Copilot commented on code in PR #4305:
URL: https://github.com/apache/streampark/pull/4305#discussion_r2483037515
##########
README.md:
##########
@@ -29,22 +29,25 @@ Apache StreamPark
## 📊 Overview
-**StreamPark** is an open-source streaming application development framework
and cloud-native real-time computing platform. Designed to simplify the
development and management of streaming applications, StreamPark provides a
development framework for developing stream processing applications using
Apache Flink and Apache Spark, alongside a professional management platform.
The platform covers the full lifecycle of streaming applications, including
development, debugging, interactive querying, deployment, operations, and
maintenance. Originally named StreamX, the project was renamed as StreamPark in
August 2022 and graduated as an Apache Top-Level Project (TLP) in January 2025.
+**StreamPark** is an open-source framework for building and managing real-time
streaming applications, designed to simplify the end-to-end lifecycle of stream
processing. It provides a unified development framework for Apache Flink and
Apache Spark, along with a powerful cloud-native platform for application
management.
+
+StreamPark enables users to develop, debug, deploy, and operate large-scale
streaming applications efficiently and consistently.
+Originally named StreamX, the project was renamed StreamPark in August 2022
and became an Apache Top-Level Project (TLP) in January 2025.
* **Streaming Application Development Framework**
- * Provides a streaming-application framework to accelerate Apache Flink
and Spark development, offering prebuilt plug-and-play APIs and connectors.
-* **Real-Time Computing Platform**
- * Provides a one-stop solution for real-time computing, including
application development, deployment, management, monitoring, and more.
-* **Supports Batch & Streaming**
+ * Simplifies Flink and Spark streaming development with prebuilt APIs,
connectors, and templates.
+* **Cloud-Native Real-Time Computing Platform**
+ * Offers a one-stop real-time computing platform for development,
deployment, monitoring, and operations.
+* **Unified Batch & Streaming Processing**
* Supports Apache Flink and Apache Spark, enabling both stream processing
and batch processing.
-* **Supports Multi-engine/Multi-version**
- * Enables cross-version development and management of Apache Flink and
Apache Spark applications within a unified framework.
-* **Multi-environment Compatibility**
- * Compatible with various cluster environments, users can submit Flink and
Spark applications to standalone clusters, YARN (Hadoop 2.x/3.x), and
Kubernetes.
+* **Multi-Engine & Multi-Version Support**
+ * Run and manage multi-version Flink/Spark application.
Review Comment:
The word 'application' should be plural 'applications' to match the context
of managing multiple versions.
```suggestion
* Run and manage multi-version Flink/Spark applications.
```
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
