Azure Data Explorer, introduced in 2018, is a fast and highly scalable data analytics service designed for real-time and log analytics. It supports KQL (Kusto Query Language) for querying large volumes of structured, semi-structured, and unstructured data.

https://learn.microsoft.com/en-us/azure/data-explorer

TLDR: Azure Data Explorer, introduced in 2018, is a fast and highly scalable data analytics service optimized for real-time analysis of large datasets, especially logs, metrics, and telemetry. It supports interactive queries using KQL (Kusto Query Language) and is widely used for Big Data Analytics in domains like monitoring, IoT, and application performance management.

https://learn.microsoft.com/en-us/azure/data-explorer

Azure Data Explorer is built for handling structured, semi-structured, and unstructured data, providing unmatched querying speed through columnar storage and distributed architecture. With its ability to store and process petabytes of data, it serves as a powerful backend for complex Time Series Analysis and operational analytics.

https://learn.microsoft.com/en-us/azure/data-explorer/overview

The integration of KQL (Kusto Query Language) with Azure Data Explorer allows users to perform advanced filtering, summarization, and visualization of data with minimal code. The language is particularly optimized for log analytics, supporting commands like `summarize`, `extend`, and `project`, which simplify data exploration and trend detection.

https://learn.microsoft.com/en-us/azure/data-explorer/kusto-query-language

Azure Data Explorer excels in real-time processing, offering seamless ingestion pipelines for streaming data from sources like Apache Kafka, Azure Event Hubs, and IoT devices. This capability makes it ideal for use cases like Anomaly Detection, application monitoring, and Predictive Analytics.

https://learn.microsoft.com/en-us/azure/data-explorer/ingest-data-overview

Security and compliance are integral to Azure Data Explorer, with features like encryption at rest, access control, and integration with Azure Active Directory. It also supports role-based access and secure data sharing across teams, ensuring enterprise-grade reliability.

https://learn.microsoft.com/en-us/azure/data-explorer/security-overview

The service is designed for seamless scalability and high availability, automatically managing cluster operations like scaling and failover. Azure Data Explorer ensures low latency and high throughput even during peak workloads, making it a robust choice for mission-critical applications.

https://learn.microsoft.com/en-us/azure/data-explorer/manage-cluster

Azure Data Explorer provides built-in integration with visualization tools like Microsoft Power BI and Grafana Dashboards, enabling interactive dashboards for deeper insights into business and operational metrics. This helps organizations transform raw data into actionable insights effectively.

https://learn.microsoft.com/en-us/azure/data-explorer/power-bi

It is widely adopted across industries like IoT, financial services, and e-commerce for its ability to provide rapid, actionable insights. By supporting advanced analytics scenarios like Data Mining and Machine Learning (ML), Azure Data Explorer empowers organizations to derive value from their data at unprecedented speed.

https://learn.microsoft.com/en-us/azure/data-explorer/use-cases