Manufacturing and energy companies collecting sensor data at scale are hitting the same wall: PostgreSQL, SQL Server, Oracle, and MongoDB were not designed for the volume, velocity, and retention demands of industrial time series. Mike Freedman,…
The data challenge facing energy operations today Power grids, renewable energy sites, battery storage facilities, substations, and smart meter networks generate millions of time-stamped data points every second. This telemetry from sensors, SCADA systems, and field…
As manufacturing moves toward 2026, the landscape of predictive maintenance is shifting from simple condition monitoring to "Agentic AI", systems that don't just alert you, but autonomously plan and execute multi-step resolutions. This evolution requires a…
As manufacturers face volatile energy costs and aggressive decarbonization targets, the focus for 2026 is shifting from passive monitoring to active grid interaction. The following 10 platforms and technologies were highlighted by industry leaders during IIoT World…
Manufacturers today face a critical gap: factories are full of dashboards showing vibration graphs, torque curves, and temperature plots, yet critical equipment still fails unexpectedly. Experts from InfluxData, CGI, Bosch, and Trask identify the fix: moving…
The "Predict, Prevent, Optimize" panel at AI Frontiers 2025 identified the primary barrier to scaling predictive analytics in manufacturing: not machine learning models, but the data pipelines that must move sensor readings quickly, cleanly, and in…
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 —…
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…
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…
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,…
The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. This IIoT World article, sponsored by InfluxData, examines how time series databases support predictive maintenance in industrial IoT environments. They form a network…
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…