Time Series Databases Explained | InfluxDB, Prometheus, TimescaleDB & More

How do Netflix monitor servers in real time, stock markets process millions of trades per second, or your smartwatch record every heartbeat? The answer lies in Time Series Databases (TSDBs). In this video, we’ll cover: ✅ What time series data is ✅ Why normal SQL databases (MySQL/Postgres) struggle with time series ✅ Key features of TSDBs (high ingestion, time-range queries, retention, downsampling, compression) ✅ Real-world use cases — IoT, monitoring, finance, science ✅ Popular TSDBs — InfluxDB, Prometheus, TimescaleDB, QuestDB, VictoriaMetrics, KDB+ ✅ How InfluxDB stores data (WAL → Memory → TSM → TSI) ✅ Sample queries and downsampling example ✅ ClickHouse & Redshift for time series workloads ✅ Data Compression / Compaction If you’re into system design, data engineering, or DevOps, this video will help you understand why TSDBs are critical in modern systems. 📌 Don’t forget to Like 👍, Subscribe 🔔, and Comment 💬 on your experience with time series databases. #timeseries #databases #influxdb #prometheus #systemdesign #devops #dataengineering