Azure HDInsight
Provision cloud Hadoop, Spark and HBase clusters.
OVERVIEW
Manage your big data needs in an open-source platform
Run popular open‑source frameworks like Hadoop, Spark, Hive, and Kafka with Azure HDInsight—an enterprise‑grade, customizable analytics service that processes massive data at global scale and simplifies migrating big data workloads to the cloud.
- Stay up to date with the newest releases of open source frameworks, including Kafka, HBase, and Hive LLAP. HDInsight supports the latest open-source projects from the Apache Hadoop and Spark ecosystems.
- Build your data lake through seamless integration with Azure data storage solutions and services including Azure Synapse Analytics, Azure Cosmos DB, Azure Data Lake Storage, Azure Blob Storage, Azure Event Hubs, and Azure Data Factory. Control costs by choosing from a wide variety of virtual machines and by leveraging load- or schedule-based autoscaling features. Monitor your entire data lake using Azure Monitor dashboards.
- Use your preferred productivity tools, including Visual Studio, Eclipse, IntelliJ, Jupyter, and Zeppelin. Write code in familiar languages such as Scala, Python, R, JavaScript, and .NET.
Features
Managed open-source clusters for secure, scalable analytics
Fast cluster setup
Open-source projects and clusters are easy to spin up quickly without the need to install hardware or manage infrastructure.
Flexible cost control
Big data clusters reduce costs through autoscaling and pricing tiers that allow you to pay for only what you use.
Trusted data protection
Enterprise-grade security and industry-leading compliance with more than 30 certifications helps protect your data.
Modern open‑source support
Optimized components for open-source technologies such as Hadoop and Spark keep you up to date.
Security
Embedded security and compliance
34,000
Full-time equivalent engineers dedicated to security initiatives at Microsoft.
15,000
Partners with specialized security expertise.
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>100
Compliance certifications, including over 50 specific to global regions and countries.
Pricing
Pay for only what you need
HDInsight offers a broad range of memory- or compute-optimized platforms (virtual machines). Choose the one that best suits your performance and cost requirements.
Customer stories
Trusted by companies of all sizes
Resources
HDInsight resources and documentation
FAQ
Frequently asked questions
- You would benefit from Azure HDInsight if you use custom code to process and analyze extremely large datasets with the latest big data processing frameworks such as Spark, Hadoop, Hive, Kafka or Hbase. Azure HDInsight gives you full control over the configuration of your clusters and the software installed on them. You might also consider HDInsight if you are migrating Hortonworks, Cloudera, or MapR clusters from on-premises environments or other clouds.
- Azure HDInsight can be used for a variety of scenarios in big data processing. It can be historical data (data that's already collected and stored) or real-time data (data that's directly streamed from the source). The scenarios for processing such data can be summarized in the following categories: batch processing (ETL), data warehousing, Internet of Things (IoT), data science, and hybrid.
- To learn more about HDInsight clusters types and provisioning methods, read our documentation about how to set up clusters in HDInsight with Apache Hadoop, Apache Spark, Apache Kafka, and more.
Next steps
Get started with an Azure free account
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