Update README.md

BohuTANG · web-flow · commit dbfc0c6702a7 · 2025-07-27T12:00:24.000+08:00
diff --git a/README.md b/README.md
@@ -1,5 +1,5 @@
 <h1 align="center">Databend: The Next-Gen Cloud [Data+AI] Analytics</h1>
-<h2 align="center">The open-source, on-premise alternative to Snowflake</h2>
+<h2 align="center">One SQL for All Data: structured, semi-structured & unstructured multimodal data</h2>
 
 <div align="center">
 
@@ -8,20 +8,13 @@
   <a href="https://docs.databend.com/">Documentation</a>  |
   <a href="https://benchmark.clickhouse.com/">Benchmarking</a>  |
   <a href="https://github.com/databendlabs/databend/issues/11868">Roadmap (v1.3)</a>
-
 </h4>
 
 <div>
 <a href="https://link.databend.com/join-slack">
 <img src="https://img.shields.io/badge/slack-databend-0abd59?logo=slack" alt="slack" />
 </a>
 
-<a href="https://link.databend.com/join-feishu">
-<img src="https://img.shields.io/badge/feishu-databend-0abd59" alt="feishu" />
-</a>
-
-<br>
-
 <a href="https://github.com/databendlabs/databend/actions/workflows/release.yml">
 <img src="https://img.shields.io/github/actions/workflow/status/datafuselabs/databend/release.yml?branch=main" alt="CI Status" />
 </a>
@@ -37,245 +30,57 @@
 
 <img src="https://github.com/databendlabs/databend/assets/172204/9997d8bc-6462-4dbd-90e3-527cf50a709c" alt="databend" />
 
-## 🐋 Introduction
-
-**Databend**, built in Rust, is an open-source cloud data warehouse that serves as a cost-effective [alternative to Snowflake](https://github.com/databendlabs/databend/issues/13059). With its focus on fast query execution and data ingestion, it's designed for complex analysis of the world's largest datasets.
-
-**Production-Proven Scale:**
-- 🤝 **Enterprise Adoption**: Trusted by over **50 organizations** processing more than **100 million queries daily**
-- 🗄️ **Massive Scale**: Successfully managing over **800 petabytes** of analytical data
-
-## ⚡ Performance
-
-<div align="center">
-
-[TPC-H Benchmark: Databend Cloud vs. Snowflake](https://docs.databend.com/guides/benchmark/tpch)
-
-</div>
-
-![Databend vs. Snowflake](https://github.com/databendlabs/wizard/assets/172204/d796acf0-0a66-4b1d-8754-cd2cd1de04c7)
-
-<div align="center">
-
-[Data Ingestion Benchmark: Databend Cloud vs. Snowflake](https://docs.databend.com/guides/benchmark/data-ingest)
-
-</div>
-
-![Databend vs. Snowflake](https://github.com/databendlabs/databend/assets/172204/c61d7a40-f6fe-4fb9-83e8-06ea9599aeb4)
+## The AI-Native Data Warehouse
 
+Databend is the **open-source alternative to Snowflake** with **near 100% SQL compatibility** and native AI capabilities. Built in Rust with MPP architecture and S3-native storage, Databend unifies structured tables, JSON documents, and vector embeddings in a single platform. Trusted by **world-class enterprises** managing **800+ petabytes** and **100+ million queries daily**.
 
-## 🚀 Why Databend
+## Key Features
 
-- **Full Control**: Deploy on **cloud** or **on-prem** to suit your needs.
+**Performance & Scale**
+- **10x Faster**: Rust-powered vectorized execution with SIMD optimization
+- **90% Cost Reduction**: S3-native storage eliminates proprietary overhead
+- **Infinite Scale**: True compute-storage separation with elastic scaling
+- **Production-Proven**: Powers financial analytics, ML pipelines, and real-time AI inference
 
