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Manufacturing Data Lakes vs Time-Series Databases: Where Should Your Machine Data Live?

· 9 min read
MachineCDN Team
Industrial IoT Experts

Your IIoT platform is collecting 50 million data points per day from 200 machines across 3 plants. Temperature readings every 5 seconds. Vibration samples at 1 kHz. Cycle counts, fault codes, pressure values, motor currents — all timestamped, all streaming continuously.

Where does this data go? And more importantly, how do you query it? The answer shapes the cost, performance, and analytical capability of your entire IIoT stack.

Two architectures dominate the conversation: time-series databases (TSDB) designed specifically for timestamped machine data, and data lakes that store everything in cheap object storage for batch analytics. Each has fierce advocates. Both have legitimate strengths. And most manufacturers end up needing elements of both.

Let's break it down without the vendor-driven religious wars.