docs: refresh guides homepage messaging

bohutang · bohutang · commit 5ecdeec7334a · 2025-10-24T10:57:31.000+08:00
diff --git a/docs/en/guides/00-products/index.md b/docs/en/guides/00-products/index.md
@@ -12,17 +12,21 @@ Welcome to the Databend (pronounced as /ˈdeɪtəˌbɛnd/)<Speaker /> documentat
 cn=
 '
 
-**Databend** 是新一代云原生 **[数据+AI] 分析平台**，支持结构化、半结构化和非结构化多模态数据。
+**Databend** —— ANY DATA. ANY SCALE. ONE DATABASE.
 
-作为 **Snowflake 的开源替代方案**，具有**近 100% SQL 兼容性**和原生 AI 能力，受到世界级企业信赖，管理着 **800+ PB** 数据和**每日 1 亿+** 查询。
+内置存储、向量、分析、搜索与地理空间引擎共享一套 Snowflake 兼容 SQL 接口，让团队可以存任何数据、查任何内容、驱动语义工作负载，并实时交付洞察而无需搬运数据。
+
+无论是 Databend Cloud、Docker 自托管还是 `pip install databend`，统一引擎都直接运行在你的对象存储之上。
 
 '
 en=
 '
 
-**Databend** is the multimodal cloud **[Data+AI]** warehouse bringing structured, semi-structured, unstructured, and vector data together in native columnar storage that runs directly on your object store—your data is ready the moment it lands.
+**Databend** — **ANY DATA. ANY SCALE. ONE DATABASE.**
+
+**Open-source** datastore, vector, analytics, search, and geospatial engines converge on one **Snowflake-compatible SQL surface** so teams store anything, search everything, power semantic workloads, and deliver real-time insights without moving data.
 
-Built-in Datastore, Vector Database, Analytics, Search, and Geospatial engines converge on one Snowflake-compatible SQL surface, so teams store anything, search everything, power semantic workloads, and deliver real-time insights without moving data.
+Explore the engine on [**GitHub**](https://github.com/databendlabs/databend). Launch in Databend Cloud, `docker run`, or `pip install databend`—every option runs the same unified engine on your object store.
 
 '/>
 
@@ -31,20 +35,30 @@ Built-in Datastore, Vector Database, Analytics, Search, and Geospatial engines c
 **Here are some entries you might want to learn about**
 
 **Getting Started**
-- **[SQL Reference](/sql)**: Your swift-access guide for Databend essentials!
+- **[Quick Start](/guides/deploy/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/sql-clients)**: 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.
 