-- **Blazing-Fast Performance**: Built with **Rust** for high-speed query execution. 👉 [ClickBench](https://databend.com/blog/clickbench-databend-top)
+**Enterprise Ready**
+- **Snowflake Compatible**: Migrate with zero SQL rewrites
+- **Multi-Cloud**: Deploy on AWS, Azure, GCP, or on-premise
+- **Security**: Role-based access, data masking, audit logging
+- **No Vendor Lock-in**: Complete data sovereignty and control
 
-- **Cost-Effective**: Scalable architecture that boosts **performance** and reduces **costs**. 👉 [TPC-H](https://docs.databend.com/guides/benchmark/tpch)
+## Performance Benchmarks
 
-- **AI-Enhanced Analytics**: Leverage built-in **[AI Functions](https://docs.databend.com/guides/ai-functions/)** for smarter data insights.
+[TPC-H Benchmark: Databend vs. Snowflake](https://docs.databend.com/guides/benchmark/tpch) | [Data Ingestion Benchmark](https://docs.databend.com/guides/benchmark/data-ingest) | [ClickBench Results](https://databend.com/blog/clickbench-databend-top)
 
-- **Simplified ETL**: Direct **data ingestion** without the need for external ETL tools. 👉 [Data Loading](https://docs.databend.com/guides/load-data/)
-
-- **Real-Time Data Updates**: Keep your analytics **up-to-date** with real-time incremental data updates. 👉 [Stream](https://docs.databend.com/guides/load-data/continuous-data-pipelines/stream)
-
-- **Advanced Indexing**: Boost query performance with **[Virtual Column](https://docs.databend.com/guides/performance/virtual-column)**, **[Aggregating Index](https://docs.databend.com/guides/performance/aggregating-index)**, and **[Full-Text Index](https://docs.databend.com/guides/performance/fulltext-index)**.
-
-- **ACID Compliance + Version Control**: Ensure reliable **transactions** with full ACID compliance and Git-like versioning.
-
-- **Schema Flexibility**: Effortlessly handle **semi-structured data** with the flexible **[VARIANT](https://docs.databend.com/sql/sql-reference/data-types/variant)** data type.
-
-- **Community-Driven Growth**: **Open-source** and continuously evolving with contributions from a global community.
-
-
-
-## 📐 Architecture
+## Architecture
 
 ![Databend Architecture](https://github.com/databendlabs/databend/assets/172204/68b1adc6-0ec1-41d4-9e1d-37b80ce0e5ef)
 
-## 🚀 Try Databend
-
-### 1. Databend Serverless Cloud
-
-The fastest way to try Databend, [Databend Cloud](https://databend.com)
-
-### 2. Install Databend from Docker
-
-Prepare the image (once) from Docker Hub (this will download about 170 MB data):
-
-```shell
-docker pull datafuselabs/databend
-```
-
-To run Databend quickly:
-
-```shell
-docker run --net=host  datafuselabs/databend
-```
-
-## 🚀 Getting Started
-
-<details>
-<summary>Connecting to Databend</summary>
-
-- [Connecting to Databend with BendSQL](https://docs.databend.com/guides/sql-clients/bendsql)
-- [Connecting to Databend with JDBC](https://docs.databend.com/guides/sql-clients/jdbc)
+**Unified Foundation**: S3-native storage + MPP query engine + elastic compute clusters
 
-</details>
+### Universal Data Processing by Type
+- **Structured**: Standard SQL with vectorized execution, ACID transactions, enterprise security, and BI integration
+- **Semi-Structured**: [VARIANT data type](https://docs.databend.com/sql/sql-reference/data-types/variant) with [virtual columns](https://docs.databend.com/guides/performance/virtual-column) for zero-config automatic JSON acceleration
+- **Unstructured**: [Vector data type](https://docs.databend.com/sql/sql-reference/data-types/vector) with HNSW indexing, [AI functions](https://docs.databend.com/sql/sql-functions/ai-functions/), and [full-text search](https://docs.databend.com/guides/performance/fulltext-index) for multimodal workloads
 
