简体中文 | English
ClickHouse is an open-source column-oriented Online Analytical Processing (OLAP) database management system developed by Russian tech company Yandex, widely used in real-time big data analytics. Its core design goal is to achieve high-speed query performance, excelling in handling complex analytical tasks on massive datasets. It supports data throughput of hundreds of millions of rows per second, making it a leading solution for real-time data analysis scenarios.
Key Features:
- Columnar Storage & Compression: Data stored by columns reduces I/O overhead and improves compression efficiency, ideal for aggregate queries.
- Vectorized Query Engine: Leverages CPU SIMD instructions to process data blocks in parallel, significantly accelerating computations.
- Distributed & Parallel Processing: Supports horizontal scaling and sharded clusters for petabyte-scale data; automated query parallelization maximizes hardware utilization.
- Real-time Ingestion & High-performance Queries: Maintains sub-second query latency while supporting high-throughput data insertion (e.g., log streams, time-series data).
- Rich Table Engines: Provides MergeTree, Kafka, MySQL engines for flexible integration with diverse data sources and business scenarios. This solution is offered based on Huawei Cloud Object Storage Service (OBS).
System Requirements:
- CPU: 2vCPUs or higher
- RAM: 4GB or more
- Disk: At least 40GB
Register a Huawei account and activate Huawei Cloud
| Image Specification | Description | Notes |
|---|---|---|
| Clickhouse-25.6.1-kunpeng | Deployed on Kunpeng servers with Huawei Cloud EulerOS 2.0 64bit | — |
- Submit an issue
- Contact Huawei Cloud Marketplace product support
- Fork this repository and submit a merge request.
- Update README.md synchronously based on your open-source mirror information.