Here’s why:

🔄 Optimized for Time-Stamping: Historians are built to handle time-stamped data efficiently. SQL wasn’t designed with this in mind, often leading to performance bottlenecks.

⚡ Real-Time Data Ingestion: Time-series databases can process thousands of updates per second without breaking a sweat. SQL? Not so much.

📊 Efficient Queries for Trends: Want to visualize trends or run analytics over millions of data points? A historian simplifies this process, while SQL can choke on these operations.

💾 Compression and Storage Efficiency: Historians use algorithms tailored for time-series compression, saving you storage space while keeping performance high.

🚀 Scalability: Growing datasets are a nightmare for SQL performance, but historians scale effortlessly to accommodate your data growth.

If your SCADA system is struggling to keep up or your analytics are slow, it might be time to look into a separate historian.
Let your time-series data work for you—not against you.