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<h1align="center">Databend</h1>
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<h3align="center">Unified Multimodal Database for Any Data at Any Scale.</h3>
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<palign="center">A <strong>next-generation</strong> cloud-native warehouse built in <strong>Rust</strong>. Open-source, Snowflake-compatible, and unifying BI, AI, Search, Geo, and Stream.</p>
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<h3align="center">The All-in-One Cloud Data Warehouse for Analytics & AI</h3>
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<palign="center">Built in <strong>Rust</strong> for blazing fast, cost-efficient analytics.<br> Open-source, <strong>Snowflake-compatible</strong>, and designed to unify BI, Search, and AI on object storage.</p>
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## 💡 Why Databend?
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Databend is an open-source **unified multimodal database** built in Rust. It empowers **Analytics**, **AI**, **Search**, and **Geo** workloads on a single platformdirectly from object storage.
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Databend is an open-source,**All-in-One multimodal database** built in Rust. It seamlessly unifies **Analytics**, **AI**, **Search**, and **Geo** workloads into a single platform, enabling high-performance processing directly on top of object storage.
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-**Unified Engine**: One optimizer and runtime for all data types (Structured, Semi-structured, Vector).
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-**Native Pipelines**: Built-in **Stream** and **Task** for automated data cleaning and transformation.
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-**Cloud Native**: Stateless compute nodes over object storage (S3, GCS, Azure) with full ACID support.
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-**High Performance**: Vectorized execution and Zero-Copy processing.
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| :--- | :--- |
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|**📊 BI & Analytics**<br>Supercharge your analytics with a high-performance, vectorized SQL query engine. |**✨ Vector Search**<br>Power AI and RAG applications with built-in, high-speed vector similarity search. |
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|**📄 JSON Search**<br>Seamlessly query and analyze semi-structured data with powerful JSON optimization. |**🌍 Geo Search**<br>Efficiently store, index, and query geospatial data for location intelligence. |
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|**🔄 ETL Pipeline**<br>Streamline data ingestion and transformation with built-in Streams and Tasks. |**🌿 Branching**<br>Create isolated Copy-on-Write branches instantly for dev, test, or experiments. |
This directory contains subdirectories dedicated to various performance tests,
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This directory contains subdirectories dedicated to various performance tests,
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specifically for TPCH tests, Hits tests, and internal query performance tests. Below is a brief overview of each subdirectory:
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## 1. tpch
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This subdirectory includes performance evaluation tools and scripts related to TPCH tests.
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This subdirectory includes performance evaluation tools and scripts related to TPCH tests.
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TPCH tests are designed to simulate complex query scenarios to assess the system's performance when handling large datasets. In this directory, you can find testing scripts, configuration files, and documentation for test results.
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## 2. hits
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Hits tests focus on specific queries or operations for performance testing.
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Hits tests focus on specific queries or operations for performance testing.
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In this subdirectory, you'll find scripts for Hits tests, sample queries, and performance analysis tools.
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## 3. internal
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The internal subdirectory contains testing tools and scripts dedicated to ensuring the performance of internal queries.
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The internal subdirectory contains testing tools and scripts dedicated to ensuring the performance of internal queries.
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These tests may be conducted to ensure the system performs well when handling internal queries specific.
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