IoT Ingest & Control

Seamlessly Connect IoT Clients to Kafka at Scale

Bring device telemetry, commands, and events directly into Kafka without intermediary brokers, connectors, integration pipelines or custom code.

Key Challenge Areas for IoT Data Platforms

From connectivity to governance, IoT data platforms face hurdles across multiple dimensions that impact scale, security, and performance.

Security & Connectivity

Billions of IoT devices sit outside corporate networks, creating complexity in securely connecting them to Kafka without exposing brokers.

Scale & Performance

IoT systems generate massive telemetry volumes requiring near real-time ingestion, routing, and processing.

Protocol Diversity

IoT relies on MQTT, WebSockets, HTTP, and more — all needing consistent access to Kafka streams.

Data Quality & Governance

Non-conformant data disrupts downstream AI, analytics, and digital twin platforms.

Operational Complexity

Maintaining MQTT brokers, Kafka Connect, and custom integration code adds cost and DevOps fragility.

Make IoT Data Simple, Secure, and Scalable

Zilla turns Kafka into a governed, multi-protocol data platform — eliminating brokers, connectors, and custom code while ensuring scale and compliance.

Deploy on AWS Marketplace

Turn Kafka into an MQTT broker

Enable IoT devices to publish and consume directly from Kafka without dedicated MQTT brokers, Kafka Connect, or custom middleware.

End-to-end data integration

Once in Kafka, IoT data can flow to microservices, databases, analytics platforms, and AI/ML pipelines for real-time business value.

Built-in stream processing

IoT data is immediately available for enrichment via Kafka Streams, Flink, ksqlDB, etc.

Governance-ready

Integrate with schema registries and AsyncAPI for validation, masking, and compliance. Apply consistent policies across device and enterprise data.

Unified analytics

Blend IoT telemetry with historical and enterprise data in Kafka for a single analytics plane spanning your entire deployment.

Use Cases

Real IoT Use Cases, Powered by Aklivity

From factories to fleets, see how Zilla connects devices, secures data, and delivers business value at scale.

Smart factory / OT modernization
Connected products
Fleet & logistics
Smart buildings & cities

No MQTT brokers, no Kafka Connect, no custom code

Zilla natively mediates between MQTT and Kafka protocols. Messages are persisted directly in Kafka topics and instantly available to Kafka clients, processors, and analytics tools. Zilla Gateways are stateless, horizontally scalable, and keep Kafka protected from IoT-scale client connections.

Key Capabilities

Built on the Standards IoT Teams Rely On

Zilla ensures your IoT data flows securely and scales anywhere — without breaking compatibility with existing protocols or tools.

MQTT

Native MQTT (v3.1.1 & v5.0) support — publish, subscribe, QoS, retained messages, Last Will.

Sparkplug B

Sparkplug B support for industrial IoT.

AsyncAPI-compliant

AsyncAPI for configuration and message validation.

Stateless Design

Stateless design for elastic scaling on Kubernetes.

Observability

Observability with OpenTelemetry, Prometheus, and logging integrations.

Deploy Anywhere

Deploy in the cloud, on-prem, or at the edge. 

Customer Stories

Trusted by data-driven organizations

“Zilla Plus gave us exactly what we needed — secure, Kafka-native connectivity to our private MSK clusters from anywhere, without compromising security or building custom integrations. It’s accelerated our project delivery and simplified how we connect critical business systems across our ecosystem.”

Karthik Rajendran

Platform Owner, KONE

KONE

How KONE Uses Zilla Plus to Securely Bridge Amazon MSK with SAP Cloud & Beyond

Key Results

Connected MSK clusters securely without public exposure

Accelerated project delivery across SAP & third-party systems

Reduced dev overhead by eliminating custom integrations

‍“Zilla’s extensive protocol support, integrations with AWS services such as Glue Schema Registry and Secrets Manager, as well as robust logging capabilities, gives me confidence it can be a one-stop solution for all of our external MSK integration needs.”

Gordon Zardoya

Solution Architect, N Brown-Castle Fintech

N Brown

N Brown Achieves Event-Driven Partner Integrations with Zilla Plus

Key Results

Secure endpoints enabled fast partner integrations

Lead time cut, team focused on Kafka design

Unified interface across Kafka and non-Kafka apps

Related Resources

See all resources

Engineering

Fourth Industrial Revolution (Industry 4.0): Enabling IIoT with Real-Time Data Products

In this blog, we explore how event-driven architectures, especially those combining MQTT and Kafka, unlock the power of industrial data.

Announcements

Zilla Turns Kafka into an MQTT Broker!

Engineering

Zilla Hails a Taxi

Engineering

The Why & How of Centralized Data Governance in Zilla Across Protocols

Let’s Get Started!

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Flexible pricing

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