Azure's fast and highly scalable data analytics service optimized for log and telemetry data, also known as Kusto. Like having a high-speed search engine specifically designed for finding patterns in massive amounts of time-series and log data.
DevOps teams use Azure Data Explorer (Kusto) to analyze application logs, identify performance bottlenecks, and troubleshoot issues across millions of events per second.
Azure Data Explorer (Kusto) is optimized for fast, interactive analytics over high-volume log/telemetry time-series data using KQL. AWS OpenSearch Service is commonly used for log search/analytics (OpenSearch/Elasticsearch-style queries). GCP BigQuery can analyze large log datasets with SQL (often via exported logs) but is a general-purpose data warehouse rather than a KQL-first log analytics engine. OCI Logging Analytics focuses on log ingestion, parsing, search, and analytics for operational data.