From 3515e6a41c565928988c7187039b7c890971bcb9 Mon Sep 17 00:00:00 2001 From: Dan Gallagher Date: Wed, 31 Jan 2024 15:37:29 -0500 Subject: [PATCH] mention another case where columnar storage shines --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 7d42a93..1686de2 100644 --- a/README.md +++ b/README.md @@ -11,6 +11,7 @@ There are a number of situations where column-oriented storage outperforms row-o * Timeseries data storage and analysis * Analytical queries over many rows and a few columns (e.g. calculating the average temperature over months of hourly weather data) * Change tracking, history/temporal tables +* Anchor modeling / Datomic-like data models Stanchion is an ideal fit for analytical queries and wide tables because it only scans data from the columns that are referenced by a given query. It uses compression techniques like run length and bit-packed encodings that significantly reduce the size of stored data, greatly reducing the cost of large data sets. This makes it an ideal solution for storing large, expanding datasets.