diff --git a/docs/cn/guides/00-products/00-dce.md b/docs/cn/guides/00-products/00-dce.md
index e47ddbb788..741b79af1f 100644
--- a/docs/cn/guides/00-products/00-dce.md
+++ b/docs/cn/guides/00-products/00-dce.md
@@ -26,6 +26,6 @@ Databend 社区版(Community)是 Databend 的开源版本,基于 **Apache
## 快速入门
-- **[快速入门指南](/guides/deploy/QuickStart/)**:5 分钟快速上手
+- **[快速入门指南](/guides/deploy/quickstart/)**:5 分钟快速上手
- **[下载与安装](/guides/deploy/deploy/download)**:私有化部署选项
-- **[GitHub 仓库](https://github.com/databendlabs/databend)**:源代码与社区
\ No newline at end of file
+- **[GitHub 仓库](https://github.com/databendlabs/databend)**:源代码与社区
diff --git a/docs/en/guides/00-products/00-dce.md b/docs/en/guides/00-products/00-dce.md
index fdc25d5f8f..25c943a4e7 100644
--- a/docs/en/guides/00-products/00-dce.md
+++ b/docs/en/guides/00-products/00-dce.md
@@ -26,7 +26,6 @@ See the complete list in [Enterprise Features](/guides/products/dee/enterprise-f
## Getting Started
-- **[Quick Start Guide](/guides/deploy/QuickStart/)**: Get up and running in 5 minutes
+- **[Quick Start Guide](/guides/deploy/quickstart/)**: Get up and running in 5 minutes
- **[Download & Install](/guides/deploy/deploy/download)**: Self-hosted deployment options
- **[GitHub Repository](https://github.com/databendlabs/databend)**: Source code and community
-
diff --git a/docs/en/guides/00-products/index.md b/docs/en/guides/00-products/index.md
index 6f0b301610..5aa73f47db 100644
--- 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/) 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/docs/en/guides/10-deploy/00-QuickStart/index.md b/docs/en/guides/10-deploy/00-QuickStart/index.md
index 1ac5514977..f082a0d143 100644
--- a/docs/en/guides/10-deploy/00-QuickStart/index.md
+++ b/docs/en/guides/10-deploy/00-QuickStart/index.md
@@ -1,5 +1,6 @@
---
title: QuickStart
+slug: /deploy/quickstart
---
Databend Quick Start: Experience Databend in 5 Minutes
diff --git a/i18n/en/code.json b/i18n/en/code.json
index 0aa920f406..5b0dfebe4d 100644
--- 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
index 6bd52f8e1a..0b027aacb7 100644
--- 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/pdf/docs.databend.cn-sql.txt b/pdf/docs.databend.cn-sql.txt
index 59dbf2b3ed..48a341b357 100644
--- a/pdf/docs.databend.cn-sql.txt
+++ b/pdf/docs.databend.cn-sql.txt
@@ -60,7 +60,7 @@ https://docs.databend.cn/guides/deploy/monitor/server-logs
https://docs.databend.cn/guides/deploy/monitor/tools/jaeger
https://docs.databend.cn/guides/deploy/monitor/tools/prometheus-and-grafana
https://docs.databend.cn/guides/deploy/monitor/tracing
-https://docs.databend.cn/guides/deploy/QuickStart/
+https://docs.databend.cn/guides/deploy/quickstart/
https://docs.databend.cn/guides/deploy/references/
https://docs.databend.cn/guides/deploy/references/admin-users
https://docs.databend.cn/guides/deploy/references/node-config/
@@ -1159,4 +1159,4 @@ https://docs.databend.cn/tutorials/programming/python/integrating-with-databend-
https://docs.databend.cn/tutorials/programming/python/integrating-with-databend-cloud-using-databend-sqlalchemy
https://docs.databend.cn/tutorials/programming/python/integrating-with-self-hosted-databend
https://docs.databend.cn/tutorials/recovery/bendsave
-https://docs.databend.cn/tutorials/taobao-tutorial