-**AI & Advanced Analytics**
-- **[Databend AI and ML](/guides/ai-functions)**: Leverage AI capabilities in your data processing.
-- **[Vector Functions](/sql/sql-functions/vector-functions)**: Vector similarity and distance calculations for ML workloads.
-- **[Full-Text Search](/guides/performance/fulltext-index)**: Advanced text search and relevance scoring.
+**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 Lucene-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:hi@databend.com)**: Reach the team directly when you need help.
diff --git a/i18n/en/code.json b/i18n/en/code.json
@@ -681,9 +681,9 @@
     "message": "Product Features",
     "description": "Product Features"
   },
-  "10x Faster Performance": {
-    "message": "10x Faster Performance",
-    "description": "10x Faster Performance"
+  "Unified Engine": {
+    "message": "Unified Engine",
+    "description": "Headline for unified engine feature"
   },
   "NoDesc": {
     "message": "FeedBack",
@@ -693,49 +693,21 @@
     "message": "*Please describe the specific errors or issues that you have identified in the document (such as: content mistakes, process getting stuck and unable to proceed, layout problems, broken links, etc.)",
     "description": "Please describe the specific errors or issues that you have identified in the document (such as: content mistakes, process getting stuck and unable to proceed, layout problems, broken links, etc.)"
   },
-  "Rust-powered vectorized execution with SIMD optimization delivers exceptional performance.": {
-    "message": "Rust-powered vectorized execution with SIMD optimization delivers exceptional performance.",
-    "description": "delivers exceptional performance."
+  "Unified Data": {
+    "message": "Unified Data",
+    "description": "Headline for unified data feature"
   },
-  "90% Cost Reduction": {
-    "message": "90% Cost Reduction",
-    "description": "90% Cost Reduction"
+  "Analytics Native": {
+    "message": "Analytics Native",
+    "description": "Headline for analytics native feature"
   },
-  "S3-native storage eliminates proprietary overhead and reduces costs significantly.": {
-    "message": "S3-native storage eliminates proprietary overhead and reduces costs significantly.",
-    "description": "Description for Cost reduction and storage section"
+  "Vector Native": {
+    "message": "Vector Native",
+    "description": "Headline for vector native feature"
   },
-  "Snowflake Compatible": {
-    "message": "Snowflake Compatible",
-    "description": "Snowflake Compatible"
-  },
-  "Near 100% SQL compatibility enables zero-rewrite migration from Snowflake.": {
-    "message": "Near 100% SQL compatibility enables zero-rewrite migration from Snowflake.",
-    "description": "Description for Snowflake compatible section"
-  },
-  "Universal Data Processing": {
-    "message": "Universal Data Processing",
-    "description": "Universal Data Processing"
-  },
-  "Process structured, semi-structured, and unstructured multimodal data in one platform.": {
-    "message": "Process structured, semi-structured, and unstructured multimodal data in one platform.",
-    "description": "Description for Universal data processing section"
-  },
-  "Native AI Capabilities": {
-    "message": "Native AI Capabilities",
-    "description": "Native AI Capabilities"
-  },
-  "Built-in AI functions, vector search, and multimodal analytics for modern workloads.": {
-    "message": "Built-in AI functions, vector search, and multimodal analytics for modern workloads.",
-    "description": "Description for Native AI capabilities section"
-  },
-  "Multi-Cloud & No Lock-in": {
-    "message": "Multi-Cloud & No Lock-in",
-    "description": "Multi-Cloud & No Lock-in"
-  },
-  "Deploy on AWS, Azure, GCP, or on-premise with complete data sovereignty.": {
-    "message": "Deploy on AWS, Azure, GCP, or on-premise with complete data sovereignty.",
-    "description": "Description for Multi-cloud and no lock-in section"
+  "Unified Deployment": {
+    "message": "Unified Deployment",
+    "description": "Headline for unified deployment feature"
   },
   "Start with Databend Cloud": {
     "message": "Start with Databend Cloud",
@@ -812,5 +784,33 @@
   "Raise issue": {
     "message": "Raise issue",
     "description": "Raise issue"
+  },
+  "Search & Geo Native": {
+    "message": "Search & Geo Native",
+    "description": "Headline for search native feature"
+  },
+  "Analytics, vector, search, and geo share one optimizer and runtime.": {
+    "message": "Analytics, vector, search, and geo share one optimizer and runtime.",
