docs: simplify guides page and refine CN copy

Author: BohuTANG

docs/cn/guides/00-overview/index.md

@@ -11,39 +11,3 @@ import Speaker from '@site/src/components/Speaker'
 [**Databend**](https://github.com/databendlabs/databend) 是一款 100% Rust 打造、专为对象存储设计的新一代云原生数据仓库，为多模态数据提供统一的存储与计算。只需标准 SQL，即可在一个平台上轻松实现 BI 分析(Analytics)、AI 向量检索(Vector Database)、全文检索(Search)以及地理空间分析(Geospatial Analytics)；内置强大的 Stream + Task 能力，自动实现数据实时摄取、清洗与治理，彻底告别复杂 ETL 流程，让数据架构极致简洁，助您快速构建现代化数据平台。
 
 <DocsOverview />
-
-**核心功能概览：**
-
-**快速上手**
-
-- **[快速开始](/guides/self-hosted/quickstart)**: 使用 Docker 快速启动，轻松加载示例数据。
-- **[Databend Cloud](/guides/cloud)**: 启动 Serverless 数仓，轻松管理组织与数据。
-- **[连接 Databend](/guides/connect)**: 使用各类 SQL 客户端及编程语言连接 Databend。
-- **[SQL 参考](/sql)**: 浏览 Databend SQL 命令、函数及语法。
-
-**数据处理**
-
-- **[数据导入](/guides/load-data)**: 从多种数据源将数据导入 Databend。
-- **[数据导出](/guides/unload-data)**: 将数据导出为不同格式，适配下游需求。
-- **[半结构化数据](/sql/sql-functions/semi-structured-functions)**: 使用 VARIANT 类型处理 JSON、数组及嵌套数据。
-
-**多模态分析**
-
-- **[SQL 分析](/guides/query/sql-analytics)**: 基于共享会话表，统一处理分析、搜索、向量和地理空间任务。
-- **[JSON 与搜索](/guides/query/json-search)**: 利用倒排索引和 Elasticsearch 语法高效查询 VARIANT 数据。
-- **[向量数据库](/guides/query/vector-db)**: 存储向量数据（Embeddings）并进行语义相似度计算。
-- **[地理分析](/guides/query/geo-analytics)**: 使用地理空间 SQL 进行地图绘制与实时分析。
-- **[湖仓 ETL](/guides/query/lakehouse-etl)**: 将对象存储文件流式写入托管表，消除数据孤岛。
-
-**性能与扩展**
-
-- **[性能优化](/guides/performance)**: 利用多种策略提升查询性能。
-- **[基准测试](/guides/benchmark)**: 查看 Databend 与其他数仓的性能对比。
-- **[数据湖仓](/sql/sql-reference/table-engines)**: 无缝集成 Hive、Iceberg 和 Delta Lake。
-
-**社区与支持**
-
-- **[加入 Slack](https://link.databend.com/join-slack)**: 与核心团队及社区成员实时交流。
-- **[文档反馈](https://github.com/databendlabs/databend-docs/issues)**: 提交问题或改进建议。
-- **[路线图](https://github.com/databendlabs/databend/issues/14167)**: 跟踪功能规划与开发进度。
-- **[联系我们](mailto:[email protected])**: 获取直接帮助与支持。

docs/en/guides/00-overview/index.md

@@ -12,37 +12,3 @@ Welcome to the Databend (pronounced as /ˈdeɪtəˌbɛnd/)<Speaker /> documentat
 
