Prometheus for time-series databases
When your time series are Prometheus metrics, this maintained server (a community project from pab1it0, not an official build) is the right tool: it runs PromQL instant and range queries and discovers metrics and scrape targets. For time-series databases it is our third pick of three, which reflects scope rather than quality. Prometheus is a metrics system, so it fits this category only when the data in question is genuinely Prometheus metrics.
The server speaks the query model Prometheus uses, so an agent can answer operational time-series questions directly: what throughput looked like during an incident window, which series spiked, how this period compares to a prior one.
How Prometheus fits
The query tools are execute_query for a PromQL instant query and execute_range_query for a range query with start time, end time, and step interval, which together cover point-in-time and over-a-window questions. list_metrics enumerates metrics with pagination and filtering, get_metric_metadata reads a metric's metadata, and get_targets reports the scrape targets so the agent knows what is being collected. health_check confirms the server is reachable.
The honest framing against the siblings: InfluxDB is a purpose-built time-series database with SQL and line protocol, the stronger pick when you want a general TSDB rather than a metrics-scraping system, and when ingest shape matters. ClickHouse is the column store fast enough to hold time-series at large scale and run analytical queries over them, better when cardinality and volume are extreme. This Prometheus server is the right fit specifically when your time series live in Prometheus and PromQL is the language you want the agent to use; for a different storage or query model, the other two fit better.
Tools you would use
| Tool | What it does |
|---|---|
| health_check | Health-check endpoint for container monitoring and status verification. |
| execute_query | Executes a PromQL instant query against Prometheus. |
| execute_range_query | Executes a PromQL range query with start time, end time, and step interval. |
| list_metrics | Lists all available metrics in Prometheus, with pagination and filtering support. |
| get_metric_metadata | Gets metadata for one metric, or bulk metadata with optional filtering. |
| get_targets | Gets information about all scrape targets. |
FAQ
- When should I pick the Prometheus server over InfluxDB or ClickHouse?
- When your time series are already Prometheus metrics and you want the agent querying them in PromQL via execute_query and execute_range_query. InfluxDB fits a purpose-built TSDB with SQL and line protocol; ClickHouse fits time-series at very large scale in a column store.
- Does this server ingest time-series data?
- No. It queries an existing Prometheus instance and discovers what is there: execute_query and execute_range_query for PromQL, plus list_metrics, get_metric_metadata, and get_targets for discovery. Ingestion is handled by Prometheus's own scraping, not this server.