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new 93b5ef9 Added Ecosystem chapter (#1496)
93b5ef9 is described below
commit 93b5ef9571ed5a6be2c3d8aa90af931f36c34f29
Author: peacewong <[email protected]>
AuthorDate: Thu Feb 17 19:55:34 2022 +0800
Added Ecosystem chapter (#1496)
* Added Ecosystem chapter
Added Ecosystem chapter
* Added Ecosystem chapter
Added Ecosystem chapter
* update linkis url
* update schedulis version
* update schedulis version
* update qualitis version
* update qualitis version
---
README.md | 13 +++++++++++++
README_CN.md | 15 ++++++++++++++-
2 files changed, 27 insertions(+), 1 deletion(-)
diff --git a/README.md b/README.md
index 46c36a6..366c39c 100644
--- a/README.md
+++ b/README.md
@@ -52,6 +52,19 @@ Since the first release of Linkis in 2019, it has
accumulated more than **700**
|Python|\>=2.6|\>=0.5.0|\>=1.0.0_rc1|Python EngineConn. Supports python code.|
|TiSpark|1.1|\>=0.5.0|ongoing|TiSpark EngineConn. Support querying TiDB data
by SparkSQL.|
+# Ecosystem
+
+| Component | Description | Linkis 0.x(recommend 0.11.0) Compatible | Linkis
1.x(recommend 1.0.3) Compatible |
+| --------------- |
-------------------------------------------------------------------- |
--------- | --------- |
+|
[**DataSphereStudio**](https://github.com/WeBankFinTech/DataSphereStudio/blob/master/README.md)
| DataSphere Studio (DSS for short) is WeDataSphere, a one-stop data
application development management portal. | DSS 0.9.1[released] | **DSS
1.0.1[developing]** |
+| [**Scriptis**](https://github.com/WeBankFinTech/Scriptis) | Support online
script writing such as SQL, Pyspark, HiveQL, etc., submit to
[Linkis](https://github.com/apache/incubator-linkis) to perform data analysis
web tools. | Scriptis merged in DSS（DSS 0.9.1[released]） | **In DSS
1.0.1[developing]** |
+| [**Schedulis**](https://github.com/WeBankFinTech/Schedulis) | Workflow task
scheduling system based on Azkaban secondary development, with financial-grade
features such as high performance, high availability and multi-tenant resource
isolation. | Schedulis 0.6.1[released] | **Schedulis0.6.2 [developing]** |
+| [**Qualitis**](https://github.com/WeBankFinTech/Qualitis) | Data quality
verification tool, providing data verification capabilities such as data
integrity and correctness | Qualitis 0.8.0[released] | **Qualitis 0.9.0
[developing]** |
+| [**Streamis**](https://github.com/WeBankFinTech/Streamis) | Streaming
application development management tool. It supports the release of Flink Jar
and Flink SQL, and provides the development, debugging and production
management capabilities of streaming applications, such as: start-stop, status
monitoring, checkpoint, etc. | **No support** | **Streamis 0.1.0 [developing]**
|
+| [**Exchangis**](https://github.com/WeBankFinTech/Exchangis) | A data
exchange platform that supports data transmission between structured and
unstructured heterogeneous data sources, the upcoming Exchangis1. 0, will be
connected with DSS workflow | **No support** | **Exchangis 1.0.0 [developing]**|
+| [**Visualis**](https://github.com/WeBankFinTech/Visualis) | A data
visualization BI tool based on the second development of Davinci, an open
source project of CreditEase, provides users with financial-level data
visualization capabilities in terms of data security. | Visualis
0.5.0[released]| **Visualis 1.0.0[developing]**|
+| [**Prophecis**](https://github.com/WeBankFinTech/Prophecis) | A one-stop
machine learning platform that integrates multiple open source machine learning
frameworks. Prophecis' MLFlow can be connected to DSS workflow through AppConn.
| Prophecis 0.2.2[released] | **Prophecis 0.3.0 [developing]** |
+
# Download
Please go to the [Linkis Releases
Page](https://github.com/apache/incubator-linkis/releases) to download a
compiled distribution or a source code package of Linkis.
