Best Condition Monitoring Software for Microsoft Azure

Compare the Top Condition Monitoring Software that integrates with Microsoft Azure as of June 2025

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This a list of Condition Monitoring software that integrates with Microsoft Azure. Use the filters on the left to add additional filters for products that have integrations with Microsoft Azure. View the products that work with Microsoft Azure in the table below.

What is Condition Monitoring Software for Microsoft Azure?

Condition monitoring software, also known as machine monitoring software, tracks the real-time health of machinery, detecting early signs of wear or failure. By continuously analyzing data like temperature, vibration, and pressure, it helps identify potential issues before they impact operations. This software enables maintenance teams to schedule repairs proactively, reducing unexpected downtime and extending equipment life. Many platforms feature alert systems and predictive analytics, turning complex data into actionable insights. Condition monitoring is especially valuable in industries like manufacturing and energy, where equipment reliability directly affects productivity and safety. Compare and read user reviews of the best Condition Monitoring software for Microsoft Azure currently available using the table below. This list is updated regularly.

1

UpKeep

UpKeep Maintenance Management

UpKeep is a mobile-first equipment and facilities maintenance software trusted by some of the world's biggest companies. With UpKeep, facility and asset management teams can get better data and enjoy seamless collaboration to improve productivity. It features tools for creating work orders on-the-go, keeping track of all current and upcoming work orders, monitoring the health of locations, assets, equipment, parts, and inventory, and more.

1 Rating

Starting Price: Free

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2

Crosser

Crosser Technologies

Analyze and act on your data in the Edge. Make Big Data small and relevant. Collect sensor data from all your assets. Connect any sensor, PLC, DCS, MES or Historian. Condition monitoring of remote assets. Industry 4.0 data collection & integration. Combine streaming and enterprise data in data flows. Use your favorite Cloud Provider or your own data center for storage of data. Bring, manage and deploy your own ML models with Crosser Edge MLOps functionality. The Crosser Edge Node is open to run any ML framework. Central resource library for your trained models in crosser cloud. Drag-and-drop for all other steps in the data pipeline. One operation to deploy ML models to any number of Edge Nodes. Self-Service Innovation powered by Crosser Flow Studio. Use a rich library of pre-built modules. Enables collaboration across teams and sites. No more dependencies on single team members.

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3

MX-AOPC UA Suite

Moxa

The MX-AOPC UA Suite includes the MX-AOPC UA Server, Viewer, and Logger, which are all based on the OPC UA standard. OPC UA is the next-generation OPC standard (IEC 62541), which provides a cohesive, secure, and reliable framework for accessing real-time and historical data. MX-AOPC UA Server not only inherits Moxa’s active monitoring technology but also supports Modbus protocol for polling data to provide a secure and reliable gateway bridging edge devices to the SCADA system. MX-AOPC UA Viewer is an OPC UA client that allows users to easily view tag values and server statuses. MX-AOPC UA Logger is another handy client for converting and uploading data logs to the central database. With Moxa’s MX-AOPC UA Suite, users can now instantly receive alarms, and real-time updates, and save historical data, allowing for both timely risk prevention and solid maintenance response.

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4

Braincube

Braincube

Manufacturing is at a crossroads: there is overwhelming pressure to ‘transform’ operations and move into Industry 4.0. It may feel like the weight of the world is on your shoulders as you try digitizing operations, optimizing processes, and increasing share, possibly with fewer resources than before. Braincube helps you take control of your data and transform your operations. We start by connecting your data, from any system, in any format. Your centralized data is continuously updated and available 24/7. Our middleware ingests and cleans your raw data in real-time so you have actionable insights on how to reduce cost and risk, optimize, and improve quality. It automates data manipulation and calculations, which eliminates the long and costly time needed to select, extract, transfer and prepare your data. Your raw data is constantly put in its context and is ready to be analyzed. Now you have structured, contextualized data, a Digital Twin, that you can use any time, on any line.

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