Integrations overview

  • Article

There are many data connectors, tools, and integrations that work seamlessly with the platform for ingestion, orchestration, output, and data query. This document is a high level overview about the available connectors, tools, and integrations. Detailed information is provided for each connector, along with links to its full documentation.

For overview pages on a specific type of integration, select one of the following buttons.

Data integrations

Query integrations

Visualization integrations

Comparison tables

The following tables summarize the capabilities of each item. Select the tab corresponding to connectors or tools and integrations. Each item name is linked to its detailed description.

The following table summarizes the available connectors and their capabilities:

Name Ingest Export Orchestrate Query
Apache Kafka ✔️
Apache Log4J 2 ✔️
Apache Spark ✔️ ✔️ ✔️
Azure Cosmos DB ✔️
Azure Data Factory ✔️ ✔️
Azure Event Grid ✔️
Azure Event Hubs ✔️
Azure Functions ✔️ ✔️
Azure IoT Hubs ✔️
Cribl Stream ✔️
Fluent Bit ✔️
JDBC ✔️
Logic Apps ✔️ ✔️ ✔️
Logstash ✔️
Matlab ✔️
NLog ✔️
ODBC ✔️
Open Telemetry ✔️
Serilog ✔️
Splunk ✔️
Splunk Universal Forwarder ✔️
Telegraf ✔️

Detailed descriptions

The following are detailed descriptions of connectors and tools and integrations. Select the tab corresponding to connectors or tools and integrations. All available items are summarized in the Comparison tables above.

Apache Kafka

Apache Kafka is a distributed streaming platform for building real-time streaming data pipelines that reliably move data between systems or applications. Kafka Connect is a tool for scalable and reliable streaming of data between Apache Kafka and other data systems. The Kafka Sink serves as the connector from Kafka and doesn't require using code. This is gold certified by Confluent - has gone through comprehensive review and testing for quality, feature completeness, compliance with standards, and for performance.

Apache Log4J 2

Log4J is a popular logging framework for Java applications maintained by the Apache Foundation. Log4j allows developers to control which log statements are output with arbitrary granularity based on the logger's name, logger level, and message pattern. The Apache Log4J 2 sink allows you to stream your log data to your database, where you can analyze and visualize your logs in real time.

Apache Spark

Apache Spark is a unified analytics engine for large-scale data processing. The Spark connector is an open source project that can run on any Spark cluster. It implements data source and data sink for moving data to or from Spark clusters. Using the Apache Spark connector, you can build fast and scalable applications targeting data driven scenarios. For example, machine learning (ML), Extract-Transform-Load (ETL), and Log Analytics. With the connector, your database becomes a valid data store for standard Spark source and sink operations, such as read, write, and writeStream.

Azure Cosmos DB

The Azure Cosmos DB change feed data connection is an ingestion pipeline that listens to your Cosmos DB change feed and ingests the data into your database.

Azure Data Factory

Azure Data Factory (ADF) is a cloud-based data integration service that allows you to integrate different data stores and perform activities on the data.

Azure Event Grid

Event Grid ingestion is a pipeline that listens to Azure storage, and updates your database to pull information when subscribed events occur. You can configure continuous ingestion from Azure Storage (Blob storage and ADLSv2) with an Azure Event Grid subscription for blob created or blob renamed notifications and streaming the notifications via Azure Event Hubs.

  • Functionality: Ingestion
  • Ingestion type supported: Batching, Streaming
  • Use cases: Event processing
  • Documentation: Event Grid data connection

Azure Event Hubs

Azure Event Hubs is a big data streaming platform and event ingestion service. You can configure continuous ingestion from customer-managed Event Hubs.

Azure Functions

Azure Functions allow you to run serverless code in the cloud on a schedule or in response to an event. With input and output bindings for Azure Functions, you can integrate your database into your workflows to ingest data and run queries against your database.

Azure IoT Hubs

Azure IoT Hub is a managed service, hosted in the cloud, that acts as a central message hub for bi-directional communication between your IoT application and the devices it manages. You can configure continuous ingestion from customer-managed IoT Hubs, using its Event Hubs compatible built in endpoint of device-to-cloud messages.

  • Functionality: Ingestion
  • Ingestion type supported: Batching, Streaming
  • Use cases: IoT data
  • Documentation: IoT Hub data connection

Cribl Stream

Cribl stream is a processing engine that securely collects, processes, and streams machine event data from any source. It allows you to parse and process that data for any destination for analysis.

Fluent Bit

Fluent Bit is an open-source agent that collects logs, metrics, and traces from various sources. It allows you to filter, modify, and aggregate event data before sending it to storage.

JDBC

Java Database Connectivity (JDBC) is a Java API used to connect to databases and execute queries. You can use JDBC to connect to Azure Data Explorer.

Logic Apps

The Microsoft Logic Apps connector allows you to run queries and commands automatically as part of a scheduled or triggered task.

Logstash

The Logstash plugin enables you to process events from Logstash into an Azure Data Explorer database for later analysis.

Matlab

MATLAB is a programming and numeric computing platform used to analyze data, develop algorithms, and create models. You can get an authorization token in MATLAB for querying your data in Azure Data Explorer.

NLog

NLog is a flexible and free logging platform for various .NET platforms, including .NET standard. NLog allows you to write to several targets, such as a database, file, or console. With NLog you can change the logging configuration on-the-fly. The NLog sink is a target for NLog that allows you to send your log messages to your database. The plugin provides an efficient way to sink your logs to your cluster.

ODBC

Open Database Connectivity (ODBC) is a widely accepted application programming interface (API) for database access. Azure Data Explorer is compatible with a subset of the SQL Server communication protocol (MS-TDS). This compatibility enables the use of the ODBC driver for SQL Server with Azure Data Explorer.

Open Telemetry

The OpenTelemetry connector supports ingestion of data from many receivers into your database. It works as a bridge to ingest data generated by Open telemetry to your database by customizing the format of the exported data according to your needs.

Serilog

Serilog is a popular logging framework for .NET applications. Serilog allows developers to control which log statements are output with arbitrary granularity based on the logger's name, logger level, and message pattern. The Serilog sink, also known as an appender, streams your log data to your database, where you can analyze and visualize your logs in real time.

Splunk

Splunk Enterprise is a software platform that allows you to ingest data from many sources simultaneously.The Azure Data Explorer add-on sends data from Splunk to a table in your cluster.

Splunk Universal Forwarder

Telegraf

Telegraf is an open source, lightweight, minimal memory foot print agent for collecting, processing and writing telemetry data including logs, metrics, and IoT data. Telegraf supports hundreds of input and output plugins. It's widely used and well supported by the open source community. The output plugin serves as the connector from Telegraf and supports ingestion of data from many types of input plugins into your database.

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