+    "description": "Description for unified engine feature"
+  },
+  "Structured, semi-structured, unstructured, and vector data share object storage.": {
+    "message": "Structured, semi-structured, unstructured, and vector data share object storage.",
+    "description": "Description for unified data feature"
+  },
+  "ANSI SQL, windowing, incremental aggregates, and streaming power BI.": {
+    "message": "ANSI SQL, windowing, incremental aggregates, and streaming power BI.",
+    "description": "Description for analytics native feature"
+  },
+  "Embeddings, vector indexes, and semantic retrieval all run in SQL.": {
+    "message": "Embeddings, vector indexes, and semantic retrieval all run in SQL.",
+    "description": "Description for vector native feature"
+  },
+  "JSON inverted indexes, geo functions, and ranking fuel hybrid maps.": {
+    "message": "JSON inverted indexes, geo functions, and ranking fuel hybrid maps.",
+    "description": "Description for search native feature"
+  },
+  "Databend runs the same in Cloud, Docker, or `pip install`.": {
+    "message": "Databend runs the same in Cloud, Docker, or `pip install`.",
+    "description": "Description for unified deployment feature"
   }
 }
diff --git a/i18n/zh/code.json b/i18n/zh/code.json
@@ -697,9 +697,9 @@
     "message": "产品特点",
     "description": "Product Features"
   },
-  "10x Faster Performance": {
-    "message": "10 倍更快的性能",
-    "description": "10x Faster Performance"
+  "Unified Engine": {
+    "message": "统一引擎",
+    "description": "Headline for unified engine feature"
   },
   "NoDesc": {
     "message": "问题反馈",
@@ -717,49 +717,49 @@
     "message": "所有数据存储在对象存储中。",
     "description": "Stores all data in object storage."
   },
-  "Rust-powered vectorized execution with SIMD optimization delivers exceptional performance.": {
-    "message": "Rust 驱动的矢量化执行与 SIMD 优化提供卓越性能。",
-    "description": "delivers exceptional performance."
+  "Analytics, vector, search, and geo share one optimizer and runtime.": {
+    "message": "分析、向量、搜索、地理共用同一优化器与运行时。",
+    "description": "Description for unified engine feature"
   },
-  "90% Cost Reduction": {
-    "message": "90% 成本降低",
-    "description": "90% Cost Reduction"
+  "Unified Data": {
+    "message": "统一数据",
+    "description": "Headline for unified data feature"
   },
-  "S3-native storage eliminates proprietary overhead and reduces costs significantly.": {
-    "message": "S3 原生存储消除了专有开销并显著降低成本。",
-    "description": "Description for Cost reduction and storage section"
+  "Structured, semi-structured, unstructured, and vector data share object storage.": {
+    "message": "结构化、半结构化、非结构化与向量数据统一驻留对象存储。",
+    "description": "Description for unified data feature"
   },
-  "Snowflake Compatible": {
-    "message": "兼容 Snowflake",
-    "description": "Snowflake Compatible"
+  "Analytics Native": {
+    "message": "原生分析能力",
+    "description": "Headline for analytics native feature"
   },
-  "Near 100% SQL compatibility enables zero-rewrite migration from Snowflake.": {
-    "message": "近 100% 的 SQL 兼容性支持从 Snowflake 的无重写迁移。",
-    "description": "Description for Snowflake compatible section"
+  "ANSI SQL, windowing, incremental aggregates, and streaming power BI.": {
+    "message": "ANSI SQL、窗口、增量聚合与流式处理驱动 BI 分析。",
+    "description": "Description for analytics native feature"
   },
-  "Universal Data Processing": {
-    "message": "通用数据处理",
-    "description": "Universal Data Processing"
+  "Vector Native": {
+    "message": "原生向量能力",
+    "description": "Headline for vector native feature"
   },
-  "Process structured, semi-structured, and unstructured multimodal data in one platform.": {
-    "message": "在一个平台上处理结构化、半结构化和非结构化的多模态数据。",
-    "description": "Description for Universal data processing section"
+  "Embeddings, vector indexes, and semantic retrieval all run in SQL.": {
+    "message": "向量嵌入、索引与语义检索全都直接跑在 SQL 里。",
+    "description": "Description for vector native feature"
   },
-  "Native AI Capabilities": {
-    "message": "原生 AI 能力",
-    "description": "Native AI Capabilities"
+  "Search Native": {
+    "message": "原生搜索能力",
+    "description": "Headline for search native feature"
   },
-  "Built-in AI functions, vector search, and multimodal analytics for modern workloads.": {
-    "message": "内置 AI 功能、向量搜索和多模态分析，适用于现代工作负载。",
-    "description": "Description for Native AI capabilities section"
+  "JSON inverted indexes, geo functions, and ranking fuel hybrid maps.": {
+    "message": "JSON 倒排索引、地理函数与排序联合驱动地图级搜索。",
+    "description": "Description for search native feature"
