Apache Spark for Azure HDInsight Alternatives (January 2026)

This article provides an introduction to Spark in HDInsight and the different scenarios in which you can use Spark cluster in HDInsight.

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1.
Azure HDInsight - Hadoop, Spark, and Kafka | Microsoft Azure
https://azure.microsof
.com/en-us/products/hdinsight/

Get HDInsight, an open-source analytics service that runs Hadoop, Spark, Kafka, and more. Integrate HDInsight with big data processing by Azure for even more insights.

2.
Data Lake Analytics | Microsoft Azure
https://azure.microsof
.com/en-us/products/data-lake-analytics/

Easily develop and run massively parallel data transformation and processing programs in U-SQL, R, Python, and .NET over petabytes of data.

3.
Azure Synapse Analytics | Microsoft Azure
https://azure.microsof
.com/en-us/products/synapse-analytics/

Azure Synapse Analytics is a limitless analytics service that brings together enterprise SQL data warehousing and big data analytics services.

4.
Big Data Platform - Amazon EMR - AWS
https://aws.amazo
.com/emr/

Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto.

5.
Data Lake | Microsoft Azure
https://azure.microsof
.com/en-us/solutions/data-lake/

Store data of any size, shape, and speed with Azure Data Lake. Power your big data analytics, develop massively parallel programs, and scale with future growth.

6.
Batch - Compute job scheduling service | Microsoft Azure
https://azure.microsof
.com/en-us/products/batch/

Learn about Azure Batch, a Microsoft cloud computing service for running large-scale parallel and batch compute jobs.

7.
Event Hubs—Real-Time Data Ingestion | Microsoft Azure
https://azure.microsof
.com/en-us/products/event-hubs/

Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.