Update manifest.json (#19028)

* Update manifest.json

* change overview text

* hyphen

Author: alpinet

databricks/README.md

@@ -9,11 +9,15 @@ This page is limited to documentation for ingesting Databricks cluster utilizati
 
 ## Overview
 
-Monitor your [Databricks][1] clusters with the Datadog [Spark integration][2].
+Datadog offers several Databricks monitoring capabilities.
 
-This integration unifies logs, infrastructure metrics, and Spark performance metrics, providing real-time visibility into the health of your nodes and the performance of your jobs. It can help you debug errors, fine-tune performance, and identify issues such as inefficient data partitioning or clusters running out of memory.
+[Data Jobs Monitoring][25] provides monitoring for your Databricks jobs and clusters. You can detect problematic Databricks jobs and workflows anywhere in your data pipelines, remediate failed and long-running-jobs faster, and optimize cluster resources to reduce costs.
 
-For feature details, see [Monitor Databricks with Datadog][22].
+[Cloud Cost Management][26] gives you a view to analyze all your Databricks DBU costs alongside the associated cloud spend.
+
+[Log Management][27] enables you to aggregate and analyze logs from your Databricks jobs & clusters. You can collect these logs as part of [Data Jobs Monitoring][25].
+
+[Infrastructure Monitoring][28] gives you a limited subset of the Data Jobs Monitoring functionality - visibility into the resource utilization of your Databricks clusters and Apache Spark performance metrics.
 
 ## Setup
 
@@ -492,3 +496,7 @@ Additional helpful documentation, links, and articles:
 [22]: https://www.datadoghq.com/blog/databricks-monitoring-datadog/
 [23]: https://app.datadoghq.com/integrations/spark
 [24]: https://docs.databricks.com/en/ingestion/add-data/upload-to-volume.html#upload-files-to-a-unity-catalog-volume
+[25]: https://www.datadoghq.com/product/data-jobs-monitoring/
+[26]: https://www.datadoghq.com/product/cloud-cost-management/
+[27]: https://www.datadoghq.com/product/log-management/
+[28]: https://docs.datadoghq.com/integrations/databricks/?tab=driveronly

databricks/manifest.json

@@ -8,7 +8,7 @@
     "configuration": "README.md#Setup",
     "support": "README.md#Support",
     "changelog": "CHANGELOG.md",
-    "description": "Monitor the performance, reliability, and cost of your Apache Spark and Databricks jobs.",
+    "description": "Monitor the reliability and cost of your Databricks environment.",
     "title": "Databricks",
     "media": [],
     "classifier_tags": [
@@ -63,4 +63,4 @@
       "source": "spark"
     }
   }
-}
+}