HDInsight is the only fully-managed cloud Hadoop offering that provides optimized 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.
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 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.
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 authorize users and groups with fine-grained access control policies over all your enterprise data with Apache Ranger. HDInsight meets HIPAA, PCI, and SOC compliance, helping ensure 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, plus offers enhanced workload protection through native integration with Microsoft Operations Management Suite.
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 visualizations 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 to Microsoft R Server. Multi-threaded math libraries and transparent parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open source R, helping you train more accurate models for better predictions than previously possible.
Cost-effectively scale workloads up or down through 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 utilization of resources, and only pay for the compute and storage you use. A recent study showed HDInsight delivered 63% lower TCO than deploying Hadoop on-premises.
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 action, 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.)
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.
Microsoft was recognized by Forrester Research as a leader in Cloud Hadoop Wave.
IDC found HDInsight delivered 63% lower TCO than deploying Hadoop on premises over five years.
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