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14 changes: 7 additions & 7 deletions README.md
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## About

Apache DolphinScheduler is a modern data orchestration platform that empowers agile, low-code development of high-performance workflows.
It is dedicated to handling complex task dependencies in data pipelines, and provides a wide range of built-in job types ** out of the box**
It is dedicated to handling complex task dependencies in data pipelines and provides a wide range of built-in job types **out of the box**.

Key features for DolphinScheduler are as follows:

- Easy to deploy, provides four deployment modes including Standalone, Cluster, Docker and Kubernetes.
- Easy to deploy, providing four deployment modes including Standalone, Cluster, Docker, and Kubernetes.
- Easy to use, workflows can be created and managed via Web UI, [Python SDK](https://dolphinscheduler.apache.org/python/main/index.html) or Open API
- Highly reliable and high availability, with a decentralized, multi-master and multi-worker architecture and native supports for horizontal scaling.
- Highly reliable and high availability, with a decentralized, multi-master and multi-worker architecture and native support for horizontal scaling.
- High performance, its performance is several times faster than other orchestration platforms, and it is capable of handling tens of millions of tasks per day
- Cloud Native, DolphinScheduler supports orchestrating workflows cross multiple clouds and data centers, and allows custom task types
- Cloud Native, DolphinScheduler supports orchestrating workflows across multiple clouds and data centers, and allows custom task types
- Workflow Versioning, provides version control for both workflows and individual workflow instances, including tasks.
- Flexible state control of workflows and tasks, supports pause/stop/recover them in any time
- Flexible state control of workflows and tasks, supports pausing, stopping, and recovering them at any time.
- Multi-tenancy support
- Additional features, backfill support(Web UI native), permission control including project and data source etc.

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* **Data source:** Supports multiple external data sources, provides unified data access capabilities for MySQL, PostgreSQL, Hive, Trino, etc.
![data-source](images/data-source.png)

* **Monitor:** View the status of the master, worker and database in real time, including server resource usage and load, do quick health check without logging in to the server.
* **Monitor:** View the status of the master, worker and database in real time, including server resource usage and load, do a quick health check without logging in to the server.
![monitor](images/monitor.png)

## Suggestions & Bug Reports
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## Contributing

The community welcomes contributions from everyone. Please refer to this page to find out more details: [How to contribute](docs/docs/en/contribute/join/contribute.md).
Check out good first issue in [here](https://github.com/apache/dolphinscheduler/contribute) if you are new to DolphinScheduler.
Check out good first issues [here](https://github.com/apache/dolphinscheduler/contribute) if you are new to DolphinScheduler.

## Community

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10 changes: 5 additions & 5 deletions README_zh_CN.md
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# Apache Dolphinscheduler
# Apache DolphinScheduler

[![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)
[![codecov](https://codecov.io/gh/apache/dolphinscheduler/branch/dev/graph/badge.svg)]()
[![codecov](https://codecov.io/gh/apache/dolphinscheduler/branch/dev/graph/badge.svg)](https://codecov.io/gh/apache/dolphinscheduler)
[![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=apache-dolphinscheduler&metric=alert_status)](https://sonarcloud.io/dashboard?id=apache-dolphinscheduler)
[![Twitter Follow](https://img.shields.io/twitter/follow/dolphinschedule.svg?style=social&label=Follow)](https://twitter.com/dolphinschedule) <!-- markdown-link-check-disable-line -->
[![EN doc](https://img.shields.io/badge/document-English-blue.svg)](README.md)
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DolphinScheduler 的主要特性如下:

- 易于部署,提供四种部署方式,包括Standalone、Cluster、Docker和Kubernetes
- 易于使用,可以通过四种方式创建和管理工作流,包括Web UI、[Python SDK](https://dolphinscheduler.apache.org/python/main/index.html)和Open API
- 易于部署,提供四种部署方式,包括 Standalone、Cluster、Docker 和 Kubernetes
- 易于使用,可以通过多种方式创建和管理工作流,包括 Web UI、[Python SDK](https://dolphinscheduler.apache.org/python/main/index.html) 和 Open API
- 高可靠高可用,多主多从的去中心化架构,原生支持横向扩展
- 高性能,性能比其他编排平台快N倍,每天可支持千万级任务
- Cloud Native,DolphinScheduler支持编排多云/数据中心工作流,支持自定义任务类型
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## 社区

欢迎通过以方式加入社区
欢迎通过以下方式加入社区

- 讨论和提问请通过 [GitHub Issues](https://github.com/apache/dolphinscheduler/issues)
- 关注 [DolphinScheduler Twitter](https://twitter.com/dolphinschedule) 来获取最新消息 <!-- markdown-link-check-disable-line -->
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