Decoupled compute and storage provide better performance and flexibility. You can also build data pipelines to operationalize your jobs. HDInsight enables you to scale workloads up or down. You can reduce costs by creating clusters on demand and paying only for what you use. HDInsight also provides an end-to-end SLA on all your production workloads. Why should I use Azure HDInsight? CapabilityĪzure HDInsight enables you to create optimized clusters for Hadoop, Spark, Interactive query (LLAP), Kafka, HBase on Azure. To read more about Hadoop in HDInsight, see the Azure features page for HDInsight. To see available Hadoop technology stack components on HDInsight, see Components and versions available with HDInsight. With these frameworks, you can enable a broad range of scenarios such as extract, transform, and load (ETL), data warehousing, machine learning, and IoT. You can use the most popular open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka and more. Azure HDInsight makes it easy, fast, and cost-effective to process massive amounts of data in a customizable environment. What is HDInsight and the Hadoop technology stack?Īzure HDInsight is a cloud distribution of Hadoop components. With HDInsight, you can use open-source frameworks such as, Apache Spark, Apache Hive, LLAP, Apache Kafka, Hadoop and more, in your Azure environment. Azure HDInsight is a managed, full-spectrum, open-source analytics service in the cloud for enterprises.
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