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QuestDB vs Alopex Skulk
QuestDB columnar time-partitioned storage, SQL time-series extensions and Enterprise features, compared with Alopex Skulk.
Updated: Oct 13, 2026
What QuestDB is
QuestDB is an open source time-series database built for low latency. It is written mainly in Java, with C++ and Rust components.
How it works
- Storage: a columnar, time-partitioned storage engine.
- Queries: SQL extended with time-series operations such as SAMPLE BY.
- Server: applications connect to the QuestDB server to write and query.
Main features
- Time-bucketed aggregation (SAMPLE BY) and joins that match on timestamps.
- Ingestion in the InfluxDB write format.
- A web console.
Limits
Replication with automatic failover and tiered storage are features of QuestDB Enterprise. The open source edition runs only as a server separate from the application.
How it differs from Alopex Skulk
Both store data in columnar, time-partitioned form and aggregate time series with SQL.
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. The same data can be read with PromQL, and the Parquet files open directly in other tools. Replication comes with the same engine as you scale.
Try Alopex Skulk to start ingestion and aggregation inside your application and take it straight to a replicated cluster. Start from Alopex Skulk.