What are the alternatives to MachineMetrics?

Which alternatives are worth a serious look?

MachineMetrics publishes a product aimed at discrete manufacturers: aerospace and defense, automotive, contract manufacturing, heavy machinery, medical devices, oil and gas, and precision metalworking. Its site names CNC brands including Tsugami, Okuma, Hurco, Heidenhain, Makino, Mitsubishi, Siemens, Haas, Miyano, Citizen, Mazak, Doosan, Matsuura and Star CNC, over MTConnect, OPC-UA, Modbus, TCP/IP, Ethernet/IP and IO-Link, with automated scheduling, work order tracking, downtime tracking, OEE and production analytics, and ERP connectors.

That is the standard the alternatives get measured against. Four of the five below overlap with it directly. The fifth is ours, and it is a stack rather than a single product - Vorne XL boards, the XL Bolt-On Data Collector that gets their data into SQL Server, and OEE IntelliSuite reading it - which starts from a different assumption about what is already on the floor.

Datanomix

The closest match on this list. Datanomix publishes real-time production monitoring with automated part tracking and cycle time analysis for shops running Fanuc, Haas, DMG Mori, Mazak, Okuma, Citizen, Hurco, Mitsubishi Electric and Siemens, connected over MTConnect, OPC Foundation interfaces and proprietary interfaces, under a “No Operator Input Required” heading. It publishes mobile and TV apps, and the product line includes ERP Insights, which it says works with both cloud-based and on-prem ERP systems, G-Code Cloud and DNC - described as Gov-Cloud-native, ITAR-compliant and fully CMMC 2.0 compliant - plus TMAC ai, ToolAnalytix and Digital GEMBA. It does not publish pricing. If your machines are CNCs and your question is how to get data off them, this is the name to put beside MachineMetrics. There is a head-to-head against Datanomix if you want the feature-level view.

Evocon

The one that tells you what it costs. Evocon publishes a cloud OEE service with Shift View, a dashboard, a factory overview, reports and checklists, collecting through its own IIoT device, with sensors and other production inputs, and a 30-day free trial and no financial commitment. Its price list is public, per machine and billed annually, with three plans and its IIoT device charged separately; the current figures are on Evocon's own pricing page. The licence covers support, updates, implementation support, configuration, training, onboarding and unlimited users. On-site visits, hardware and shipping, integrations and custom developments sit outside it. Of the five products on this page, Evocon is one of only two that publish a figure at all, so you can cost a rollout before booking a call. That is a real reason to stay with them.

Factbird

The fastest published rollout claim on this list. Factbird publishes a cloud platform covering real-time dashboards, OEE tracking, downtime analytics, digital SOPs, quality checks, e-signatures, and skills and training, collecting through plug-and-play edge devices and IIoT sensors, PLC integration over OPC UA and MQTT, camera and vision systems, and direct connectors. The pitch is “Live in hours, not months”, and the industries named are food and beverage, CPG, packaging and containers, industrial equipment, pharmaceutical, construction and building, and automotive. It does not publish pricing. If nothing is instrumented today and the constraint is how soon a line is measured, Factbird is the one making that promise in writing.

Shoplogix

The longest published module list here. Shoplogix publishes a smart factory platform alongside maintenance reliability, team communication, quality management, production and labor efficiency, steam trap monitoring and machine health monitoring. It says it works with any machine regardless of age or communication protocol, with “no extra hardware required to start”, converting raw signals into machine states such as Running, Down, Idle and In Setup, and offers batteryless IoT sensors for steam traps and rotating equipment. Its pricing page names three plans - Production Pulse, Smart Factory and Enterprise - publishes no figures, and asks you to book a demo. The pages read here do not state where the platform runs, so treat that as a question for them rather than an answer either way. Worth a look when you want one vendor covering more of the plant than production monitoring.

Vorne XL, the XL Bolt-On Data Collector and OEE IntelliSuite

Ours, and it is a stack of three parts rather than one product, which is the honest way to compare it with a platform that ships its own hardware. The Vorne XL board on the line does the measuring. The XL Bolt-On Data Collector periodically harvests each device into a Microsoft SQL Server database, which is how board history lands somewhere it can be reported on; it is licensed separately by Sulzer Consulting. OEE IntelliSuite reads that database and is the layer you actually work in.

So it starts from a different assumption: that the plant already runs Vorne XL boards and the data is already being recorded. It collects from V1 and V2 boards side by side, and Data Converter rewrites V1 production history into the V2 schema so both generations report on one timeline rather than in two systems. OEE Explorer covers OEE, TEEP, Availability, Performance and Quality down to reason codes and reject reasons, with a no-code chart builder, over 40 visualization types and role-based access. OEE Pulse handles alerting - threshold and state-event rules by email, SMS, Teams, Slack or Discord - and exports Metrics, Rejects, Job Punches and Instants as CSV, Excel or PDF. It installs on a server inside the plant network, Debian preferred and Windows Server 2022 supported, with the production database on that server, a cloud install available, and an offline bundle for sites with no internet access. Our prices are published on the pricing page.

