---
title: Real-World Applications | Tiger Data Docs
description: See TimescaleDB in action across industries
---

**Tiger Data 101** → TimescaleDB | **Section:** What is TimescaleDB? | **⏱ Time:** \~3 min

## Real-world use cases

TimescaleDB powers data-intensive applications across industries:

### IoT ### IoT & Sensors sensors

Ingest millions of sensor readings per second from devices in the field: factory equipment, smart buildings, connected vehicles, and query them in real time.

### Financial data

Store and analyze tick data, OHLC price streams, order book events, and trade history with sub-millisecond precision and fast range queries.

### Application ### Application & Infrastructure Monitoring infrastructure monitoring

Centralize metrics from your entire stack: servers, containers, services, and power real-time dashboards and alerting without expensive proprietary tools.

### Analytics ### Analytics & Reporting reporting

Build always-fresh business dashboards over time-series events (clickstreams, transactions, user activity) using Continuous Aggregates instead of nightly batch jobs.

### Energy & Industrial

Monitor power grids, manufacturing lines, and HVAC systems, combining real-time anomaly detection with long-term trend analysis in a single database.

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## Summary ## Summary & Next Steps next steps

**What you learned:**

- Time-series data has unique characteristics (high write volume, append-only, time-filtered) that challenge general-purpose databases
- TimescaleDB is a PostgreSQL extension, not a replacement, that adds time-series superpowers while keeping full SQL compatibility
- Its three core pillars are **hypertables** (automatic partitioning), **hypercore** (columnar compression), and **Continuous Aggregates** (pre-computed rollups)
- It's used across IoT, finance, monitoring, analytics, and industrial applications

**Up next:**

- [Working with Time-Series Data](/learn/tiger-data-academy/tiger-data-101/working-with-time-series-data/what-makes-data-time-series/index.md) — deep-dive into what time-series data looks like and how to model it
- [Hypertables](/learn/tiger-data-academy/tiger-data-101/hypertables/what-is-a-hypertable/index.md) — learn how automatic partitioning works
- [Hypercore](/learn/tiger-data-academy/tiger-data-101/hypercore/row-based-vs-columnar-storage/index.md) — understand columnar storage and compression
- [Continuous Aggregates](/learn/tiger-data-academy/tiger-data-101/continuous-aggregates/the-problem-with-repeated-rollups/index.md) — master pre-computed rollups

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## Knowledge check

Test your understanding with this interactive quiz:

### Knowledge Check

Question 1 of 5

#### A. TimescaleDB is best described as:

A)A standalone time-series database that replaces PostgreSQLB)A PostgreSQL extension that adds time-series capabilitiesC)A cloud-only managed database service

Check Answer