A scheduled query that summarizes data from a source repository and writes results to a dedicated persisted aggregation repository. Results are stored as events and can be queried directly, independently of the source data. In LogScale;, persisted aggregations transform the platform from a log search tool into a hybrid analytics engine by pre-calculating and caching aggregated results such as count, average, sum, and percentiles on a fixed schedule. This eliminates the need for compute-intensive real-time aggregations, significantly reducing query latency and resource costs while enabling long-term retention of aggregated data at reduced storage costs. Persisted aggregations are particularly valuable for high-frequency analytic workloads such as dashboards, alerts, and baseline analysis where query speed and resource efficiency are priorities.