The stack is also the cheap one, and our half of the arithmetic is published rather than quoted. The subscription is $1,500 a year for the core modules covering the first ten devices and $150 a year for each device after that, so twenty lines is $3,000 a year. There is a one-time licence path as well, from $6,995 for Basic covering ten devices, where the annual fee is optional unless you use AI analysis. A base that covers ten devices and a small step per device after that is a different shape of bill from a per-machine monthly subscription, and it is the shape that matters once a plant has more than a few lines. What those figures leave out is the XL Bolt-On Data Collector licence and the Vorne boards themselves - which is why this is an argument for a plant that already owns its boards, and not for a greenfield line where somebody still has to buy hardware either way.

Why do people go looking in the first place?

The reasons that come up are structural rather than complaints about the software, and each one is visible on MachineMetrics' own published pages.

• The price is not published. Three tiers are named - Core Platform, Intelligent MES, Enterprise - and the model is described as volume based, cheaper per machine the more you connect, with no figures. If you need a number before you can open a conversation internally, nothing on the published pricing page supplies one.
• The on-premises question is not answered on the page. The platform page names an Edge Platform and a cloud platform, and integrations over MQTT for a Unified Namespace, REST and GraphQL. It makes no statement about on-premises or air-gapped deployment. For a plant whose IT policy is that production data does not leave the building, that is a question to put to MachineMetrics directly rather than something to conclude from the page.
• Subscription is the published model. The pricing page describes it as a true SaaS subscription with no maintenance fees and all updates included. That is a clean commercial model. It is also the only one published, so a buyer whose capital budget is easier to spend than their operating budget has nothing to point at.
• The fit is discrete manufacturing. The industries and machine brands named are discrete and CNC-heavy. A process plant that already counts product on a Vorne XL board is not the buyer the pages are written for, which does not mean it would not work - it means you will be the one doing the translating.

Where does OEE IntelliSuite fit, and where does it not?

We are the answer when the plant already runs Vorne XL boards, when V1 and V2 boards are mixed, when the production database has to stay inside the plant network, and when the work in front of you is custom reporting, integration, or putting workforce and job context on top of machine data. What we publish for that last part: Work Tracker and Custom Forms carry time by employee, job and shift, separate roles for primary operators, helpers and technicians, job selection, comments, job states, checklists and handoff steps. Custom reporting and integration is work we sell rather than a box you tick.

A unified namespace is not one of the gaps. PLC Bridge joins your broker as a Sparkplug B edge node, under the group and edge node names you already use, and publishes every board's live job, counts, state and OEE on the standard topics. It publishes to the broker you point it at, so the namespace can be one that never leaves your plant network.

If you are down to two names and want the feature-level view instead of a shortlist, the head-to-head against MachineMetrics covers that.

We are not the answer for a CNC shop with no Vorne hardware that wants machine connectivity out of the box. If the question is how to get data off a Mazak or a Haas, MachineMetrics and Datanomix are the two here whose published material is about connecting to those controls, and ours is not. Our position on the hardware is on the product FAQ: OEE IntelliSuite complements Vorne XL rather than replacing it. Vorne stays strong at machine and line performance visibility, and we add the workforce, workflow, reporting and integration layers around that data.

What should you compare before you decide?

• Where does the production database live? In your building, or in the vendor's cloud. Plants with a security or compliance constraint usually know their answer before they start, and it eliminates more of the market than any feature comparison will.
• What does it cost per machine, per year, over the term you would sign? Evocon is one of two you can work out from published figures. For the vendors that publish none, ask for the total annual cost including hardware, not the per-machine licence.
• What hardware do you have to add? Evocon prices its IIoT device separately, per month. Factbird uses plug-and-play edge devices and sensors. Shoplogix says none is required to start. If your lines are already on Vorne XL boards, ask what a second layer of sensors is buying you.
• What happens to the history you already have? Years of recorded production is the asset nobody puts on a comparison grid. V1 to V2 conversion is the version of this question we get asked most.
• Who is allowed to read a report, and what does that cost? Evocon publishes unlimited users on every plan. The other pages read here do not state a user model, so ask before you count seats.

If alerting is what actually drove the search, the constraint is usually the network rather than the alert: what leaves the building on each channel is the question IT will ask.

Where did the facts on this page come from?

Everything on this page about another company comes from that company's own published pages, read on 14 August 2026: MachineMetrics, Datanomix, Evocon, Factbird and Shoplogix. Where a vendor does not publish something, this page says that rather than guessing, and none of it is a statement about what those products cannot do. Published material changes, so check anything that would decide a purchase against the vendor's current pages.