Timescale
The PostgreSQL-based cloud database for time-series, events, and analytics at petabyte scale.
SQL Functions
200+
Query Speed-up
10x to 40x
Built On
PostgreSQL
About Timescale
Timescale enhances PostgreSQL with critical features for handling petabyte-scale time-series data. Its architecture includes automatic time-and-key based partitioning for fast reads/writes, a row-columnar storage system for both transactional and analytical efficiency, and tiered storage to manage data between hot SSDs and low-cost object storage. For analytics, it provides over 200 specialized SQL functions for time-based analysis. Developers can interact with it using the native Postgres interface via SQL, APIs, and various ecosystem tools. Timescale offers a fully-managed cloud platform (Timescale Cloud) and a self-hosted enterprise edition for on-premise or private cloud deployments, ensuring high availability, security, and compliance.
Core Database Features
Automatic Partitioning
Time- and key-based partitioning for fast reads and writes.
Row-Columnar Storage
Row storage for writes, columnar storage for analytics, with compression.
Tiered Storage
Automatically moves hot data to SSD and colder data to low-cost object storage.
Lakehouse Integration
Ingest from Kafka and S3, replicate to Iceberg.
Platform & Security
Deployment Options
Managed cloud platform (Timescale Cloud) or self-managed enterprise for on-prem, edge, and private cloud.
Security
Encryption at rest and in transit, private networking, and access controls.
Compliance
SOC 2 Type II, GDPR support, and enterprise security standards.
Reliability
High availability, automated backups, and point-in-time recovery.