DriteStudio
DRITESTUDIOCloud Infrastructure
Home
ArticlesAbout UsContactStatus
0%
TimescaleDB PostgreSQL Time-Series: Setup Hypertable Compression 1000x Faster
Back to articles

TimescaleDB PostgreSQL Time-Series: Setup Hypertable Compression 1000x Faster

TimescaleDB Postgres extension hypertables continuous aggregates 90% compression 1M inserts/s IoT DevOps monitoring Docker setup production schema

Software-July 20, 2025-Updated: February 24, 2026

TimescaleDB คือ PostgreSQL Extension สำหรับ Time-Series Data: เร็ว 1000x บีบอัด 90% TimescaleDB เปลี่ยน PostgreSQL ให้เป็น time-series database ชั้นนำ ใช้ hypertables แบ่ง chunk อัตโนมัติ ACID compliant รองรับ IoT monitoring DevOps metrics

TimescaleDB vs PostgreSQL Performance

MetricPostgreSQLTimescaleDB
Insert Speed10K rows/s1M+ rows/s
Query Speed100ms0.1ms
Storage100GB10GB (90% less)
Compression❌95% native

Core Features

✅ Hypertables: Auto-partition by time
✅ Continuous Aggregates: Materialized views
✅ Compression: 90-95% storage reduction
✅ Retention Policies: Auto-drop old data
✅ SQL 100%: Full PostgreSQL features

Quick Setup & Hypertable

-- 1. Enable extension
CREATE EXTENSION timescaledb;
-- 2. Create hypertable (1 command!)
CREATE TABLE metrics (
  time TIMESTAMPTZ NOT NULL,
  device_id TEXT,
  value DOUBLE PRECISION
);
SELECT create_hypertable('metrics', 'time');
-- 3. Insert 1M rows/second
INSERT INTO metrics (time, device_id, value) 
VALUES (NOW(), 'sensor1', 23.5);
-- 4. Fast queries
SELECT time_bucket('1 hour', time) AS hour,
       AVG(value) FROM metrics 
GROUP BY hour ORDER BY hour DESC;

Production Use Cases

📊 DevOps: Prometheus remote storage
🔌 IoT: Sensor data (1M+ devices)
💰 Fintech: Tick data/trades
🎮 Gaming: Player metrics
🌡️ Observability: Cloudflare/Netflix

Continuous Aggregates (Magic)

-- Auto-aggregate every 5min
CREATE MATERIALIZED VIEW hourly_avg
WITH (timescaledb.continuous) AS
SELECT time_bucket('1 hour', time) AS hour,
       AVG(value) AS avg_temp
FROM metrics GROUP BY hour;
-- Auto-refreshed, query like normal table
SELECT * FROM hourly_avg WHERE hour > NOW() - INTERVAL '1 day';

Compression Setup

-- Compress chunks > 7 days old
ALTER TABLE metrics SET (
  timescaledb.compress,
  timescaledb.compress_segmentby = 'device_id'
);
-- 90% storage reduction, 15x query speedup
SELECT * FROM metrics_compressed;

Docker Production Setup

# docker-compose.yml
services:
  postgres:
    image: timescale/timescaledb:latest-pg16
    environment:
      POSTGRES_DB: metrics
      POSTGRES_PASSWORD: password
    ports:
      - "5432:5432"
    volumes:
      - pgdata:/var/lib/postgresql/data
volumes:
  pgdata:

Schema Best Practices

✅ time TIMESTAMPTZ first column
✅ Partition: time_bucket('1h', time)
✅ Index: CREATE INDEX ON metrics (device_id, time DESC)
✅ Compress: >7 days old
✅ Retain: 90 days policy

Cloud Options 2026

ProviderManagedPrice
Timescale Cloud✅ Serverless$0.02/GB
Aiven✅$0.10/GB
AWS RDSManual$0.15/GB
Supabase✅$0.05/GB
Share article:
View more articles
D

DriteStudio | ไดรท์สตูดิโอ

Cloud, VPS, Hosting and Colocation provider in Thailand

Operated by Craft Intertech (Thailand) Co., Ltd.

DRITESTUDIOCloud Infrastructure

100/280 Soi 17, Delight Village, Bang Khun Thian - Chaitalay, Phanthai Norasing, Samut Sakhon 74000

Services

  • VPS Hosting
  • Dedicated Server
  • Web Hosting
  • Security Solutions

Company

  • About Us
  • Contact Us
  • System Status

Support

  • Support Ticket
  • Documentation
  • Help Center

© 2026 Craft Intertech (Thailand) Co., Ltd. All rights reserved.

Privacy PolicyTerms of ServiceRefund Policy

We use cookies

We use cookies to enhance your browsing experience, analyze site traffic, and personalize content. By clicking "Accept All", you consent to our use of cookies. Privacy Policy