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@riankverse🧿 AWS IoT Core vs. EMQX: In-Depth Comparison of MQTT Features and Platform Limitations | 2 Year Old
Toddler Life | Day 182 with Riankverse 🧿
As IoT deployments expand, the messaging layer often becomes the defining constraint on system
performance, reliability, and long-term flexibility. AWS IoT Core offers a convenient entry point
for AWS-centric teams, with straightforward integrations into the broader AWS ecosystem. However, as
systems grow, the platform’s protocol deviations, quota boundaries, and regional limitations can
introduce friction.
EMQX approaches messaging from a different angle. It is a fully compliant, horizontally scalable
MQTT platform designed for large, long-lived IoT, IIoT, and connected device workloads. Whether
deployed as a managed cloud service, a dedicated VPC deployment, or self-hosted infrastructure, EMQX
focuses on predictable performance and architectural freedom.
This comparison highlights the technical differences that matter most when building IoT systems
intended to scale: MQTT compliance, performance constraints, extensibility, and enterprise-level
capabilities.
1. MQTT Protocol Compliance and Advanced Features
A foundational distinction between the two platforms is their approach to MQTT standards. AWS IoT
Core supports MQTT 3.1.1 and 5.0 but deviates from the official specification in several important
areas.
MQTT Feature Comparison
Feature AWS IoT Core EMQX Dedicated Flex EMQX Enterprise
MQTT Version Support MQTT 3.1.1, 5.0 (partial implementation) Fully compliant MQTT 3.x & 5.0 Fully
compliant MQTT 3.x & 5.0
QoS 2 Not supported Supported Supported
Complete MQTT 5 Packet Support Missing several packets (AUTH, PUBREC, PUBREL, PUBCOMP, DUP
flag) Full support Full support
MQTT over QUIC No No Yes
Protocol Variety MQTT, MQTT over WSS, HTTPS publish, LoRaWAN MQTT, CoAP, STOMP, LwM2M, HTTP MQTT,
QUIC, CoAP, STOMP, LwM2M, HTTP
AWS’s partial MQTT implementation often surprises teams when behavior differs from standard
expectations, particularly for reliability and acknowledgement flows. EMQX maintains strict
compliance, which is crucial for predictable behavior across millions of devices, diverse client
libraries, and multi-vendor hardware environments.
EMQX also expands shared subscription handling with multiple dispatch strategies such as round
robin, sticky hashing, and local node routing. These strategies help backend microservices maintain
cache locality and consistent load distribution.
2. Operational Limits and Performance Constraints
AWS IoT Core enforces a variety of quotas that restrict scale and throughput. While some can be
increased through support requests, they still form an upper bound that matters for large
deployments.
Key Operational Limits
Feature AWS IoT Core EMQX Dedicated Flex EMQX Enterprise
Max Concurrent Connections Up to 500,000 per account per region 10,000 default, higher with custom
plans 100M+ (resource dependent)
Max Message Payload 128 KB 1 MB (adjustable up to 10 MB) 256 MB
Publish Throughput 100 publish requests per second per connection 1,500 messages per second per
client (default) Unlimited (resource dependent)
Retained Message Limits 500,000 per account 500,000 Unlimited
Client ID Length 128 characters 1,024 Up to 65,535
These boundaries affect system design early on. For example, teams often discover they need multiple
AWS accounts to scale beyond 500,000 devices in a region, which complicates routing and operational
workflows. Large payload data, compressed telemetry, or aggregated messages also struggle under
AWS’s 128 KB limit.
EMQX is designed for linear horizontal scale. Enterprise clusters routinely handle millions of
connections and very high publish and subscribe throughput without requiring account sharding or
regional fragmentation.
3. Data Integration and Stream Processing
Data routing is one of the most important aspects of an IoT messaging layer. AWS IoT Core and EMQX
take very different approaches to this part of the architecture.
