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Prometheus vs Alopex Skulk
Prometheus scraping, local time-series storage and remote storage integration, compared with Alopex Skulk.
Updated: Oct 13, 2026
What Prometheus is
Prometheus is an open source monitoring and alerting system. It collects and stores metrics as time series and queries them with PromQL.
How it works
- Scraping: the Prometheus server pulls metrics from monitored endpoints at regular intervals.
- Local storage: collected time series are stored on the server’s local disk.
- PromQL: the query language for selecting and aggregating time series.
Main features
- PromQL queries and alerting rules.
- Automatic discovery of targets through service discovery.
- Interfaces for writing to and reading from remote storage.
Limits
According to the official documentation, local storage is neither clustered nor replicated, and is not durable against drive or node outages. Long-term storage requires another product as remote storage. The Prometheus server is operated separately from the application.
How it differs from Alopex Skulk
Both store metric time series and query them with PromQL.
Alopex Skulk is a time-series engine written in Rust that grows from embedded to server to cluster on the same engine. Start small by embedding it in your application, then move the same application to a server with Prometheus-compatible endpoints and to a cluster that scales out with sharding and replication. In every form it ingests time series, queries them with PromQL and SQL, stores them in time-partitioned, columnar Parquet files, and drops expired partitions automatically. It also accepts the Prometheus remote write format, so an existing Prometheus can send data to it. The same data can be aggregated with SQL, and sharding and replication scale it out and protect it against node outages.
We recommend Alopex Skulk for reading the same metrics with PromQL and SQL, from inside your application to a cluster. Try it from the Alopex Skulk page.