diff --git a/README.md b/README.md
index 51e0cbb8bc..6352bd5f10 100644
--- a/README.md
+++ b/README.md
@@ -1,11 +1,11 @@
-Easy Scheduler
+Dolphin Scheduler
============
[](https://www.apache.org/licenses/LICENSE-2.0.html)
-[](https://github.com/analysys/EasyScheduler)
+[](https://github.com/apache/Incubator-DolphinScheduler)
-> Easy Scheduler for Big Data
+> Dolphin Scheduler for Big Data
-[](https://starchart.cc/analysys/EasyScheduler)
+[](https://starchart.cc/apache/incubator-dolphinscheduler)
[](README.md)
[](README_zh_CN.md)
@@ -32,12 +32,12 @@ Its main objectives are as follows:
- There are more waiting partners to explore
-### What's in Easy Scheduler
+### What's in Dolphin Scheduler
Stability | Easy to use | Features | Scalability |
-- | -- | -- | --
Decentralized multi-master and multi-worker | Visualization process defines key information such as task status, task type, retry times, task running machine, visual variables and so on at a glance. | Support pause, recover operation | support custom task types
-HA is supported by itself | All process definition operations are visualized, dragging tasks to draw DAGs, configuring data sources and resources. At the same time, for third-party systems, the api mode operation is provided. | Users on easyscheduler can achieve many-to-one or one-to-one mapping relationship through tenants and Hadoop users, which is very important for scheduling large data jobs. " | The scheduler uses distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. Master and Worker support dynamic online and offline.
+HA is supported by itself | All process definition operations are visualized, dragging tasks to draw DAGs, configuring data sources and resources. At the same time, for third-party systems, the api mode operation is provided. | Users on DolphinScheduler can achieve many-to-one or one-to-one mapping relationship through tenants and Hadoop users, which is very important for scheduling large data jobs. " | The scheduler uses distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. Master and Worker support dynamic online and offline.
Overload processing: Task queue mechanism, the number of schedulable tasks on a single machine can be flexibly configured, when too many tasks will be cached in the task queue, will not cause machine jam. | One-click deployment | Supports traditional shell tasks, and also support big data platform task scheduling: MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python, Procedure, Sub_Process | |
@@ -54,30 +54,30 @@ Overload processing: Task queue mechanism, the number of schedulable tasks on a
### Document
-- Backend deployment documentation
+- Backend deployment documentation
-- Front-end deployment documentation
+- Front-end deployment documentation
-- [**User manual**](https://analysys.github.io/easyscheduler_docs_cn/系统使用手册.html?_blank "User manual")
+- [**User manual**](https://dolphinscheduler.apache.org/en-us/docs/user_doc/system-manual.html?_blank "System manual")
-- [**Upgrade document**](https://analysys.github.io/easyscheduler_docs_cn/升级文档.html?_blank "Upgrade document")
+- [**Upgrade document**](https://dolphinscheduler.apache.org/en-us/docs/release/upgrade.html?_blank "Upgrade document")
- Online Demo
-More documentation please refer to [EasyScheduler online documentation]
+More documentation please refer to [DolphinScheduler online documentation]
### Recent R&D plan
-Work plan of Easy Scheduler: [R&D plan](https://github.com/analysys/EasyScheduler/projects/1), where `In Develop` card is the features of 1.1.0 version , TODO card is to be done (including feature ideas)
+Work plan of Dolphin Scheduler: [R&D plan](https://github.com/apache/incubator-dolphinscheduler/projects/1), Under the `In Develop` card is what is currently being developed, TODO card is to be done (including feature ideas)
### How to contribute code
Welcome to participate in contributing code, please refer to the process of submitting the code:
-[[How to contribute code](https://github.com/analysys/EasyScheduler/issues/310)]
+[[How to contribute code](https://github.com/apache/incubator-dolphinscheduler/issues/310)]
### Thanks
-Easy Scheduler uses a lot of excellent open source projects, such as google guava, guice, grpc, netty, ali bonecp, quartz, and many open source projects of apache, etc.
-It is because of the shoulders of these open source projects that the birth of the Easy Scheduler is possible. We are very grateful for all the open source software used! We also hope that we will not only be the beneficiaries of open source, but also be open source contributors, so we decided to contribute to easy scheduling and promised long-term updates. We also hope that partners who have the same passion and conviction for open source will join in and contribute to open source!
+Dolphin Scheduler uses a lot of excellent open source projects, such as google guava, guice, grpc, netty, ali bonecp, quartz, and many open source projects of apache, etc.
+It is because of the shoulders of these open source projects that the birth of the Dolphin Scheduler is possible. We are very grateful for all the open source software used! We also hope that we will not only be the beneficiaries of open source, but also be open source contributors. We also hope that partners who have the same passion and conviction for open source will join in and contribute to open source!
### Get Help
1. Submit an issue
@@ -85,7 +85,7 @@ It is because of the shoulders of these open source projects that the birth of t
1. Contact WeChat group manager, ID 510570367. This is for Mandarin(CN) discussion.
### License
-Please refer to [LICENSE](https://github.com/analysys/EasyScheduler/blob/dev/LICENSE) file.
+Please refer to [LICENSE](https://github.com/apache/incubator-dolphinscheduler/blob/dev/LICENSE) file.