Integration Model Comparison
Feature AWS IoT Core EMQX
Integration Approach SQL-like Rules Engine to AWS services SQL-based rules, Flow Designer, 40+
connectors
Ecosystem Scope AWS ecosystem only Broad ecosystem: Kafka, Oracle, SAP, PostgreSQL, MongoDB, Redis,
and more
Streaming Optimization Basic Ingest (bypasses broker routing) Pre-processing, filtering, batching
Durable Queueing Requires external services (SQS, SNS, etc.) Built-in Message Queue (EMQX 6.0)
The Rules Engine in AWS IoT Core is powerful for AWS-centric environments, but far less flexible
when data needs to land in external systems. EMQX provides direct connectors to many enterprise
platforms and allows data transformation before it leaves the broker.
A major architectural advantage of EMQX is the Message Queue feature introduced in version 6.0. It
adds durable queue semantics directly into MQTT pipelines, reducing the need for separate queueing
systems.
4. Security, Authentication, and Extensibility
The two platforms also differ significantly in how they handle authentication, authorization, and
custom logic.
Security and Extensibility Overview
Feature AWS IoT Core EMQX
Authentication Methods X.509, IAM Roles, Cognito X.509, Username/Password, JWT, PSK, Kerberos, SCRAM
Custom Authentication Lambda Authorizers External Auth (LDAP, SQL, NoSQL, HTTP)
Extensibility Model Lambda + Rules Engine Erlang plugins, gRPC-based hooks (ExHooks)
Observability CloudWatch Built-in Dashboard, Prometheus, Datadog, OpenTelemetry
AWS IoT Core requires Lambda for most forms of custom logic, which adds cost and latency. EMQX
allows authentication and extension logic to run natively inside the broker, improving performance
and reducing moving parts.
For observability, EMQX supports industry-standard monitoring tools and exposes detailed metrics,
logs, and traces suitable for highly scaled systems.
5. Enterprise Features and Real-World Scalability
Enterprise IoT deployments often require global scale, multi-tenancy, or hybrid cloud operation. AWS
IoT Core and EMQX diverge sharply in how they handle these needs.
Enterprise Capability Comparison
Capability AWS IoT Core EMQX Enterprise
Multi-Tenancy Domain configurations or multiple AWS accounts Namespace-based logical tenancy within
a single cluster
GEO Scale Region-bound deployments Cluster Linking enables multi-region and multi-cloud
communication
On-Premise / Hybrid Not available Fully supported
Custom Protocol Gateways Limited Built-in gateways (OCPP, JT/T 808, GBT32960)
EMQX’s Cluster Linking feature is especially valuable for multi-region deployments because it allows
geographically distributed clusters to operate as a unified system while remaining resilient to
network interruptions.
6. Understanding Platform Limitations and Trade-offs
Every platform has trade-offs, and choosing between AWS IoT Core and EMQX depends on technical
priorities.
AWS IoT Core Limitations to Consider
No QoS 2 support
128 KB message size limit
Up to 500,000 device connections per region per account
Throughput is capped per connection
No guarantee of message ordering
Deep dependency on AWS ecosystem services
Custom logic requires Lambda
EMQX Cloud and Enterprise Considerations
Fewer built-in device management features than AWS IoT Core
Relies on standard MQTT client SDKs rather than a proprietary SDK
EMQX Serverless has connection and TPS caps by design
Self-hosted Enterprise requires operational ownership
A balanced understanding of these factors helps teams choose the right messaging layer for the long
term.
7. Matching EMQX Deployment Models to Real Scenarios
They grow… and you don’t even realize when it happens.
This wasn’t planned.
Just a real moment I didn’t want to forget.
No scripts. No perfect setup.
Just a father and his 2-year-old… growing together.
A dad learning parenting at every stage.
Toddler life is messy, emotional, and beautiful.
One day, this will just be a memory.
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30/9/2026
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Day 182 of @riankverse
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30/9/2026
Wednesday, 30 September 2026
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