Microsoft Partner since 2011 Hortonworks: Hadoop for the Enterprise 100 745+ 556 Founded in 2011 % subscription customers ONLY 1 employees across ST HADOOP 1350 17 open source Apache Hadoop data platform distribution to go public countries TM IPO Fall 2014 (NASDAQ: HDP) technology partners HDInsight 8 TH largest consumption solution of Azure with millions of hours consumed monthly across hundreds of customers 2015 Cloud Partner of the Year Microsoft Partner since 2011

Big Data Opportunities For Modern Enterprises 2.8 Zettabytes in 2012 44 Zettabytes in 2020 NEW 1 Zettabyte (ZB) = 1 million Petabytes (PB); Sources: IDC, IDG Enterprise, and AMR Research Transform every industry via full fidelity of data and analytics Opportunity TRADITIONAL LAGGARDS LEADERS 2 Clickstream ERP, CRM, SCM Web & Social Geolocation Internet of Things Server Logs Files, Emails New Data Challenges Constrains data to app Can’t manage new data Costly to Scale 1 Business Value ERP CRM SCM Question 1

HDP delivers an Open Enterprise Hadoop Hortonworks Data Platform provides Hadoop for the Enterprise: a centralized architecture of core enterprise services, for any application and any data. Completely Open HDP incorporates every element required of an enterprise data platform: data storage, data access, governance, security, operations All components are developed in open source and then rigorously tested, certified, and delivered as an integrated open source platform that’s easy to consume and use by the enterprise and ecosystem. Hortonworks Data Platform 2.3 YARN: Data Operating System (Cluster Resource Management) 1 ° Apache Pig HDFS (Hadoop Distributed File System) GOVERNANCE BATCH, INTERACTIVE & REAL-TIME DATA ACCESS Apache Falcon Apache Hive Cascading Apache HBase Apache Accumulo Apache Solr Apache Spark Apache Storm Apache Sqoop Apache Flume Apache Kafka SECURITY Apache Ranger Apache Knox OPERATIONS Apache Ambari Apache Zookeeper Apache Oozie Question 1 Our product, the Hortonworks Data Platform (or HDP for short) is a completely open source, enterprise-grade data platform that’s comprised of dozens of Apache open source projects including Apache Hadoop and YARN at its center.   We have a comprehensive engineering, testing, and certification process that integrates and packages all of these components into a cohesive platform that the enterprise can consume and deploy at scale. And our model enables us to proactively manage new innovations and new open source projects into HDP as they emerge. To ensure the highest quality, we have a test suite, unique to Hortonworks, that is comprised of 10’s of thousands of system and integration tests that we run at scale on a regular basis including on the world’s largest Hadoop clusters at Yahoo! as part of our co-development relationship. While our pure-play competitors focus on proprietary components for security, operations, and governance, we invest in new open source projects that address these areas. For example, earlier in 2014, we acquired a small company called XA Secure that provided a comprehensive security and administration product. We flipped the technology in wholesale into open source as Apache Ranger. Since our security, operations and governance technologies are open source projects, our partners are able to work with us on those projects to ensure deep integration within our joint solution architectures. Apache Atlas

Hortonworks on Azure Infrastructure as a Service Hortonworks Data Platform on Azure Gallery Evaluation Configuration for rapid evaluation 5 node cluster Uses cost efficient A3 Azure virtual machines Standard Configuration for Proof of Concepts Flexible choice of 6-45 nodes Select from A7, A8, A9 Azure virtual machine sizes according to usage scenario Hortonworks Sandbox on Azure Gallery Hortonworks Sandbox for single-node learning environment Question 1

Why Azure HDInsight? Microsoft’s cloud Hadoop-as-a-Service offering 100% open source Apache Hadoop - HDP Built on the latest releases across Hadoop (2.6) Up and running in minutes with no hardware to deploy Harness existing .NET and Java skills Utilize familiar BI tools for analysis including Microsoft Excel Question 2 accessiblity to advanced analytics

Extending the Cloud Hybrid Deployment Choice Replicated Datasets Windows, Linux, On-Premises and Cloud Data “gravity” guides deployment Replicated Datasets Democratize Hadoop data access via automated sharing of datasets Compatible Clusters Run applications and data processing workloads wherever and whenever needed More than just dev/test Other Hadoop distributions promote only dev/test usage Dev / Test Microsoft Azure IoT Apps BI / ML On-Premises LEARN