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**If desired, new data application systems can also be easily integrated to replace or enrich DSS's data application development process.**[Click me to learn how to quickly integrate new application systems](en_US/Development_Documentation/Third-party_System_Access_Development_Guide.md)
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|Utility | Description | DSS0.X Compatible Version (DSS0.9.1 Recommended) | DSS1.0 Compatible Version (DSS1.1.0 Recommended) |
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|Utility | Description | DSS0.X compatible version (DSS0.9.1 recommended) | DSS1.0 compatible version (DSS1.1.0 recommended)|
|[**Linkis**](https://github.com/apache/incubator-linkis)| Apache Linkis, builds a layer of computation middleware, by using standard interfaces such as REST/WS/JDBC provided by Linkis, the upper applications can easily access the underlying engines such as MySQL/Spark/Hive/Presto/Flink, etc. | recommend Linkis0.11.0 (**Released**) |recommend Linkis1.0.3 (**Released**)|
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|[**DataApiService**](https://github.com/WeBankFinTech/DataSphereStudio-Doc/blob/main/en_US/Using_Document/DataApiService_Usage_Documentation.md)| (Third-party applications built into DSS) Data API service. The SQL script can be quickly published as a Restful interface, providing Rest access capability to the outside world. | Not supported |recommend DSS1.0.1 (**Released**)|
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|[**Scriptis**](https://github.com/WeBankFinTech/DataSphereStudio)| (Third-party applications built into DSS) Support online script writing such as SQL, Pyspark, HiveQL, etc., submit to [Linkis](https://github.com/WeBankFinTech/Linkis) to perform data analysis web tools. |recommend DSS0.9.1 (**Released**) |recommend DSS1.0.1 (**Released**) |
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|[**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. |recommend Schedulis0.6.1 (**Released**) | >= Schedulis0.6.2 (**Released**) |
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|**EventCheck**| (Third-party applications built into DSS) Provides cross-business, cross-engineering, and cross-workflow signaling capabilities. |recommend DSS0.9.1 (**Released**) |recommend DSS1.0.1 (**Released**) |
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|**SendEmail**| (Third-party applications built into DSS) Provides the ability to send data, all the result sets of other workflow nodes can be sent by email |recommend 0.9.1 (**Released**) |recommend 1.0.1 (**Released**) |
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|[**Qualitis**](https://github.com/WeBankFinTech/Qualitis)| Data quality verification tool, providing data verification capabilities such as data integrity and correctness |recommend Qualitis0.8.0 (**Released**) | >= Qualitis0.9.1 (**Released**) |
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|[**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. | Not supported | >= Streamis0.1.0 (**Released**) |
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|[**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. | Not supported | >= Prophecis 0.3.0 (**Released**) |
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|[**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 | not supported |>= Exchangis1.0.0 (**Developing**) |
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|[**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. |recommend Visualis0.5.0 (**Released**) | >= Visualis1.0.0 (**Developing**) |
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|**UserManager**|(Third-party applications built into DSS) Automatically initialize all user environments necessary for a new DSS user, including: creating Linux users, various user paths, directory authorization, etc. |recommend DSS0.9.1 (**Released**) | Planned in DSS1.0.2 (**Developing**) |
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|[**DolphinScheduler**](https://github.com/apache/dolphinscheduler)|Apache DolphinScheduler, a distributed and scalable visual workflow task scheduling platform, supports one-click publishing of DSS workflows to DolphinScheduler. | Not supported | >= DolphinScheduler1.3.6, planned in DSS1.1.0 (**Developing**) |
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|**UserGuide**| (Third-party applications to be built into DSS) It mainly provides help documentation, beginner's guide, Dark mode skinning, etc.| Not supported |Planning in DSS1.1.0 (**Developing**) |
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|**DataModelCenter**| (Third-party applications to be built into DSS) It mainly provides the capabilities of data warehouse planning, data model development and data asset management. Data warehouse planning includes subject domains, data warehouse layers, modifiers, etc.; data model development includes indicators, dimensions, metrics, wizard-based table building, etc.; data assets are connected to Apache Atlas to provide data lineage capabilities. | Not supported | Planning in DSS1.2.0 (**Developing**) |
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|[**Airflow**](https://github.com/apache/airflow)| Supports publishing DSS workflows to Apache Airflow for scheduling. |recommend DSS0.9.1, not yet merged | Not supported |
