A cloud Spark and Hadoop service for enterprises

HDInsight is the only fully managed cloud Hadoop offering that provides optimised open-source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka and R-Server, backed by a 99.9% SLA. Each of these big data technologies and ISV applications are easily deployable as managed clusters with enterprise-level security and monitoring.

Reliable open-source analytics with an industry-leading SLA

Easily spin up enterprise-grade, open-source cluster types, guaranteed with the industry’s best 99.9% SLA and 24/7 support. Our SLA covers your entire Azure big data solution, not just the virtual machine instances. HDInsight is architected for full redundancy and high availability, including head node replication, data geo-replication and built-in standby NameNode, making HDInsight resilient to critical failures that are not addressed in standard Hadoop implementations. Azure also offers cluster monitoring and 24/7 enterprise support backed by Microsoft and Hortonworks with 37 combined committers for Hadoop core, more than all other managed cloud providers combined, ready to support your deployment with the ability to fix and commit code back to Hadoop.

HDInsight works with Hadoop projects like Apache HBase, Apache Storm, Apache Hive, Apache Spark and Apache Kafka
HDInsight meets compliance for HIPAA, PCI, SOC, DSS and ISO

Enterprise-grade security and monitoring

Protect your data assets and easily extend your on-premises security and governance controls to the cloud with HDInsight. It features single sign-on (SSO), multi-factor authentication, and seamless management of millions of identities through Azure Active Directory. You can authorise users and groups with fine-grained access control policies across all of your enterprise data with Apache Ranger. HDInsight is compliant with HIPAA, PCI and SOC, helping ensure that your enterprise data assets are always well-protected. To support the highest level of business continuity, HDInsight extends capabilities for alerting, monitoring and defining pre-emptive actions, and offers enhanced workload protection through native integration with Microsoft Operations Management Suite.

High-productivity platform for developers and scientists

Use rich productivity suites for Hadoop and Spark with your preferred development environment such as Visual Studio, Eclipse and IntelliJ for Scala, Python, R, Java and .Net support. Data scientists gain the ability to combine code, statistical equations and visualisations to tell a story about their data through integration with the two most popular notebooks, Jupyter and Zeppelin. HDInsight is also the only managed cloud Hadoop solution with integration with Microsoft R Server. Multi-threaded maths libraries and transparent parallelisation in R Server handle up to 1,000 times more data and up to 50 times faster speeds than open-source R, helping you train more accurate models for better predictions than previously possible.

Cost-effective cloud scale

Cost-effectively scale workloads up or down with decoupled compute and storage. Local storage can still be used for caching and fast I/O. Spark and interactive Hive users can choose SSD memory for interactive performance, while Kafka users can retain all streaming data in premium managed disks. Choose any Azure virtual machine type that enables the best utilisation of resources, and only pay for the compute and storage you use. A recent study showed that HDInsight delivered a 63% lower TCO than deploying Hadoop on premises.

Integration with leading productivity applications

A thriving market of independent software vendors (ISVs) provide value-added solutions across the broader ecosystem of Hadoop. Because every cluster is extended with edge nodes and script actions, HDInsight lets you spin up Hadoop and Spark clusters that are pre-integrated and pre-tuned with any ISV application out of the box, including Datameer, Cask, AtScale and StreamSets.)

Easy for administrators to manage

Deploy Hadoop in the cloud without buying new hardware or incurring other up-front costs. Launch your first cluster in minutes. There’s no time-consuming installation or set-up and no need to patch the operating system or upgrade Hadoop versions – Azure does it for you.

Customers building Hadoop clusters in Azure

Microsoft was recognised by Forrester Research as a leader in Cloud Hadoop Wave.

IDC found that HDInsight delivered a 63% lower TCO than deploying Hadoop on premises over five years.

Apache Hadoop® and associated open-source project names are trademarks of the Apache Software Foundation.

Find and deploy applications built for the big data ecosystem

Find and deploy popular applications from trusted Hadoop partners available in the Azure Marketplace.

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