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Case Studies & Knowledge Check

Learn from real-world implementations

Module: Tiger Data 101 → An Introduction to TimescaleDB
Section: Putting TimescaleDB Into Action
Estimated time: 10–12 minutes total (this page: ~2 minutes)


ControlCom: 300+ million monthly data points

Section titled “ControlCom: 300+ million monthly data points”

Facility management company processes 300M+ data points monthly from HVAC and energy sensors.

Challenge: Manage cost and performance with massive data volumes.

Solution:

  • hypertables with daily chunks
  • hypercore compression after 7 days (15x reduction)
  • Tiering to S3 after 30 days
  • Hierarchical continuous aggregates for multi-resolution dashboards

Result: 90% storage cost reduction, real-time and historical analytics in one system.


Knowledge Check

Question 1 of 3

A. Which TimescaleDB policy automatically removes data older than a specified interval?