What this API does
The TimescaleDB API extends the powerful PostgreSQL database with specialized time-series data management capabilities, optimized for handling high-volume metrics and IoT datasets efficiently. Key features include hypertables which simplify data partitioning to scale effortlessly, continuous aggregates that enable automatic real-time data summarization, and hyperfunctions designed to accelerate advanced time-series analytics such as gap-filling and data interpolation.
How it works
Developers can interface with TimescaleDB using standard SQL queries or RESTful endpoints, ensuring seamless integration with existing PostgreSQL environments without requiring a new query language. The API supports high-throughput inserts and fast queries, making it ideal for monitoring, analytics, and real-time dashboards.
Authentication
Authentication details are not provided in the documentation. Users are encouraged to refer to the official documentation for specifics on authentication methods.
Example usage
POST /api/v1/data- Inserts data into a specified time-series table.GET /api/v1/metrics- Retrieves aggregated metrics over a specified time range.GET /api/v1/status- Returns the current status of the TimescaleDB instance.GET /api/v1/analytics- Executes a predefined analytical query on the time-series data.
Limits
Specific rate limits and other usage constraints are not documented. Please refer to the official documentation for more details.
Ideal use cases
- Monitoring and analyzing IoT sensor data.
- Building real-time dashboards for performance metrics.
- Storing and querying large volumes of time-series data.
- Implementing automated reporting systems for data analytics.