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jgemignani pushed a commit to branch new-web
in repository https://gitbox.apache.org/repos/asf/age-website.git


The following commit(s) were added to refs/heads/new-web by this push:
     new 2ea38d3a Removed mysql, mariadb, agedb, google tag manager refs (#341)
2ea38d3a is described below

commit 2ea38d3abc9e805637e413a1c6b15c84207e3706
Author: Nick Sorrell <[email protected]>
AuthorDate: Thu Feb 13 16:26:24 2025 -0500

    Removed mysql, mariadb, agedb, google tag manager refs (#341)
    
    * Removed mysql, mariadb, agedb refs
    
    * Removing Google tag manager #338
---
 .gitignore                                         |  4 +++-
 gatsby-config.js                                   |  2 +-
 src/components/Layout.js                           | 23 +---------------------
 ...-hyperconnectivity-in-e-commerce-data-part-1.md |  1 -
 ...ing-with-graph-in-hyperconnected-data-part-2.md |  2 +-
 .../blog/2024-05-01-what-is-a-graph-database.md    |  4 ++--
 src/pages/faq/index.js                             |  1 -
 src/pages/getstarted/index.js                      |  1 -
 src/pages/overview/index.md                        | 16 ++-------------
 9 files changed, 10 insertions(+), 44 deletions(-)

diff --git a/.gitignore b/.gitignore
index 7978bb86..15340ebd 100644
--- a/.gitignore
+++ b/.gitignore
@@ -9,4 +9,6 @@ static/admin/*.bundle.*
 yarn-error.log
 docs/*
 venv/*
-static/age-manual/*
\ No newline at end of file
+static/age-manual/*
+.yarn
+.yarnrc.yml
\ No newline at end of file
diff --git a/gatsby-config.js b/gatsby-config.js
index c6bea035..aa21f1b3 100644
--- a/gatsby-config.js
+++ b/gatsby-config.js
@@ -3,7 +3,7 @@ module.exports = {
 
     title: "Apache AGE, Graph database optimized for fast analysis and 
real-time data processing. It is provided as an extension to PostgreSQL.",
 
-    description: "Apache AGE has been registered as an Apache Top level 
project since May 2022, and was inspired by AgensGraph developed by Bitnine, 
optimizing the graph database for fast analysis and real-time processing.",
+    description: "Apache AGE is a PostgreSQL extension that has been 
registered as an Apache Top level project since May 2022.",
   },
   pathPrefix: "/",
   plugins: [
diff --git a/src/components/Layout.js b/src/components/Layout.js
index 8acd6761..c209d4da 100644
--- a/src/components/Layout.js
+++ b/src/components/Layout.js
@@ -20,21 +20,6 @@ import favicon from '../../static/img/favicon.png';
 const TemplateWrapper = ({ children }) => {
   const { title, description } = useSiteMetadata();
 
-  const injectGA = () => {
-
-    if (typeof window == 'undefined') {
-      return;
-    }
-    window.dataLayer = window.dataLayer || [];
-    function gtag() {
-      window.dataLayer.push(arguments);
-    }
-    gtag('js', new Date());
-  
-    gtag('config', 'G-VPCE2QF63F');
-    gtag('config', 'G-XFVE1KJW91')
-  };
-
   const titleNameMapper = () => {
     const isBrowser = typeof window !== 'undefined';
     if (isBrowser) {
@@ -76,15 +61,9 @@ const TemplateWrapper = ({ children }) => {
             <meta charset="UTF-8" /> {/* 문자 집합 선언 추가 */}
             <link rel="icon" href={withPrefix('/img/favicon.png')} />
             <meta name="description" content={description} />
-            {/* Global site tag (gtag.js) - Google Analytics */}
-            <script async 
src="https://www.googletagmanager.com/gtag/js?id=G-VPCE2QF63F"; />
-            <script async 
src="https://www.googletagmanager.com/gtag/js?id=G-XFVE1KJW91"/>
-
             {/* Search Console New */}
             <meta name="google-site-verification" 
content="C4CIVL2dGO5hQM50NyalduCnsGIL9cRgtP8ilWhKWko" />
-            <script>
-                {injectGA()}
-            </script>
+            
             <link
               rel="apple-touch-icon"
               sizes="180x180"
diff --git 
a/src/pages/blog/2024-04-23-from-data-to-connections-leveraging-hyperconnectivity-in-e-commerce-data-part-1.md
 
b/src/pages/blog/2024-04-23-from-data-to-connections-leveraging-hyperconnectivity-in-e-commerce-data-part-1.md
index 27d62eb5..e654895a 100644
--- 
a/src/pages/blog/2024-04-23-from-data-to-connections-leveraging-hyperconnectivity-in-e-commerce-data-part-1.md
+++ 
b/src/pages/blog/2024-04-23-from-data-to-connections-leveraging-hyperconnectivity-in-e-commerce-data-part-1.md
@@ -57,6 +57,5 @@ In the MATCH clause, you can search the path you want to 
extract. In the {"(a: c
 
 As seen above, graph database queries exhibit hyperconnectivity implementation 
much more efficiently. Notably, Apache AGE stands out as a database with its 
hybrid query capability, enabling many including non-experts in graph queries 
and derive results using SQL. Being a PostgreSQL extension, Apache AGE offers 
the flexibility to leverage extensions tailored to specific situations and 
domains, enhancing its practicality and adaptability.
 
-Are you interested in learning more about Apache AGE? [Learn More 
Now](http://agedb.io/From-Data-to-Connections-Leveraging-Hyperconnectivity-in-E-commerce-Data.jsp#).
 
