Save up to 60%
Reduce costs compared with Azure’s unit-based model. Get transparent, predictable pricing as you scale.
Azure IoT Hub → EMQX MIGRATION
Escape Azure IoT Hub’s costly tiers, complex unit-based scaling, and architectural constraints. Build with MQTT 5, flexible topics, and built-in integrations on EMQX.
Why switch
Unlock deployment freedom, MQTT scale, and predictable costs for your IoT infrastructure.
Reduce costs compared with Azure’s unit-based model. Get transparent, predictable pricing as you scale.
Use session expiry, shared subscriptions, and other MQTT 5 features beyond IoT Hub’s MQTT 3.1.1 interface.
Route MQTT data through SQL rules and built-in connectors to supported Azure services, databases, and streaming systems.
Run managed EMQX Cloud on Azure or host EMQX Enterprise yourself, while keeping the Azure services you need.
The difference
Run MQTT where you choose, with capacity matched to your workload, built-in integrations, and clear pricing.
| Azure IoT Hub pain points | The EMQX Cloud advantage |
|---|---|
Tier and unit-based scalingIoT Hub capacity follows the selected tier, size, and unit count, with daily message quotas and operation limits. | Capacity for your workloadChoose EMQX capacity for client connections and message throughput, then resize as your workload changes. |
Azure service dependenciesDevice twins, direct methods, and Azure message routes can tie application behavior to IoT Hub. | Bring your own cloudRun managed EMQX in your own AWS, Azure, or Google Cloud account with BYOC. |
Daily message allowancesUnits include a daily message allowance. Payload size affects message metering, so plan capacity for peak traffic. | Clear deployment pricingDedicated Flex bills instance capacity plus public outbound traffic beyond the included allowance. |
Tier-dependent capabilitiesDevice twins and direct methods require the Standard tier. Features and quotas vary by tier. | All-in-one MQTT platformUse MQTT 5, SQL rules, and native connectors to process and route data in one platform. |
Migration plan
Validate device behavior and Azure data flows before expanding the cutover.
List device identities, SAS or X.509 credentials, topics, twins, direct methods, provisioning, and message routes.
Configure MQTT topics, authentication, and data integrations. Test clients and replacement device-service logic with a small group.
Migrate devices in small groups. Monitor telemetry, commands, and reconnects, with a tested rollback plan.
Cost calculator
Adjust device count and message rate to see how a simplified, historical model responds to your workload.
Your workload
Illustrative monthly estimates
Estimated monthly difference
$1,102Difference (%)
22%This historical model is not a current price quote or a total-cost estimate. It uses 730 hours per month and simplified billing formulas; it does not model payload size, region, all service features, network traffic, or operating costs. Positive differences indicate savings; negative values indicate higher modeled EMQX costs. Validate your workload against current pricing.
Capabilities
Run MQTT at scale with SQL processing, built-in data integrations, and centralized operations.
Choose dedicated EMQX Cloud resources or self-managed Enterprise for your infrastructure and workload.
Use MQTT 3.1, 3.1.1, and 5.0 for telemetry and commands, with configurable delivery and sessions.
Scale connections and throughput across clustered nodes. Test peak traffic, reconnects, and recovery before production.
Filter, transform, and route MQTT data to supported streaming systems, databases, and cloud services.
Inspect clients, monitor traffic, and troubleshoot authentication or routing through the Dashboard, APIs, logs, and metrics.
Connect edge systems to your MQTT platform. Use EMQX Neuron for industrial protocol collection.
Comparison
Compare the messaging model and service dependencies alongside capacity and cost.
| Consideration | Azure IoT Hub | EMQX Cloud |
|---|---|---|
| Pricing model | Unit-based (DSU) Tiers, metered per message block. | Simple & Transparent (PAYG or flat-rate Dedicated). |
| Cost predictability | Low Cost depends on DSU usage and message overage. | High Fixed-rate plans offer budget certainty. |
| Vendor lock-in | High Deeply integrated with proprietary Azure services. | None Open standards and source-available core. |
| Multi-cloud support | Azure only. | Multi-cloud (AWS, Azure, GCP), Hybrid, On-premise. |
| Scalability (max connections) | Tied to DSU limit (e.g., 6k msg/sec per DSU). | Millions of concurrent connections per cluster. |
| Latency | Variable, dependent on DSU utilization and tier. | Guaranteed Sub-millisecond latency (Erlang core). |
| Integration engine | Message Routing (Requires other Azure services). | Built-in SQL Rule Engine (Free, 50+ integrations). |
| Support | Docs and paid support; Community dependent. | 24/7 expert team; vibrant community for open-source. |
Comparison
Unit-based (DSU) Tiers, metered per message block.
Cost depends on DSU usage and message overage.
Deeply integrated with proprietary Azure services.
Azure only.
Tied to DSU limit (e.g., 6k msg/sec per DSU).
Variable, dependent on DSU utilization and tier.
Message Routing (Requires other Azure services).
Docs and paid support; Community dependent.
Comparison
Simple & Transparent (PAYG or flat-rate Dedicated).
Fixed-rate plans offer budget certainty.
Open standards and source-available core.
Multi-cloud (AWS, Azure, GCP), Hybrid, On-premise.
Millions of concurrent connections per cluster.
Guaranteed Sub-millisecond latency (Erlang core).
Built-in SQL Rule Engine (Free, 50+ integrations).
24/7 expert team; vibrant community for open-source.
Customer story
Join 1,500+ customers, including 80+ Fortune 500 companies, who rely on EMQX.
In its published case study, SAIC Volkswagen reported hundreds of thousands of vehicles connected after the IoV platform’s 2020 launch. EMQX also decoupled vehicle systems from applications, helping the team focus on new services.
Read the case study
The institute reports 35%+ higher project development efficiency and 25%+ lower project deployment, operations, and maintenance costs with EMQX Enterprise and ECP. Regional clusters feed unified smart-grid monitoring.
Read the case study
The manufacturer separated device onboarding from MES development, allowing equipment and software teams to work in parallel. Its EMQX and NeuronEX platform standardized device connectivity and simplified MES integration.
Read the case study
Resources
Migration guide
Map device identity, MQTT topics, and application behavior before moving traffic.
Read the documentation
Blog post
Compare MQTT support, scalability, pricing, and architectural trade-offs to choose the right platform for your workload.
Read the articleEMQX documentation
Build data flows visually with SQL rules and built-in integrations.
Read the documentationFAQ
Often, for MQTT messaging. X.509 devices can keep their certificates after endpoint, server-trust, and identity-mapping updates. Review SDK calls that rely on IoT Hub’s topics, twins, or direct methods.
Yes, with the right authentication setup. Reuse X.509 certificates with the same trusted CA. To keep SAS tokens, configure an HTTP authentication service that verifies each token’s signature and expiry.
EMQX provides MQTT messaging, rules, and integrations. Implement device state, commands, and provisioning in application services, or retain suitable Azure components. These behaviors need explicit migration planning.
Yes, where connectors or application consumers support your services. Map IoT Hub routes to EMQX rules and integrations, then test credentials, payloads, and delivery. Availability depends on deployment and plan.
Compare current quotes for equivalent capacity, availability, traffic, and support. Include cloud fees or licenses, infrastructure, and operations. The sample calculator illustrates a historical model; it is not a current quote.