricks alongside security and operational extensions

Side by side

	HiveMQ	Qubitro
Product category	MQTT broker and industrial data layer	Managed IoT platform
Hosting model	Self-managed on your own infrastructure, or HiveMQ Cloud managed	Managed only; there is no self-hosted edition
Protocols	MQTT 3.1.1 and 5, Sparkplug B; OPC UA, Modbus, Siemens S7, EtherNet/IP and more through Edge	MQTT 3.1.1 and 5, HTTP/HTTPS REST, webhooks, LoRaWAN via network server integrations
Device onboarding	Devices are MQTT clients; decoding each payload format is your job	291 templates across 58 manufacturers, each a decoder plus a starter dashboard
Data storage	Not a data store. Persistence exists for reliable delivery; history goes to your own database	Time-series storage with configurable retention, included
Dashboards	Control Center for broker operations and Grafana templates for metrics; no telemetry dashboards	Per-device telemetry dashboards, pre-built for supported hardware
Data processing	Data Hub: schema validation, policies and JavaScript transformations inside the broker	JavaScript functions and JSONata expressions
White-label	Not part of the product; the application layer is yours to build	Custom domain, branding and per-tenant theming

Choose HiveMQ if

Connection count or sustained throughput is the actual constraint — hundreds of thousands to millions of concurrent sessions, or six- to seven-figure messages per second
The deployment must be self-hosted, on-premises, air-gapped or pinned to a specific sovereign region. Qubitro cannot be installed inside your factory or data centre; HiveMQ can
Your devices speak OPC UA, Modbus, Siemens S7, EtherNet/IP or MTConnect, or your architecture is Sparkplug B and a unified namespace on the plant floor
You already own the data stack. If Kafka, Snowflake, Databricks or a warehouse is the system of record and your team runs storage, transformation and BI, a broker is the piece you are missing rather than a platform

Choose Qubitro if

You need storage, dashboards, alerting, device lifecycle and an app-facing API, and would rather buy that as one service than assemble it from a broker, a database and a BI tool
You have no platform team and no on-call rota to give a broker cluster, and nobody wants to own upgrades, capacity planning and backups
You onboard commercial LoRaWAN and cellular hardware repeatedly and want the payload decoder and a starter dashboard to already exist when the device connects
You resell to end customers and need white-label with a custom domain per tenant, priced per device so you can quote it without modelling connections and throughput first

Common questions

Is HiveMQ a competitor to Qubitro, or a component?: More often a component than a competitor. HiveMQ moves MQTT messages and does it very well; Qubitro decodes, stores, displays and acts on them. Teams that build on HiveMQ usually add a time-series database and a dashboarding layer to complete the picture. So the honest comparison is one managed platform against a broker plus the stack around it, and either can be the right answer depending on what your team already runs.
Does HiveMQ process data, or only deliver it?: It processes. HiveMQ Data Hub validates messages against JSON or Protobuf schemas, enforces policies that can log, stop, re-queue or transform a message, and runs a JavaScript engine for transformations, including stateful ones that take prior messages into account. What it does not do is keep the result: retention, long-horizon rules over history and alerting on stored data still need something underneath, which is the layer Qubitro provides.
How do the two price?: Differently in kind, so there is no like-for-like number. HiveMQ has two separate price lists, self-managed and HiveMQ Cloud, and you size against two ceilings at once — concurrent connections and sustained throughput — with support priced as a dimension of its own. The paid Cloud offering meters an hourly platform fee alongside per-message usage. Qubitro has one meter: per device, from $2 per device per month. Which is cheaper depends entirely on how many devices you have against how much they talk, but only one of the two is a number you can put in a customer quote before deployment.

The fastest way to judge this is to connect one device. The free tier needs no card, and if your hardware is in the template library you will have a dashboard in minutes.

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