 <!--EndFragment-->
\ No newline at end of file
diff --git 
a/src/pages/blog/2024-04-23-learn-machine-learning-with-graph-in-hyperconnected-data-part-2.md
 
b/src/pages/blog/2024-04-23-learn-machine-learning-with-graph-in-hyperconnected-data-part-2.md
index ea29c32f..456cdee7 100644
--- 
a/src/pages/blog/2024-04-23-learn-machine-learning-with-graph-in-hyperconnected-data-part-2.md
+++ 
b/src/pages/blog/2024-04-23-learn-machine-learning-with-graph-in-hyperconnected-data-part-2.md
@@ -66,6 +66,6 @@ Figure 6. Example of Link Prediction in Apache AGE (Source: 
Missing Link Predict
 
 This article explored the concept of graph hyper-connection, the connection of 
table data from a relational database to a graph structure. By harnessing the 
power of hyperconnectivity between relational and graph databases, data can be 
managed flexibly, leading to the creation of new value through not only simple 
queries but also advanced analytics.
 
-To efficiently model and manage different types of data, an enterprise DBMS 
like AGEDB is an ideal solution. It enables the identification and management 
of relationships between data in tables, facilitating the extension of 
knowledge associations and enabling comprehensive analysis through graph-based 
approaches.
+To efficiently model and manage different types of data, an enterprise DBMS 
like PostgreSQL with Apache AGE is an ideal solution. It enables the 
identification and management of relationships between data in tables, 
facilitating the extension of knowledge associations and enabling comprehensive 
analysis through graph-based approaches.
 
 <!--EndFragment-->
\ No newline at end of file
diff --git a/src/pages/blog/2024-05-01-what-is-a-graph-database.md 
b/src/pages/blog/2024-05-01-what-is-a-graph-database.md
index 725447ed..5561590b 100644
--- a/src/pages/blog/2024-05-01-what-is-a-graph-database.md
+++ b/src/pages/blog/2024-05-01-what-is-a-graph-database.md
@@ -63,8 +63,8 @@ Apache AGE finds its utility in various domains, reflecting 
the versatility and
 
 
 * Social Networking: By managing vast networks of users and their 
interactions, Apache AGE can drive complex social graphs to deliver 
personalized content, suggest connections, and analyze trends.
-* Fraud Detection: In financial services, Apache AGE can help map transaction 
patterns to detect and prevent fraud more effectively by spotting anomalies in 
densely connected data. Learn more about it here: 
<https://agedb.io/the-role-of-graph-modeling-in-fraud-detection-systems.jsp>
-* Recommendation Engines: Retail and entertainment sectors use Apache AGE to 
analyze customer preferences and social interactions to recommend products or 
content. You can learn more about it in this blog article: 
<https://agedb.io/principle-of-a-recommendation-system-using-raph-database.jsp>
+* Fraud Detection: In financial services, Apache AGE can help map transaction 
patterns to detect and prevent fraud more effectively by spotting anomalies in 
densely connected data. 
+* Recommendation Engines: Retail and entertainment sectors use Apache AGE to 
analyze customer preferences and social interactions to recommend products or 
content. 
 * Network and IT Operations: Apache AGE can be used to monitor networks and 
manage IT infrastructure by providing insights into the relationships and 
dependencies among various IT components.
 
 
diff --git a/src/pages/faq/index.js b/src/pages/faq/index.js
index e3d6e523..2a2f31c3 100644
--- a/src/pages/faq/index.js
+++ b/src/pages/faq/index.js
@@ -79,7 +79,6 @@ class FAQ extends React.Component {
       answer: () => (
         <>
           <p>Apache AGE is an open source project and free to use.</p>
-          <p>But there are some vendors providing commercial support such as 
AGEDB in Canada.</p>
         </>
       ),
     },
diff --git a/src/pages/getstarted/index.js b/src/pages/getstarted/index.js
index f43dd866..b56b5de3 100644
--- a/src/pages/getstarted/index.js
+++ b/src/pages/getstarted/index.js
@@ -79,7 +79,6 @@ class FAQ extends React.Component {
       answer: () => (
         <>
           <p>Apache AGE is an open source project and free to use.</p>
-          <p>But there are some vendors providing commercial support such as 
AGEDB in Canada.</p>
         </>
       ),
     },
diff --git a/src/pages/overview/index.md b/src/pages/overview/index.md
index f8a5e586..804c366e 100644
--- a/src/pages/overview/index.md
+++ b/src/pages/overview/index.md
@@ -2,9 +2,7 @@
 templateKey: overview-page
 path: /about
 description: >-
-  AGE was under development since 2019 by a team of engineers at Bitnine 
Global Inc. The project, originally born out
-  of AgensGraph, a multi-model graph database fork of PostgreSQL, was donated 
to the Apache Software Foundation and entered
-  incubation in April 2020.
+  Apache AGE is a graph extension for PostgreSQL.
 bannerImg: /img/banner-overview.jpg
 bannerContents: >-
   # Introduction of AGE
@@ -26,18 +24,8 @@ subcon: >-
 
 Below is a brief overview of the AGE architecture, similar to the PostgreSQL 
architecture and backend. Every component runs on the PostgreSQL transaction 
cache layer and storage layer.
 
-**Apache AGE™** will be compatible with all relational databases in the future 
development, starting with MariaDB and MySQL.
 
-<br /><br /><br />
-
-<div class="Databases">
-
-![](/img/logo-large-postgresql.jpg)
-![](/img/logo-large-mariadb.jpg)
-![](/img/icon-Large-mysql.jpg)
-![](/img/to-be-continued...png)
-
-</div>
+<br />
 
 ---
 

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