> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-fix-nav-issues.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# chDB

> chDB는 ClickHouse 기반의 인프로세스 SQL OLAP 엔진입니다

export const Image = ({img, alt, size}) => {
  return <Frame>
      <img src={img} alt={alt} />
    </Frame>;
};

chDB는 [ClickHouse](https://github.com/clickhouse/clickhouse) v25.8.2.1 기반의 빠른 인프로세스 SQL OLAP 엔진입니다.
ClickHouse 서버에 연결하지 않고도 프로그래밍 언어 내에서 ClickHouse의 강력한 기능을 활용하려는 경우 사용할 수 있습니다.

<div id="key-features">
  ## 주요 기능
</div>

* **인프로세스 SQL OLAP 엔진** - ClickHouse 기반으로 동작하므로 ClickHouse 서버를 설치할 필요가 없습니다
* **다양한 데이터 포맷** - Parquet, CSV, JSON, Arrow, ORC 및 [70개 이상의 추가 포맷](/ko/reference/formats)에 대한 입력 및 출력 지원
* **최소화된 데이터 복사** - [python memoryview](https://docs.python.org/3/c-api/memoryview.html)를 통해 C++에서 Python으로의 데이터 복사를 최소화합니다
* **풍부한 Python 생태계 통합** - Pandas, Arrow, DB API 2.0을 네이티브로 지원하며 기존 데이터 사이언스 워크플로에 자연스럽게 통합됩니다
* **의존성 없음** - 외부 데이터베이스를 설치할 필요가 없습니다
* **DataStore API** - SQL 최적화가 적용된 Pandas 호환 API로, 630개 이상의 메서드를 지원합니다

<div id="datastore">
  ## DataStore: Pandas 호환 API
</div>

**NEW!** DataStore는 익숙한 pandas 구문과 ClickHouse 성능을 결합한 pandas 호환 API를 제공합니다.

<Tip>
  **Hex에서 시작하기**

  * 📖 <a href="https://app.hex.tech/partnerships/app/chDB-Tutorial-032XsQ4qoKtlXxcw49joav/latest" target="_blank"><b>시작하기 튜토리얼</b></a> — 첫 번째 연결을 설정하세요
  * 🚀 <a href="https://app.hex.tech/signup/clickhouse-30" target="_blank"><b>Hex 30일 확장 평가판</b></a> — ClickHouse 통합을 모두 사용할 수 있습니다
</Tip>

<div id="one-line-migration">
  ### 한 줄로 마이그레이션
</div>

```python theme={null}
# import만 변경하면 기존 pandas 코드를 그대로 사용할 수 있습니다
- import pandas as pd
+ from chdb import datastore as pd

df = pd.read_csv("data.csv")
result = df[df['age'] > 25].groupby('city')['salary'].mean()
```

<div id="performance-highlights">
  ### 성능 하이라이트
</div>

| 작업               | pandas  | DataStore | 속도 향상      |
| ---------------- | ------- | --------- | ---------- |
| GroupBy 카운트      | 347ms   | 17ms      | **19.93x** |
| 복잡한 파이프라인        | 2,047ms | 380ms     | **5.39x**  |
| Filter+Sort+Head | 1,537ms | 350ms     | **4.40x**  |

*1,000만 행 벤치마크*

<div id="datastore-features">
  ### DataStore 기능
</div>

* **630개 이상의 API 메서드** - pandas DataFrame 메서드 209개, accessor 메서드 185개 이상
* **지연 평가** - 연산이 최적화된 SQL로 컴파일됩니다
* **SQL 푸시다운** - 필터와 집계가 데이터 소스에서 수행됩니다
* **범용 데이터 소스** - 파일, S3, 데이터베이스, 데이터 레이크에서 읽을 수 있습니다

자세히 알아보기: [DataStore 문서](/ko/products/chdb/datastore)

<div id="what-languages-are-supported-by-chdb">
  ## chDB는 어떤 언어를 지원하나요?
</div>

chDB는 다음과 같은 언어별 바인딩을 제공합니다:

* [Python](/ko/products/chdb/install/python) - [API 참조](/ko/products/chdb/api/python)
* [Go](/ko/products/chdb/install/go)
* [Rust](/ko/products/chdb/install/rust)
* [NodeJS](/ko/products/chdb/install/nodejs)
* [Bun](/ko/products/chdb/install/bun)
* [C 및 C++](/ko/products/chdb/install/c)

<div id="how-do-i-get-started">
  ## 시작하려면 어떻게 해야 하나요?
</div>

* [Go](/ko/products/chdb/install/go), [Rust](/ko/products/chdb/install/rust), [NodeJS](/ko/products/chdb/install/nodejs), [Bun](/ko/products/chdb/install/bun), 또는 [C and C++](/ko/products/chdb/install/c)를 사용하는 경우 해당 언어별 페이지를 확인하세요.
* Python을 사용하는 경우 [개발자용 시작하기 가이드](/ko/products/chdb/getting-started) 또는 [chDB 온디맨드 과정](https://learn.clickhouse.com/user_catalog_class/show/1901178)을 참조하세요.

