Apache™ Hadoop® is a proven open source platform that not only disrupts the economics of previous paradigm data and analytic solutions, but it also empowers enterprises to solve the growing problems associated with managing Data-at-rest and Data-in-motion. Deploy big data analytics in the cloud with Hadoop and get real-time actionable insights with industry-leading agility, scalability, speed and ROI for your organization.
Hortonworks Cloud Solutions leverages the connected data architecture with Hadoop and Apache Spark in the cloud for seamlessly creating and managing big data clusters in any public cloud environment. Microsoft Azure HDInsight service is Hortonworks’ Premier Cloud solution.
MICROSOFT AZURE HDINSIGHT
A cloud Apache Spark and Hadoop solution for the enterprise. Azure HDInsight is the only fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Apache Spark, Apache Hive, MapReduce, Apache HBase, Apache Storm, Apache 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. Try our market-leading solution for free and quickly get big data analytics in the cloud for your organization.
An easy-to-use, cost-effective service for handling big data use cases with Apache Hadoop, Apache Hive, and Apache Spark in the cloud. Powered by Hortonworks Data Platform, it is delivered and sold via the AWS Marketplace. It is optimized to run well in cloud environments for enterprise ephemeral workloads. And it comes with out of the box support for S3 connectivity and shared hive metastore. Start analyzing and processing vast amounts of data quickly.
Cloudbreak provides a simple path to deploy Hadoop clusters on cloud infrastructure such as Amazon Web Services, Microsoft Azure and Google Cloud Platform. As part of the Apache Ambari, Cloudbreak allows enterprises to simplify the provisioning of clusters for big data analytics in the cloud and optimizes the use of cloud resources with elastic scaling.
This week, Hortonworks announced the availability of a new support subscription, the Hortonworks Flexible Support Subscription. But what does this mean? The definition of flexible is as follows “characterized by...
Apache Spark 2.1 Improves in Structured Streaming and Machine Learning. Structured Streaming: Kafka .10 support, Metrics & Stability improvements Machine Learning: SparkR Improvements including new ML algorithms for LDA, Random...
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