-<details>
-<summary>Data Import and Export</summary>
+## Quick Start
 
-- [How to load Parquet file into a table](https://docs.databend.com/guides/load-data/load-semistructured/load-parquet)
-- [How to export a table to Parquet file](https://docs.databend.com/guides/unload-data/unload-parquet)
-- [How to load CSV file into a table](https://docs.databend.com/guides/load-data/load-semistructured/load-csv)
-- [How to export a table to CSV file](https://docs.databend.com/guides/unload-data/unload-csv)
-- [How to load TSV file into a table](https://docs.databend.com/guides/load-data/load-semistructured/load-tsv)
-- [How to export a table to TSV file](https://docs.databend.com/guides/unload-data/unload-tsv)
-- [How to load NDJSON file into a table](https://docs.databend.com/guides/load-data/load-semistructured/load-ndjson)
-- [How to export a table to NDJSON file](https://docs.databend.com/guides/unload-data/unload-ndjson)
-- [How to load ORC file into a table](https://docs.databend.com/guides/load-data/load-semistructured/load-orc)
+### Cloud
+[Start with Databend Cloud](https://docs.databend.com/guides/cloud/) - Production-ready in 60 seconds
 
-</details>
+### Self-Hosted
+[Installation Guide](https://docs.databend.com/guides/deploy/QuickStart/) - Deploy anywhere with full control
 
-<details>
-<summary>Loading Data From Other Databases</summary>
+### Connect
+[BendSQL CLI](https://docs.databend.com/guides/sql-clients/bendsql) | [Developers Guide](https://docs.databend.com/guides/sql-clients/developers/) 
 
-- [How to Sync Full and Incremental MySQL Changes into Databend](https://docs.databend.com/guides/load-data/load-db/debezium)
-- [How to Sync Full and Incremental PostgreSQL Changes into Databend](https://docs.databend.com/guides/load-data/load-db/flink-cdc)
-- [How to Sync Full and Incremental Oracle Changes into Databend](https://docs.databend.com/guides/load-data/load-db/flink-cdc)
+## Products
 
-</details>
+- **Open Source**: 100% open source, complete data sovereignty
+- **[Databend Cloud](https://databend.com)**: Managed service with serverless autoscaling
+- **Enterprise**: Advanced governance, compliance, and support
 