<div id="for-pandas-users">
  ### pandas 사용자를 위한
</div>

pandas와 유사한 사용 경험에 ClickHouse의 성능을 더해 활용하려면 DataStore API부터 시작하십시오:

* [DataStore 빠른 시작](/ko/products/chdb/datastore/quickstart) - 설치 및 한 줄로 마이그레이션
* [pandas에서 마이그레이션](/ko/products/chdb/guides/migration-from-pandas) - 단계별 마이그레이션 가이드
* [Pandas Cookbook](/ko/products/chdb/guides/pandas-cookbook) - 자주 사용하는 패턴
* [주요 차이점](/ko/products/chdb/guides/pandas-differences) - pandas와의 주요 차이점
* [성능 가이드](/ko/products/chdb/guides/pandas-performance) - 최적화 팁

<div id="datastore-reference">
  ### DataStore API 참조
</div>

* [팩토리 메서드](/ko/products/chdb/datastore/factory-methods) - 파일, 데이터베이스, 클라우드 스토리지에서 생성
* [쿼리 작성](/ko/products/chdb/datastore/query-building) - SQL 스타일 연산
* [Pandas 호환성](/ko/products/chdb/datastore/pandas-compat) - 호환 메서드 209개
* [Accessor](/ko/products/chdb/datastore/accessors) - .str, .dt, .arr, .json, .url, .ip, .geo
* [구성](/ko/products/chdb/configuration) - Engine, 로깅, 프로파일링
* [디버깅](/ko/products/chdb/debugging) - explain(), 프로파일링, 로깅

<div id="sql-guides">
  ### SQL API 가이드
</div>

* [Python API 참조](/ko/products/chdb/api/python) - 전체 SQL API 문서
* [JupySQL](/ko/products/chdb/guides/jupysql)
* [Pandas 쿼리](/ko/products/chdb/guides/querying-pandas)
* [Apache Arrow 쿼리](/ko/products/chdb/guides/querying-apache-arrow)
* [S3의 데이터 쿼리](/ko/products/chdb/guides/querying-s3-bucket)
* [Parquet 파일 쿼리](/ko/products/chdb/guides/querying-parquet)
* [원격 ClickHouse 쿼리](/ko/products/chdb/guides/query-remote-clickhouse)
* [clickhouse-local 데이터베이스 사용](/ko/products/chdb/guides/clickhouse-local)

<div id="an-introductory-video">
  ## chDB 소개 영상
</div>

chDB를 간단히 소개하는 영상을 통해 ClickHouse의 강력한 기능을 Python 환경에서 어떻게 활용할 수 있는지 알아보십시오:

<div class="vimeo-container">
  <Frame>
    <iframe src="https://www.youtube.com/embed/e_yL0dlX6k4" title="YouTube 비디오 플레이어" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />
  </Frame>
</div>

<div id="performance-benchmarks">
  ## 성능 벤치마크
</div>

chDB는 다양한 시나리오에서 탁월한 성능을 제공합니다:

* **[내장 엔진의 ClickBench](https://benchmark.clickhouse.com/#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)** - SQL API 성능 비교
* **[DataFrame Benchmark](https://benchmark.clickhouse.com/#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)** - DataFrame 엔진 비교
* **[DataStore와 Pandas 비교](/ko/products/chdb/datastore#performance)** - 일반적인 작업에서 Pandas보다 최대 20배 더 빠름

<Image img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/Y9kcWM6RbYppspJn/images/chdb/df_bench.png?fit=max&auto=format&n=Y9kcWM6RbYppspJn&q=85&s=e0bfc06c0ea66f7546b0adbe00cf78c7" alt="DataFrame 벤치마크 결과" size="md" width="1804" height="1098" data-path="images/chdb/df_bench.png" />

<div id="about-chdb">
  ## chDB 소개
</div>

* [블로그](https://clickhouse.com/blog/chdb-embedded-clickhouse-rocket-engine-on-a-bicycle)에서 chDB 프로젝트가 탄생한 전체 이야기를 읽어보세요
* [블로그](https://clickhouse.com/blog/welcome-chdb-to-clickhouse)에서 chDB와 그 활용 사례를 알아보세요
* [chDB 온디맨드 강의](https://learn.clickhouse.com/user_catalog_class/show/1901178)를 수강하세요
* [codapi 예시](https://antonz.org/trying-chdb/)를 통해 브라우저에서 chDB를 살펴보세요
* 더 많은 예시는 ([https://github.com/chdb-io/chdb/tree/main/examples)에서](https://github.com/chdb-io/chdb/tree/main/examples\)에서) 확인하세요

<div id="license">
  ## 라이선스
</div>

chDB는 Apache License 2.0에 따라 제공됩니다. 자세한 내용은 [LICENSE](https://github.com/chdb-io/chdb/blob/main/LICENSE.txt)를 참조하십시오.