From edec9d67f6d380975b5b88458fe3e2fc152261df Mon Sep 17 00:00:00 2001 From: LudwikJaniuk Date: Wed, 12 Jun 2019 14:12:47 +0200 Subject: [PATCH] Update README.md Co-Authored-By: Qix --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 35dfb7d0d..8b7edc03e 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ Redis is often referred as a *data structures* server. What this means is that R Data structures implemented into Redis have a few special properties: -* Redis cares to store them on disk, even if they are always served and modified into the server memory. This means that Redis is fast, but that it is also non-volatile. +* Redis cares to store them on disk, even if they are always served and modified into the server memory. This means that Redis is fast, but also non-volatile. * Implementation of data structures stress on memory efficiency, so data structures inside Redis will likely use less memory compared to the same data structure modeled using an high level programming language. * Redis offers a number of features that are natural to find in a database, like replication, tunable levels of durability, cluster, high availability.