-<details>
-<summary>Querying Semi-structured Data</summary>
-
-- [How to query directly on Parquet file](https://docs.databend.com/guides/load-data/transform/querying-parquet)
-- [How to query directly on CSV file](https://docs.databend.com/guides/load-data/transform/querying-csv)
-- [How to query directly on TSV file](https://docs.databend.com/guides/load-data/transform/querying-tsv)
-- [How to query directly on NDJSON file](https://docs.databend.com/guides/load-data/transform/querying-ndjson)
-- [How to query directly on ORC file](https://docs.databend.com/guides/load-data/transform/querying-orc)
-</details>
-
-<details>
-<summary>Visualize Tools with Databend</summary>
-
-- [Deepnote](https://docs.databend.com/guides/visualize/deepnote)
-- [Grafana](https://docs.databend.com/guides/visualize/grafana)
-- [Jupyter Notebook](https://docs.databend.com/guides/visualize/jupyter)
-- [Metabase](https://docs.databend.com/guides/visualize/metabase)
-- [MindsDB](https://docs.databend.com/guides/visualize/mindsdb)
-- [Redash](https://docs.databend.com/guides/visualize/redash)
-- [Superset](https://docs.databend.com/guides/visualize/superset)
-- [Tableau](https://docs.databend.com/guides/visualize/tableau)
-
-</details>
-
-<details>
-<summary>Managing Users</summary>
-
-- [How to Create a User](https://docs.databend.com/sql/sql-commands/ddl/user/user-create-user)
-- [How to Grant Privileges to a User](https://docs.databend.com/sql/sql-commands/ddl/user/grant#granting-privileges)
-- [How to Revoke Privileges from a User](https://docs.databend.com/sql/sql-commands/ddl/user/revoke#revoking-privileges)
-- [How to Create a Role](https://docs.databend.com/sql/sql-commands/ddl/user/user-create-role)
-- [How to Grant Privileges to a Role](https://docs.databend.com/sql/sql-commands/ddl/user/grant#granting-role)
-- [How to Grant Role to a User](https://docs.databend.com/sql/sql-commands/ddl/user/grant)
-- [How to Revoke the Role of a User](https://docs.databend.com/sql/sql-commands/ddl/user/revoke#revoking-role)
-</details>
-
-<details>
-<summary>Managing Databases</summary>
-
-- [How to Create a Database](https://docs.databend.com/sql/sql-commands/ddl/database/ddl-create-database)
-- [How to Drop a Database](https://docs.databend.com/sql/sql-commands/ddl/database/ddl-drop-database)
-</details>
-
-<details>
-<summary>Managing Tables</summary>
-
-- [How to Create a Table](https://docs.databend.com/sql/sql-commands/ddl/table/ddl-create-table)
-- [How to Drop a Table](https://docs.databend.com/sql/sql-commands/ddl/table/ddl-drop-table)
-- [How to Rename a Table](https://docs.databend.com/sql/sql-commands/ddl/table/ddl-rename-table)
-- [How to Truncate a Table](https://docs.databend.com/sql/sql-commands/ddl/table/ddl-truncate-table)
-- [How to Flash Back a Table](https://docs.databend.com/sql/sql-commands/ddl/table/flashback-table)
-- [How to Add/Drop Table Column](https://docs.databend.com/sql/sql-commands/ddl/table/alter-table-column)
-</details>
-
-<details>
-<summary>Managing Data</summary>
-
-- [COPY-INTO](https://docs.databend.com/sql/sql-commands/dml/dml-copy-into-table)
-- [INSERT](https://docs.databend.com/sql/sql-commands/dml/dml-insert)
-- [DELETE](https://docs.databend.com/sql/sql-commands/dml/dml-delete-from)
-- [UPDATE](https://docs.databend.com/sql/sql-commands/dml/dml-update)
-- [REPLACE](https://docs.databend.com/sql/sql-commands/dml/dml-replace)
-- [MERGE-INTO](https://docs.databend.com/sql/sql-commands/dml/dml-merge)
-</details>
-
-<details>
-<summary>Managing Views</summary>
-
-- [How to Create a View](https://docs.databend.com/sql/sql-commands/ddl/view/ddl-create-view)
-- [How to Drop a View](https://docs.databend.com/sql/sql-commands/ddl/view/ddl-drop-view)
-- [How to Alter a View](https://docs.databend.com/sql/sql-commands/ddl/view/ddl-alter-view)
-</details>
-
-<details>
-<summary>AI Functions</summary>
-
-- [Generating SQL with AI](https://docs.databend.com/sql/sql-functions/ai-functions/ai-to-sql)
-- [Creating Embedding Vectors](https://docs.databend.com/sql/sql-functions/ai-functions/ai-embedding-vector)
-- [Text Completion with AI](https://docs.databend.com/sql/sql-functions/ai-functions/ai-text-completion)
-- [Vector Distance](https://docs.databend.com/sql/sql-functions/vector-distance-functions/)
-</details>
-
-<details>
-<summary>Data Management</summary>
-
-- [Data Lifecycle in Databend](https://docs.databend.com/guides/data-management/data-lifecycle)
-- [Data Recovery in Databend](https://docs.databend.com/guides/data-management/data-recovery)
-- [Data Protection in Databend](https://docs.databend.com/guides/data-management/data-protection)
-- [Data Purge in Databend](https://docs.databend.com/guides/data-management/data-recycle)
-
-</details>
-
-<details>
-<summary>Accessing Data Lake</summary>
-
-- [Apache Hive](https://docs.databend.com/guides/access-data-lake/hive)
-- [Apache Iceberg](https://docs.databend.com/guides/access-data-lake/iceberg/)
-- [Delta Lake](https://docs.databend.com/guides/access-data-lake/delta)
-
-</details>
-
-<details>
-<summary>Security</summary>
-
-- [Access Control](https://docs.databend.com/guides/security/access-control)
-- [Masking Policy](https://docs.databend.com/guides/security/masking-policy)
-- [Network Policy](https://docs.databend.com/guides/security/network-policy)
-- [Password Policy](https://docs.databend.com/guides/security/password-policy)
-
-</details>
-
-<details>
-<summary>Performance</summary>
-
-- [Review Clickbench](https://databend.com/blog/clickbench-databend-top)
-- [TPC-H Benchmark: Databend Cloud vs. Snowflake](https://docs.databend.com/guides/benchmark/tpch)
-- [Databend vs. Snowflake: Data Ingestion Benchmark](https://docs.databend.com/guides/benchmark/data-ingest)
-
-</details>
-
-## 🤝 Contributing
-
-Databend thrives on community contributions! Whether it's through ideas, code, or documentation, every effort helps in enhancing our project. As a token of our appreciation, once your code is merged, your name will be eternally preserved in the **system.contributors** table.
-
-Here are some resources to help you get started:
-
-- [Building Databend From Source](https://docs.databend.com/developer/community/contributor/building-from-source)
-- [The First Good Pull Request](https://docs.databend.com/developer/community/contributor/good-pr)
-
-## 👥 Community
+## Community
 
