How it helps your business
Best for:IoT & Industrial MonitoringFinancial Data & Algorithmic TradingCloud Infrastructure & IT ObservabilityEnergy Sector & Smart MeteringSupply Chain & Fleet Management
TimescaleDB is a powerful, open-source time-series database that is built as an extension to PostgreSQL. This means you get the reliability, ecosystem, and ease of use of a world-class relational database, combined with the extreme performance and specialized features needed for time-series data.
With TimescaleDB, you don't have to choose between a flexible relational model and a fast time-series engine. It introduces "Hypertables"—an abstraction layer that automatically partitions your data into time-indexed chunks across multiple disks or nodes. This ensures that ingestion rates stay high and queries stay fast, even as your data grows into the billions of rows.
Self-hosting TimescaleDB provides organizations with a familiar but supercharged data platform that enables complex joins, advanced analytics, and extreme data compression while maintaining absolute data sovereignty.
Key Benefits
- No New Language to Learn: If you know SQL, you already know TimescaleDB.
- Relational Time-Series: Join your time-series data with metadata stored in relational tables effortlessly.
- Drastic Storage Efficiency: Use native column-based compression to store 10 years of data on the disk space of 1 year.
- Infinite Ecosystem: Use any existing PostgreSQL driver, visualization tool (like Grafana), or ORM.
- Proven Reliability: Built on the rock-solid foundation of PostgreSQL, the world's most trusted open-source DB.
Production Architecture Overview
A production TimescaleDB setup typically includes:
- TimescaleDB Instance: The PostgreSQL engine with the Timescale extension enabled.
- PostgreSQL Replicas: For high availability and read-scaling.
- Patroni: A template for high-availability cluster management.
- PgBouncer: A lightweight connection pooler to handle thousands of client connections.
- Storage: High-performance SSDs for the active data chunks and S3-compatible storage for archival.
How we deploy this for you
Security Hardened
Firewalls, SSL, and hardened kernels out of the box.
Performance Tuned
Optimized for speed with cache and DB fine-tuning.
Automated Backups
Daily off-site backups so you never lose your data.
Private Cloud
You own the server and the data. No middleman.
Implementation Blueprint
Prerequisites
sudo apt update && sudo apt upgrade -y
sudo apt install docker.io docker-compose -y
sudo systemctl enable docker
sudo systemctl start dockershell
Docker Compose Production Setup (Single Node)
Deployment using the pre-optimized TimescaleDB Docker image.
version: '3.8'
services:
timescaledb:
image: timescale/timescaledb:latest-pg15
container_name: timescaledb
ports:
- "5432:5432"
environment:
- POSTGRES_PASSWORD=strongpassword123
- TS_TUNE_MEMORY=2GB # Adjust based on host RAM
volumes:
- timescale_data:/var/lib/postgresql/data
restart: always
volumes:
timescale_data:Kubernetes Production Deployment (Recommended)
Use the official Timescale Helm Charts for high-availability clusters.
helm repo add timescale https://charts.timescale.com
helm install my-release timescale/timescaledb-single --namespace database --create-namespaceBenefits:
- Automated Failover: Integrated with Patroni to ensure a new master is promoted within seconds of failure.
- Scalable Backups: Integrated with pgBackRest for high-performance, differential archives.
- Monitoring: Pre-configured with Prometheus exporters and Grafana dashboards.
Scaling & Compression Strategy
- Enable Compression: Always enable compression on chunks older than 7 days to maximize performance and minimize disk usage.
- Tiered Storage: Use Timescale's multi-tier storage to move historical data to cheaper object storage (S3) automatically.
- Distributed Hypertables: For massive scale (terabytes per day), use multi-node TimescaleDB to shard data across a cluster.
Backup & Reliability
- pgBackRest: Use pgBackRest for ultra-reliable point-in-time recovery and full/differential backups.
- Health Checks: Monitor the health of your master and replicas to ensure continuous ingestion.
- Storage Monitoring: Closely monitor disk I/O and available space, especially during large data imports or compression cycles.
Includes Security & performance standards
Best place to host TimescaleDB
We recommend Hostinger for its reliability and low cost. It's the perfect home for your new apps, featuring easy setup and 24/7 support.
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