Modernizing Without Disruption: A Practical Approach to Industrial Data Growth
· Digital Disruption

Modernizing Without Disruption: A Practical Approach to Industrial Data Growth

Industrial operations depend on data historians to record what’s happening on the line or in the field. But as systems evolve toward Industry 4.0, many teams find that their historians weren’t built for what’s next — the volume, velocity, and variety of time series data now generated by sensors, PLCs, and edge devices.Replacing these systems […]

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InfluxDB 3: Turning Industrial Data into Real-Time Action with Less Complexity
· Process Manufacturing

InfluxDB 3: Turning Industrial Data into Real-Time Action with Less Complexity

For manufacturers, utilities, and other industrial operators, time series data—information captured over time from machines, sensors, and control systems—is the backbone of modern operations. But as data volumes grow, many organizations are still struggling to keep up: storing the data is easy; using it effectively, in real time, is not.InfluxData’s release of InfluxDB 3 Core and […]

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InfluxData at Hannover Messe 2025: Making Industrial Data Work for You
· Predictive Maintenance

InfluxData at Hannover Messe 2025: Making Industrial Data Work for You

Hannover Messe 2025 is where manufacturers and industrial companies find practical solutions for real-world challenges. This year, InfluxData is bringing something different: an efficient, cost-effective way to handle industrial data in real time. Visit Hall 14, Booth H38, to see how InfluxDB simplifies data management, provides instant insights, and reduces storage costs.Why InfluxDB?Manufacturers deal with massive amounts of […]

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Data Retention for Long-Term IIoT Monitoring Using Time Series Databases
· Predictive Maintenance

Data Retention for Long-Term IIoT Monitoring Using Time Series Databases

Traditional industries have evolved by implementing many Industrial IoT practices, where we can get data from mechanical devices and sensors. Such real-time data monitoring helps perform better analysis, predict equipment failure, and reduce operating costs. However, IIoT creates enormous volumes of data that must be retained and controlled over long periods. Managing large volumes of […]

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Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity
· Connected Industry

Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity

The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. They form a network of intelligent devices working together to generate and share data. This approach to managing devices has revolutionized how industries manage, monitor, and maintain their equipment. This connected network provides visibility into equipment performance, process throughput, and overall productivity. Predictive […]

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Augment/Replace OSI PI With a Time Series Database
· Connected Industry

Augment/Replace OSI PI With a Time Series Database

Industries are rapidly evolving from the era of computer automation (Industry 3.0) to a new phase—Industry 4.0. This shift introduces exciting technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. These advancements allow businesses to collect and use real-time data, improving efficiency, productivity, and smarter decision-making.OSI PI is a crucial […]

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Augment/Replace Your SCADA System With a Time Series Database
· Connected Industry

Augment/Replace Your SCADA System With a Time Series Database

Industrial control systems are changing, and data is becoming increasingly important to contemporary operations. Supervisory Control and Data Acquisition (SCADA) systems have long served as the foundation of industrial control—even though they have their limitations. These challenges include limited data storage, difficulty scaling, insufficient capability for advanced real-time data analytics, and many more.These challenges faced […]

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