diff --git a/README_CN.md b/README_CN.md
index c3bd4e6..d643758 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -45,6 +45,19 @@ Linkis 自2019年开源发布以来，已累计积累了700多家试验企业和
|Python|\>=2.6|\>=0.5.0|\>=1.0.0_rc1|Python EngineConn. 支持python 代码.|
|TiSpark|1.1|\>=0.5.0|ongoing|TiSpark EngineConn. 支持用SparkSQL 查询TiDB.|
+# 生态组件
+
+| 应用工具 | 描述 |
Linkis 0.X(推荐0.11.0) 兼容版本 | Linkis 1.X(推荐1.0.3) 兼容版本 |
+| --------------- |
-------------------------------------------------------------------- |
--------- | ---------- |
+| [**DataSphere
Studio**](https://github.com/WeBankFinTech/DataSphereStudio/blob/master/README-ZH.md)
| DataSphere Studio（简称 DSS）数据应用开发管理集成框架 | DSS 0.9.1[已发布] | **DSS
1.0.1[开发中]** |
+| [**Scriptis**](https://github.com/WeBankFinTech/Scriptis) | 支持在线写
SQL、Pyspark、HiveQL
等脚本，提交给[Linkis](https://github.com/apache/incubator-linkis)执行的数据分析 Web 工具。 |
Scriptis合并在DSS中（DSS 0.9.1[已发布]） | 在DSS 1.0.1中[开发中] |
+| [**Schedulis**](https://github.com/WeBankFinTech/Schedulis) | 基于 Azkaban
二次开发的工作流任务调度系统,具备高性能，高可用和多租户资源隔离等金融级特性。 | Schedulis 0.6.1[已发布] |
**Schedulis0.6.2 [开发中]** |
+| [**Qualitis**](https://github.com/WeBankFinTech/Qualitis) |
数据质量校验工具，提供数据完整性、正确性等数据校验能力 | Qualitis 0.8.0[已发布] | **Qualitis 0.9.0 [开发中]** |
+| [**Streamis**](https://github.com/WeBankFinTech/Streamis) | 流式应用开发管理工具。支持发布
Flink Jar 和 Flink SQL ，提供流式应用的开发调试和生产管理能力，如：启停、状态监控、checkpoint 等。 | 不支持 |
**Streamis 0.1.0 [开发中]** |
+| [**Exchangis**](https://github.com/WeBankFinTech/Exchangis) |
支持对结构化及无结构化的异构数据源之间的数据传输的数据交换平台，即将发布的 Exchangis1.0，将与 DSS 工作流打通 | 不支持 |
**Exchangis 1.0.0 [开发中]** |
+| [**Visualis**](https://github.com/WeBankFinTech/Visualis) | 基于宜信开源项目
Davinci 二次开发的数据可视化 BI 工具，为用户在数据安全方面提供金融级数据可视化能力。 | Visualis 0.5.0[已发布] |
**Visualis 1.0.0[开发中]** |
+| [**Prophecis**](https://github.com/WeBankFinTech/Prophecis) |
一站式机器学习平台，集成多种开源机器学习框架。Prophecis 的 MLFlow 通过 AppConn 可以接入到 DSS 工作流中。 |
Prophecis 0.2.2[已发布] | **Prophecis 0.3.0 [开发中]** |
+
# 下载
请前往[Linkis releases 页面](https://github.com/apache/incubator-linkis/releases)
下载Linkis 的已编译版本或源码包。
@@ -103,4 +116,4 @@ Meetup 视频
[Bilibili](https://space.bilibili.com/598542776?from=search&seid=1
# 谁在使用Linkis
我们创建了[一个 issue](https://github.com/apache/incubator-linkis/issues/23)
以便用户反馈和记录谁在使用Linkis.
-Linkis 自2019年开源发布以来，累计已有700多家试验企业和1000+沙盒试验用户，涉及金融、电信、制造、互联网等多个行业。
\ No newline at end of file
+Linkis 自2019年开源发布以来，累计已有700多家试验企业和1000+沙盒试验用户，涉及金融、电信、制造、互联网等多个行业。
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