   },
-  "Multi-Cloud & No Lock-in": {
-    "message": "多云与无锁定",
-    "description": "Multi-Cloud & No Lock-in"
+  "Unified Deployment": {
+    "message": "统一部署方式",
+    "description": "Headline for unified deployment feature"
   },
-  "Deploy on AWS, Azure, GCP, or on-premise with complete data sovereignty.": {
-    "message": "在阿里云、腾讯云、AWS、Azure、GCP 或本地部署，拥有完全的数据主权。",
-    "description": "Description for Multi-cloud and no lock-in section"
+  "Databend runs the same in Cloud, Docker, or `pip install`.": {
+    "message": "Cloud、Docker、`pip install` 全都跑同一套 Databend 引擎。",
+    "description": "Description for unified deployment feature"
   },
   "Start with Databend Cloud": {
     "message": "注册 Databend Cloud",
@@ -836,5 +836,9 @@
   "Raise issue": {
     "message": "提 issue",
     "description": "Raise issue"
+  },
+  "Search & Geo Native": {
+    "message": "原生搜索与地理",
+    "description": "Headline for search native feature"
   }
 }
diff --git a/src/components/DocsOverview/index.tsx b/src/components/DocsOverview/index.tsx
@@ -118,72 +118,60 @@ const DocsOverview: FC = (): ReactElement => {
           <Col {...colLayout2}>
             <Card style={{ height: "100%" }} padding={[16, 16]}>
               <h3>
-                <span>{$t("10x Faster Performance")}</span>
+                <span>{$t("Unified Engine")}</span>
               </h3>
               <div>
-                {$t(
-                  "Rust-powered vectorized execution with SIMD optimization delivers exceptional performance."
-                )}
+                {$t("Analytics, vector, search, and geo share one optimizer and runtime.")}
               </div>
             </Card>
           </Col>
           <Col {...colLayout2}>
             <Card style={{ height: "100%" }} padding={[16, 16]}>
               <h3>
-                <span>{$t("90% Cost Reduction")}</span>
+                <span>{$t("Unified Data")}</span>
               </h3>
               <div>
-                {$t(
-                  "S3-native storage eliminates proprietary overhead and reduces costs significantly."
-                )}
+                {$t("Structured, semi-structured, unstructured, and vector data share object storage.")}
               </div>
             </Card>
           </Col>
           <Col {...colLayout2}>
             <Card style={{ height: "100%" }} padding={[16, 16]}>
               <h3>
-                <span>{$t("Snowflake Compatible")}</span>
+                <span>{$t("Analytics Native")}</span>
               </h3>
               <div>
-                {$t(
-                  "Near 100% SQL compatibility enables zero-rewrite migration from Snowflake."
-                )}
+                {$t("ANSI SQL, windowing, incremental aggregates, and streaming power BI.")}
               </div>
             </Card>
           </Col>
           <Col {...colLayout2}>
             <Card style={{ height: "100%" }} padding={[16, 16]}>
               <h3>
-                <span>{$t("Universal Data Processing")}</span>
+                <span>{$t("Vector Native")}</span>
               </h3>
               <div>
-                {$t(
-                  "Process structured, semi-structured, and unstructured multimodal data in one platform."
-                )}
+                {$t("Embeddings, vector indexes, and semantic retrieval all run in SQL.")}
               </div>
             </Card>
           </Col>
           <Col {...colLayout2}>
             <Card style={{ height: "100%" }} padding={[16, 16]}>
               <h3>
-                <span>{$t("Native AI Capabilities")}</span>
+                <span>{$t("Search & Geo Native")}</span>
               </h3>
               <div>
-                {$t(
-                  "Built-in AI functions, vector search, and multimodal analytics for modern workloads."
-                )}
+                {$t("JSON inverted indexes, geo functions, and ranking fuel hybrid maps.")}
               </div>
             </Card>
           </Col>
           <Col {...colLayout2}>
             <Card style={{ height: "100%" }} padding={[16, 16]}>
               <h3>
-                <span>{$t("Multi-Cloud & No Lock-in")}</span>
+                <span>{$t("Unified Deployment")}</span>
               </h3>
               <div>
-                {$t(
-                  "Deploy on AWS, Azure, GCP, or on-premise with complete data sovereignty."
-                )}
+                {$t("Databend runs the same in Cloud, Docker, or `pip install`.")}
               </div>
             </Card>
           </Col>