\ No newline at end of file
+https://docs.databend.cn/tutorials/taobao-tutorial
diff --git a/pdf/docs.databend.en-sql.txt b/pdf/docs.databend.en-sql.txt
index 4dc8aa6622..befefb14fc 100644
--- a/pdf/docs.databend.en-sql.txt
+++ b/pdf/docs.databend.en-sql.txt
@@ -60,7 +60,7 @@ https://docs.databend.com/guides/deploy/monitor/server-logs
https://docs.databend.com/guides/deploy/monitor/tools/jaeger
https://docs.databend.com/guides/deploy/monitor/tools/prometheus-and-grafana
https://docs.databend.com/guides/deploy/monitor/tracing
-https://docs.databend.com/guides/deploy/QuickStart/
+https://docs.databend.com/guides/deploy/quickstart/
https://docs.databend.com/guides/deploy/references/
https://docs.databend.com/guides/deploy/references/admin-users
https://docs.databend.com/guides/deploy/references/node-config/
diff --git a/scripts/sitemap-cn.xml b/scripts/sitemap-cn.xml
index 30c5e87bd4..0446adc04e 100644
--- a/scripts/sitemap-cn.xml
+++ b/scripts/sitemap-cn.xml
@@ -591,7 +591,7 @@
0.5
- https://docs.databend.cn/guides/deploy/QuickStart/
+ https://docs.databend.cn/guides/deploy/quickstart/
daily
0.5
@@ -5863,4 +5863,4 @@
daily
0.5
-
\ No newline at end of file
+
diff --git a/scripts/sitemap-en.xml b/scripts/sitemap-en.xml
index bc9ea7f8f6..2dab91c02f 100644
--- a/scripts/sitemap-en.xml
+++ b/scripts/sitemap-en.xml
@@ -592,7 +592,7 @@
0.5
- https://docs.databend.com/guides/deploy/QuickStart/
+ https://docs.databend.com/guides/deploy/quickstart/
daily
0.5
diff --git a/src/components/DocsOverview/index.tsx b/src/components/DocsOverview/index.tsx
index abc596f2ed..e2ec064799 100644
--- a/src/components/DocsOverview/index.tsx
+++ b/src/components/DocsOverview/index.tsx
@@ -118,72 +118,60 @@ const DocsOverview: FC = (): ReactElement => {
- {$t("10x Faster Performance")}
+ {$t("Unified Engine")}
- {$t(
- "Rust-powered vectorized execution with SIMD optimization delivers exceptional performance."
- )}
+ {$t("Analytics, vector, search, and geo share one optimizer and runtime.")}
- {$t("90% Cost Reduction")}
+ {$t("Unified Data")}
- {$t(
- "S3-native storage eliminates proprietary overhead and reduces costs significantly."
- )}
+ {$t("Structured, semi-structured, unstructured, and vector data share object storage.")}
- {$t("Snowflake Compatible")}
+ {$t("Analytics Native")}
- {$t(
- "Near 100% SQL compatibility enables zero-rewrite migration from Snowflake."
- )}
+ {$t("ANSI SQL, windowing, incremental aggregates, and streaming power BI.")}
- {$t("Universal Data Processing")}
+ {$t("Vector Native")}
- {$t(
- "Process structured, semi-structured, and unstructured multimodal data in one platform."
- )}
+ {$t("Embeddings, vector indexes, and semantic retrieval all run in SQL.")}
- {$t("Native AI Capabilities")}
+ {$t("Search & Geo Native")}
- {$t(
- "Built-in AI functions, vector search, and multimodal analytics for modern workloads."
- )}
+ {$t("JSON inverted indexes, geo functions, and ranking fuel hybrid maps.")}
- {$t("Multi-Cloud & No Lock-in")}
+ {$t("Unified Deployment")}
- {$t(
- "Deploy on AWS, Azure, GCP, or on-premise with complete data sovereignty."
- )}
+ {$t("Databend runs the same in Cloud, Docker, or `pip install`.")}
@@ -269,7 +257,7 @@ const DocsOverview: FC = (): ReactElement => {
{$t("5-Minute Quick Start")}