diff --git a/content/roadmaps/101-backend/content/108-more-about-databases/107-sharding-strategies.md b/content/roadmaps/101-backend/content/108-more-about-databases/107-sharding-strategies.md
index 7ef6ad807..fd03a5dc3 100644
--- a/content/roadmaps/101-backend/content/108-more-about-databases/107-sharding-strategies.md
+++ b/content/roadmaps/101-backend/content/108-more-about-databases/107-sharding-strategies.md
@@ -1,8 +1,9 @@
 # Sharding strategies
 
-Sharding strategy is a technique to split a large dataset into smaller chunks (logical shard) in which we distribute these chunks in different machines/database nodes in order to distribute the traffic load. It’s a good mechanism to improve the scalability of an application. 
+Sharding strategy is a technique to split a large dataset into smaller chunks (logical shard) in which we distribute these chunks in different machines/database nodes in order to distribute the traffic load. It’s a good mechanism to improve the scalability of an application. Many databases support sharding, but not all.
 
 <ResourceGroupTitle>Free Content</ResourceGroupTitle>
 
 <BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/database-sharding-a-system-design-concept/'>Database Sharding – System Design Interview Concept</BadgeLink>
+<BadgeLink colorScheme='yellow' badgeText='Read' href='https://en.wikipedia.org/wiki/Shard_(database_architecture)'>Wikipedia - Sharding in Datbase Architectures</BadgeLink>
 <BadgeLink colorScheme='yellow' badgeText='Read' href='https://stackoverflow.blog/2022/03/14/how-sharding-a-database-can-make-it-faster/'>How sharding a database can make it faster</BadgeLink>