The plant-floor alternative to AWS IoT
AWS IoT is a set of cloud building blocks. Assembling them into a working plant-floor pipeline is a project. IoT Connect is that pipeline, delivered: collection, broker, OPC UA, and a Unified Namespace in one binary, live in days.
What AWS IoT is
A set of cloud services you assemble into a path for collecting and moving data.
- A set of cloud services for device connectivity, storage, analytics, and machine learning, billed per service.
- A cloud path for OPC UA data, with other protocols handled by separate adapter components.
- A platform a cloud and OT team assembles, wires together, and operates.
- General-purpose cloud infrastructure, not a plant-floor product.
Where MAJiK goes further
Where a delivered plant-floor pipeline does more than cloud services you assemble first.
- Reads more of the plant from one binary: OPC UA, EtherNet/IP, Modbus, and Sparkplug B native, with no separate adapter to license per protocol. More machines connected means more of the data your decisions need.
- Models the data on arrival as an ISA-95 Unified Namespace, so every system reads one source of truth with production context, not raw tags you wire together in the cloud.
- Contextualized data is what makes the AI useful: faster root-cause analysis, anomalies flagged while the shift is still running, and one site's fix standardized across all of them.
- The result on the line: less downtime, untapped capacity unlocked, better quality, and the 2 to 5 percent more output we target on the same equipment. Ask us to walk the arithmetic on your line.
- OEE, downtime, and AI insights come in the box. They are not a build-it-yourself exercise on top of general cloud services.
A platform you assemble, or a product you install
The honest comparison starts with what each one is for.
AWS IoT: a cloud platform you assemble
A flexible set of services. If you have a cloud and OT engineering team and want to build and own a custom data platform, AWS gives you the parts. Standing it up, wiring it together, and operating it is the work, and it stays your work.
IoT Connect: the plant-floor data layer, delivered
Purpose-built data infrastructure. It captures from your equipment, models the data as a Unified Namespace, and delivers it to MAJiK Visual Factory, plus your historian, analytics, and AI, without you assembling or operating a cloud platform to do it.
Side by side
For the plant-floor data job, here is the difference.
| For the data job | AWS IoT stack | MAJiK IoT Connect |
|---|---|---|
| What it is | A toolkit of cloud services | Delivered data infrastructure |
| To get data flowing | Assemble Greengrass, SiteWise, and IoT Core | Install one binary |
| Industrial protocols | OPC UA only, others via adapters or partners | 20 native protocols |
| EtherNet/IP and Modbus | Separate Greengrass adapter components | Built in |
| Sparkplug B (one efficient feed for every subscriber) | Paid third-party bridge | Built in |
| Embedded MQTT broker | No, you run the broker service | Yes |
| Edge processing | Licensed pack per gateway | In the agent, no add-on |
| Unified Namespace, ISA-95 (one source of truth, with context) | You model it yourself | Modeled on arrival |
| OEE, downtime, AI | Build it yourself on AWS services | Built into Visual Factory |
| Deployment | Cloud services plus an edge runtime | One binary, any OS |
| Delivered as | Services you assemble and run | A managed, self-updating service |
| Time to value | A platform project | Days |
When AWS is the fit
If you already run on AWS, have a dedicated cloud and OT engineering team, want to build and own a custom platform, and need general-purpose cloud scale well beyond manufacturing, AWS is built for that. If instead you want working, contextualized plant-floor data without standing up and operating a platform, that is exactly what MAJiK IoT Connect is for.
Comparing other tools?
See how IoT Connect stacks up against the rest, or browse them all.