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|[**Linkis**](https://github.com/apache/incubator-linkis)|Computing middleware Apache Linkis, by providing standard interfaces such as REST/WebSocket/JDBC/SDK, upper-layer applications can easily connect and access underlying engines such as MySQL/Spark/Hive/Presto/Flink. |Linkis0.11.0 is recommended (**Released**) |>= Linkis1.1.1 (**released**)|
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|[**DataApiService**](https://github.com/WeBankFinTech/DataSphereStudio-Doc/blob/main/en_US/Using_Document/DataApiService_Usage_Documentation.md)| (DSS has built-in third-party application tools) data API service. The SQL script can be quickly published as a Restful interface, providing Rest access capability to the outside world. | Not supported | DSS1.1.0 recommended (**released**)|
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|[**Scriptis**](https://github.com/WeBankFinTech/DataSphereStudio)| (DSS has built-in third-party application tools) support online writing of SQL, Pyspark, HiveQL and other scripts, and submit to [Linkis](https://github.com/WeBankFinTech/Linkis) data analysis web tool. |Recommended DSS0.9.1 (**Released**) |Recommended DSS1.1.0 (**Released**) |
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|[**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. |Recommended Schedulis0.6.1 (**released**) | >= Schedulis0.7.0 (**coming soon**) |
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|**EventCheck**| (a third-party application tool built into DSS) provides signal communication capabilities across business, engineering, and workflow. |Recommended DSS0.9.1 (**Released**) |Recommended DSS1.1.0 (**Released**) |
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|**SendEmail**| (DSS has built-in third-party application tools) provides the ability to send data, all the result sets of other workflow nodes can be sent by email |DSS0.9.1 is recommended (**released**) |Recommended DSS1.1.0 (**Released**) |
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|[**Qualitis**](https://github.com/WeBankFinTech/Qualitis)| Data quality verification tool, providing data verification capabilities such as data integrity and correctness | Qualitis0.8.0 is recommended (**Released**) | >= Qualitis0.9.2 (**coming soon**) |
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|[**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. | Not supported | >= Streamis0.2.0 (**coming soon**) |
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|[**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. | Not supported | >= Prophecis 0.3.2 (**coming soon**) |
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|[**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 work with DSS workflow | not supported | = Exchangis1.0.0 (**coming soon**) |
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|[**Visualis**](https://github.com/WeBankFinTech/Visualis)| A data visualization BI tool based on the secondary development of Davinci, an open source project of CreditEase, provides users with financial-level data visualization capabilities in terms of data security. |Recommended Visualis0.5.0 |= Visualis1.0.0 (**coming soon**) |
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|[**DolphinScheduler**](https://github.com/apache/dolphinscheduler)|Apache DolphinScheduler, a distributed and easily scalable visual workflow task scheduling platform, supports one-click publishing of DSS workflows to DolphinScheduler. |Not supported | DolphinScheduler1.3.X, planned in DSS1.1.0 (**released**) |
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|**UserGuide**|(DSS will be built-in third-party application tools) contains help documents, beginner's guide, Dark mode skinning, etc. | Not supported | >= DSS1.1.0 (**released**) |
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|**DataModelCenter**| (the third-party application tool that DSS will build) mainly provides data warehouse planning, data model development and data asset management capabilities. Data warehouse planning includes subject domains, data warehouse hierarchies, modifiers, etc.; data model development includes indicators, dimensions, metrics, wizard-based table building, etc.; data assets are connected to Apache Atlas to provide data lineage capabilities . | Not supported |Planned in DSS1.2.0 (**under development**) |
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|**UserManager**| (DSS has built-in third-party application tools) automatically initialize all user environments necessary for a new DSS user, including: creating Linux users, various user paths, directory authorization, etc.| Recommended DSS0.9.1 (**Released**)| Planning|
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|[**Airflow**](https://github.com/apache/airflow)| Supports publishing DSS workflows to Apache Airflow for scheduled scheduling. |PR not yet merged | Not supported |
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Due to the high risk of script execution supported by DataSphere Studio, the isolation of the WeDataSphere Demo environment has not been completed. Considering that everyone is consulting the Demo environment, it is decided to first issue invitation codes to the community and accept trial applications from enterprises and organizations.
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