Beware the Real-Time Trap: Your Fresh Data Could Be Slowing Down Your Dashboards | HackerNoon

“Speed” in data engineering is a trade-off, not a single metric. To build effective systems, you must distinguish between two competing concepts:
– Data Latency (Freshness): How long it takes for an event to reach your report.
– Query Latency (Responsiveness): How long a user waits for a dashboard to load.
The Conflict: Optimizing for real-time freshness often slows down query performance because the system can’t pre-calculate data. Conversely, pre-calculating data for “snappy” dashboards usually requires batching, which makes data older.
The Bottom Line: Reducing latency has exponential costs. Success isn’t about being the “fastest”; it’s about choosing the right trade-offs between freshness, responsiveness, and budget based on specific business needs.