Azure Data Explorer tools and integrations overview

Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis of large volumes of data streaming from applications, websites, IoT devices, and more. Azure Data Explorer collects, stores, and analyzes diverse data to improve products, enhance customer experiences, monitor devices, and boost operations.

Azure Data Explorer offers different tools and integrations to do data ingestion, queries, visualization, orchestration and more. In addition to its native services, Azure Data Explorer allows users to integrate easily with various products and platforms, enable various customer use cases, optimize the business process by streamlining workflows, and reducing costs.

This article supplies you with a list of Azure Data Explorer tools, connectors, and integrations with links to relevant documents for additional information.

Ingest data

Data ingestion is the process used to load data from one or more sources into Azure Data Explorer. Once ingested, the data becomes available for query. Azure Data Explorer provides several tools and connectors for data ingestion.

For a complete list of ingestion connectors, see Data connectors Overview.

Azure Data Explorer ingestion tools

Query data

Azure Data Explorer query tools

There are several tools available for running queries in Azure Data Explorer.

Query open source repositories

The following open source repositories contain the source code for the Kusto Query Language (KQL) parser and editor:

Query integrations

Visualizations, dashboards, and reporting

The visualization overview details data visualization, dashboards, and reporting options.

Notebook connectivity


Share data

Source control integration