diff --git a/app/vmalert/README.md b/app/vmalert/README.md
index 0d4b3c421..8c9beb020 100644
--- a/app/vmalert/README.md
+++ b/app/vmalert/README.md
@@ -526,6 +526,9 @@ Check how to replace it with [cluster VictoriaMetrics](#cluster-victoriametrics)
 
 #### Downsampling and aggregation via vmalert
 
+_Please note, [stream aggregation](https://docs.victoriametrics.com/stream-aggregation.html) might be more efficient
+for cases when downsampling or aggregation need to be applied **before data gets into the TSDB.**_
+
 `vmalert` can't modify existing data. But it can run arbitrary PromQL/MetricsQL queries
 via [recording rules](#recording-rules) and backfill results to the configured `-remoteWrite.url`.
 This ability allows to aggregate data. For example, the following rule will calculate the average value for
diff --git a/docs/stream-aggregation.md b/docs/stream-aggregation.md
index 79fd838e9..b277f1003 100644
--- a/docs/stream-aggregation.md
+++ b/docs/stream-aggregation.md
@@ -13,7 +13,7 @@ aliases:
 # streaming aggregation
 
 [vmagent](https://docs.victoriametrics.com/vmagent.html) and [single-node VictoriaMetrics](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html)
-can aggregate incoming [samples](https://docs.victoriametrics.com/keyConcepts.html#raw-samples) in streaming mode by time and by labels.
+can aggregate incoming [samples](https://docs.victoriametrics.com/keyConcepts.html#raw-samples) in streaming mode by time and by labels before data is written to remote storage.
 The aggregation is applied to all the metrics received via any [supported data ingestion protocol](https://docs.victoriametrics.com/#how-to-import-time-series-data)
 and/or scraped from [Prometheus-compatible targets](https://docs.victoriametrics.com/#how-to-scrape-prometheus-exporters-such-as-node-exporter).
 
diff --git a/docs/vmalert.md b/docs/vmalert.md
index 0e9db295b..8c2d59960 100644
--- a/docs/vmalert.md
+++ b/docs/vmalert.md
@@ -537,6 +537,9 @@ Check how to replace it with [cluster VictoriaMetrics](#cluster-victoriametrics)
 
 #### Downsampling and aggregation via vmalert
 
+_Please note, [stream aggregation](https://docs.victoriametrics.com/stream-aggregation.html) might be more efficient
+for cases when downsampling or aggregation need to be applied **before data gets into the TSDB.**_
+
 `vmalert` can't modify existing data. But it can run arbitrary PromQL/MetricsQL queries
 via [recording rules](#recording-rules) and backfill results to the configured `-remoteWrite.url`.
 This ability allows to aggregate data. For example, the following rule will calculate the average value for