Skip to content
TimescaleDB - Timeseries database for PostgreSQL Docs
  • Timescale.com
  • Try for free
Get started
Create your first Timescale service
Try the key Timescale features
Start coding with Timescale
About Timescale products
Timescale architecture for real-time analytics
Pricing plans and account management
Changelog
Use Timescale
Hypertables
Hypercore
Continuous aggregates
Tutorials
Integrations
API Reference
Migrate and sync data to Timescale Cloud
AI and Vector: pgai on Timescale
Other deployment options
Find a docs page
Use Timescale

Time buckets

Time buckets enable you to aggregate data in hypertables by time interval. For example, you can group data into 5-minute, 1-hour, and 3-day buckets to calculate summary values.

  • Learn how time buckets work in Timescale Cloud
  • Use time buckets to aggregate data

Keywords

time buckets

Found an issue on this page?Report an issue or Edit this page in GitHub.

PreviousTroubleshootingNextAbout time buckets

Related Content

Aggregate time-series data with time bucket
A time bucket function in Timescale Cloud helps you group data so you can perform aggregate calculations over required time intervals. Learn when and how to use time buckets
About time buckets
Learn how time buckets help you aggregate data by time interval for efficient and simple real-time analytics in Timescale Cloud
Jobs in Timescale Cloud
Increase efficiency and reduce overhead by automating routine tasks. Set up custom jobs on top of Timescale Cloud policies. Learn how to create them in your service
Alerting
Setting up database alerting can help monitor performance, data integrity, resource usage, and more. Timescale Cloud integrates with a variety of alerting tools within the PostgreSQL ecosystem
Query data
Query data in Timescale Cloud with SELECT, get faster queries with SkipScan, and run advanced analytis - all while getting extra benefits from Timescale Cloud architecture and query planning
Write data
Learn to write data in your Timescale Cloud service with SQL