diff --git a/data/products/kubedb/databases/mssqlserver.json b/data/products/kubedb/databases/mssqlserver.json
index 1471d9444e..6089fa643f 100644
--- a/data/products/kubedb/databases/mssqlserver.json
+++ b/data/products/kubedb/databases/mssqlserver.json
@@ -1,7 +1,7 @@
 {
   "name": "Microsoft SQL Server",
   "id": "mssqlserver",
-  "title": "Run and Manage Apache Microsoft SQL Server on Kubernetes",
+  "title": "Run and Manage Microsoft SQL Server on Kubernetes",
   "hero": "/assets/images/databases/illustrations/kc-bg.png",
   "summary": "Provision, Upgrade, Scaling, Volume Expansion, Monitor, Backup & Restore, Security for Microsoft SQL Server Databases in Kubernetes on any Public & Private Cloud",
   "description": "As the world’s enterprises rapidly move to the cloud, and containers are taking over the world of software development, Kubernetes is the platform that lets users seamlessly deploy, scale, run containers, and manage their application life-cycle.  <br />  <br />But, running databases and stateful applications in Kubernetes has always been a challenge. And it is really difficult to **Run and Manage Production-Grade Databases on Kubernetes**. Every Enterprise needs a Production-Grade operator to deploy its databases and manage its life cycle on Kubernetes. <br />   <br />KubeDB is the leader in Kubernetes Native Database Management Solutions which simplifies and automates routine database tasks such as **Provisioning, Monitoring, Upgrading, Patching, Scaling, Volume Expansion, Backup & Restore, Failure detection, and Recovery** for various popular databases on private and public clouds. KubeDB developed the first-ever Production-Grade **Kubernetes operator for Microsoft SQL Server** to manage its Day-2 operations. KubeDB is a managed DBaaS that allows developers to run their databases alongside the respective application. You can simply deploy a Microsoft SQL Server server on Kubernetes and manage its Day-2 operations via KubeDB Microsoft SQL Server Operator.",
diff --git a/data/products/kubedb/databases/pgpool.json b/data/products/kubedb/databases/pgpool.json
index ed4847d864..0e97ac10d1 100644
--- a/data/products/kubedb/databases/pgpool.json
+++ b/data/products/kubedb/databases/pgpool.json
@@ -1,7 +1,7 @@
 {
   "name": "Pgpool",
   "id": "pgpool",
-  "title": "Run and Manage Apache Pgpool on Kubernetes",
+  "title": "Run and Manage Pgpool on Kubernetes",
   "hero": "/assets/images/databases/illustrations/kc-bg.png",
   "summary": "Provision, Upgrade, Scaling, Volume Expansion, Monitor, Backup & Restore, Security for Pgpool Databases in Kubernetes on any Public & Private Cloud",
   "description": "As the world’s enterprises rapidly move to the cloud, and containers are taking over the world of software development, Kubernetes is the platform that lets users seamlessly deploy, scale, run containers, and manage their application life-cycle.  <br />  <br />But, running databases and stateful applications in Kubernetes has always been a challenge. And it is really difficult to **Run and Manage Production-Grade Databases on Kubernetes**. Every Enterprise needs a Production-Grade operator to deploy its databases and manage its life cycle on Kubernetes. <br />   <br />KubeDB is the leader in Kubernetes Native Database Management Solutions which simplifies and automates routine database tasks such as **Provisioning, Monitoring, Upgrading, Patching, Scaling, Volume Expansion, Backup & Restore, Failure detection, and Recovery** for various popular databases on private and public clouds. KubeDB developed the first-ever Production-Grade **Kubernetes operator for Pgpool** to manage its Day-2 operations. KubeDB is a managed DBaaS that allows developers to run their databases alongside the respective application. You can simply deploy a Pgpool server on Kubernetes and manage its Day-2 operations via KubeDB Pgpool Operator.",
diff --git a/data/products/kubedb/databases/rabbitmq.json b/data/products/kubedb/databases/rabbitmq.json
index da0426e306..6fb8607e9c 100644
--- a/data/products/kubedb/databases/rabbitmq.json
+++ b/data/products/kubedb/databases/rabbitmq.json
@@ -1,7 +1,7 @@
 {
   "name": "RabbitMQ",
   "id": "rabbitmq",
-  "title": "Run and Manage Apache RabbitMQ on Kubernetes",
+  "title": "Run and Manage RabbitMQ on Kubernetes",
   "hero": "/assets/images/databases/illustrations/kc-bg.png",
   "summary": "Provision, Upgrade, Scaling, Volume Expansion, Monitor, Backup & Restore, Security for RabbitMQ Databases in Kubernetes on any Public & Private Cloud",
   "description": "As the world’s enterprises rapidly move to the cloud, and containers are taking over the world of software development, Kubernetes is the platform that lets users seamlessly deploy, scale, run containers, and manage their application life-cycle.  <br />  <br />But, running databases and stateful applications in Kubernetes has always been a challenge. And it is really difficult to **Run and Manage Production-Grade Databases on Kubernetes**. Every Enterprise needs a Production-Grade operator to deploy its databases and manage its life cycle on Kubernetes. <br />   <br />KubeDB is the leader in Kubernetes Native Database Management Solutions which simplifies and automates routine database tasks such as **Provisioning, Monitoring, Upgrading, Patching, Scaling, Volume Expansion, Backup & Restore, Failure detection, and Recovery** for various popular databases on private and public clouds. KubeDB developed the first-ever Production-Grade **Kubernetes operator for RabbitMQ** to manage its Day-2 operations. KubeDB is a managed DBaaS that allows developers to run their databases alongside the respective application. You can simply deploy a RabbitMQ server on Kubernetes and manage its Day-2 operations via KubeDB RabbitMQ Operator.",
diff --git a/data/products/kubedb/databases/singlestore.json b/data/products/kubedb/databases/singlestore.json
index 08e7558303..9560ba718a 100644
--- a/data/products/kubedb/databases/singlestore.json
+++ b/data/products/kubedb/databases/singlestore.json
@@ -1,7 +1,7 @@
 {
   "name": "SingleStore",
   "id": "singlestore",
-  "title": "Run and Manage Apache SingleStore on Kubernetes",
+  "title": "Run and Manage SingleStore on Kubernetes",
   "hero": "/assets/images/databases/illustrations/kc-bg.png",
   "summary": "Provision, Upgrade, Scaling, Volume Expansion, Monitor, Backup & Restore, Security for SingleStore Databases in Kubernetes on any Public & Private Cloud",
   "description": "As the world’s enterprises rapidly move to the cloud, and containers are taking over the world of software development, Kubernetes is the platform that lets users seamlessly deploy, scale, run containers, and manage their application life-cycle.  <br />  <br />But, running databases and stateful applications in Kubernetes has always been a challenge. And it is really difficult to **Run and Manage Production-Grade Databases on Kubernetes**. Every Enterprise needs a Production-Grade operator to deploy its databases and manage its life cycle on Kubernetes. <br />   <br />KubeDB is the leader in Kubernetes Native Database Management Solutions which simplifies and automates routine database tasks such as **Provisioning, Monitoring, Upgrading, Patching, Scaling, Volume Expansion, Backup & Restore, Failure detection, and Recovery** for various popular databases on private and public clouds. KubeDB developed the first-ever Production-Grade **Kubernetes operator for SingleStore** to manage its Day-2 operations. KubeDB is a managed DBaaS that allows developers to run their databases alongside the respective application. You can simply deploy a SingleStore server on Kubernetes and manage its Day-2 operations via KubeDB SingleStore Operator.",