 
 <DocsOverview />
-
-**Getting Started**
-
-- **[Quick Start](/guides/self-hosted/quickstart)**: Launch Databend with Docker and load sample data fast.
-- **[Databend Cloud](/guides/cloud)**: Spin up serverless warehouses and manage your organization.
-- **[Connect to Databend](/guides/connect)**: Connect with various SQL clients and programming languages.
-- **[SQL Reference](/sql)**: Browse Databend SQL commands, functions, and syntax.
-
-**Data Processing**
-
-- **[Data Loading](/guides/load-data)**: Import data from various sources into Databend.
-- **[Data Unloading](/guides/unload-data)**: Export data from Databend to different formats.
-- **[Semi-Structured Data](/sql/sql-functions/semi-structured-functions)**: Process JSON, arrays, and nested data with VARIANT type.
-
-**Unified Workloads**
-
-- **[SQL Analytics Guide](/guides/query/sql-analytics)**: Shared session tables for analytics, search, vector, and geo workloads.
-- **[JSON & Search Guide](/guides/query/json-search)**: Query VARIANT payloads with inverted indexes and Elasticsearch-style `QUERY`.
-- **[Vector Database Guide](/guides/query/vector-db)**: Store embeddings and run semantic similarity inside Databend.
-- **[Geo Analytics Guide](/guides/query/geo-analytics)**: Map incidents with geospatial SQL for real-time insights.
-- **[Lakehouse ETL Guide](/guides/query/lakehouse-etl)**: Stream object storage files into managed tables without silos.
-
-**Performance & Scale**
-
-- **[Performance Optimization](/guides/performance)**: Enhance query performance with various strategies.
-- **[Benchmarks](/guides/benchmark)**: Compare Databend performance with other data warehouses.
-- **[Data Lakehouse](/sql/sql-reference/table-engines)**: Seamless integration with Hive, Iceberg, and Delta Lake.
-
-**Community & Support**
-
-- **[Join Slack](https://link.databend.com/join-slack)**: Chat with the Databend community and core engineers.
-- **[Docs Issues](https://github.com/databendlabs/databend-docs/issues)**: Report problems or request new coverage.
-- **[Roadmap](https://github.com/databendlabs/databend/issues/14167)**: Track upcoming features and share feedback.
-- **[Email Us](mailto:[email protected])**: Reach the team directly when you need help.

i18n/en/code.json

@@ -877,6 +877,10 @@
     "message": "Support",
     "description": "Enterprise metric value"
   },
+  "Enterprise Support": {
+    "message": "Enterprise Support",
+    "description": "Enterprise metric label"
+  },
   "Install Locally": {
     "message": "Install Locally",
     "description": "CTA button text for self-hosted quickstart"

i18n/zh/code.json

@@ -758,7 +758,7 @@
     "description": "Getting Started description"
   },
   "Choose Cloud (managed) or Enterprise (self-hosted).": {
-    "message": "选择 Cloud（托管）或 Enterprise（自建）。",
+    "message": "选择 Databend Cloud（云端产品）或 Databend Enterprise（本地部署）。",
     "description": "Getting Started hint under title"
   },
   "Recommended": {
@@ -774,11 +774,11 @@
     "description": "CTA button text for Databend Cloud"
   },
   "Cold Start": {
-    "message": "冷启动",
+    "message": "毫秒级启动",
     "description": "Cold Start metric label"
   },
   "Free Credits": {
-    "message": "免费额度",
+    "message": "代金券",
     "description": "Free credits metric label"
   },
   "Type II": {
@@ -806,7 +806,7 @@
     "description": "Enterprise badge"
   },
   "Self-hosted on the open-source core, with enterprise support.": {
-    "message": "基于开源核心自建部署，并提供企业级支持。",
+    "message": "基于开源内核本地部署，提供企业功能与支持。",
     "description": "Databend Enterprise card description"
   },
   "Deploy": {
@@ -829,8 +829,12 @@
     "message": "支持",
     "description": "Enterprise metric value"
   },
+  "Enterprise Support": {
+    "message": "企业支持",
+    "description": "Enterprise metric label"
+  },
   "Install Locally": {
-    "message": "本地安装",
+    "message": "本地部署",
     "description": "CTA button text for self-hosted quickstart"
   },
   "Deploy on your infrastructure. Full control over data and environment.": {

src/components/DocsOverview/index.tsx

@@ -58,6 +58,7 @@ const DocsOverview: FC = (): ReactElement => {
   } = useDocusaurusContext();
   const history = useHistory();
   const cloudAppUrl = isChina ? "https://app.databend.cn" : "https://app.databend.com";
+  const cloudCreditsValue = isChina ? "200元" : "$200";
   return (
     <div className={styles.outWrap}>
 
@@ -169,7 +170,7 @@ const DocsOverview: FC = (): ReactElement => {
                       <span className={styles.metricLabel}>{$t("Cold Start")}</span>
                     </div>
                     <div className={styles.metric}>
-                      <span className={styles.metricValue}>$200</span>
+                      <span className={styles.metricValue}>{cloudCreditsValue}</span>
                       <span className={styles.metricLabel}>{$t("Free Credits")}</span>
                     </div>
                     <div className={styles.metric}>
@@ -228,7 +229,7 @@ const DocsOverview: FC = (): ReactElement => {
                     </div>
                     <div className={styles.metric}>
                       <span className={styles.metricValue}>{$t("Support")}</span>
-                      <span className={styles.metricLabel}>{$t("Enterprise")}</span>
+                      <span className={styles.metricLabel}>{$t("Enterprise Support")}</span>
                     </div>
                   </div>
                   <div className={styles.productCardCtas}>