 For guidance on using Databend, we recommend starting with the official documentation. If you need further assistance, explore the following community channels:
 
@@ -284,24 +89,17 @@ For guidance on using Databend, we recommend starting with the official document
 - [Twitter](https://twitter.com/DatabendLabs/) (Get the news fast)
 - [I'm feeling lucky](https://link.databend.com/i-m-feeling-lucky) (Pick up a good first issue now!)
 
-## 🛣️ Roadmap
-
-Stay updated with Databend's development journey. Here are our roadmap milestones:
-
-- [Roadmap 2025](https://github.com/databendlabs/databend/issues/14167)
-
-## 📜 License
-
-Databend is released under a combination of two licenses: the [Apache License 2.0](licenses/Apache-2.0.txt) and the [Elastic License 2.0](licenses/Elastic.txt).
+**Your merged code gets you into the `system.contributors` table. Forever.**
 
-When contributing to Databend, you can find the relevant license header in each file.
+## Roadmap & License
 
-For more information, see the [LICENSE](LICENSE) file and [Licensing FAQs](https://docs.databend.com/guides/products/dee/license).
+- **Roadmap**: [2025 Development Plan](https://github.com/databendlabs/databend/issues/14167)
+- **License**: [Apache License 2.0](licenses/Apache-2.0.txt) + [Elastic License 2.0](licenses/Elastic.txt) | [Licensing FAQs](https://docs.databend.com/guides/products/dee/license)
 
-## 🙏 Acknowledgement
+## Acknowledgement
 
-- **Inspiration**: Databend's design draws inspiration from industry leaders [ClickHouse](https://github.com/clickhouse/clickhouse) and [Snowflake](https://docs.snowflake.com/en/user-guide/intro-key-concepts.html#snowflake-architecture).
+**Inspiration**: [ClickHouse](https://github.com/clickhouse/clickhouse) and [Snowflake](https://docs.snowflake.com/en/user-guide/intro-key-concepts.html#snowflake-architecture) | **Foundation**: Apache Arrow | **Hosting**: [Vercel](https://vercel.com/?utm_source=databend&utm_campaign=oss)
 
-- **Computing Model**: Our computing foundation is built upon apache arrow.
+---
 
-- **Documentation Hosting**: The [Databend documentation website](https://docs.databend.com) proudly runs on [Vercel](https://vercel.com/?utm_source=databend&utm_campaign=oss).
+*Built by engineers who redefine what's possible with data.*
