Hortonworks Data Platform 1.2 Available Now!
Hortonworks Data Platform 1.2 is now available for download at: http://hortonworks.com/products/hortonworksdataplatform/.
Hortonworks Data Platform (HDP) 1.2, the industry’s only complete 100-percent open source platform powered by Apache Hadoop is available today. The enterprise-grade Hortonworks Data Platform includes the latest version of Apache Ambari for comprehensive management, monitoring and provisioning of Apache Hadoop clusters. By also introducing additional new capabilities for improving security and ease of use, HDP delivers an enterprise-class distribution of Apache Hadoop that is endorsed and adopted by some of the largest vendors in the IT ecosystem.
Hortonworks continues to drive innovation through a range of Hadoop-related projects, packaging the most enterprise-ready components, such as Ambari, into the Hortonworks Data Platform. Powered by an Apache open source community, Ambari represents the forefront of innovation in Apache Hadoop management. Built on Apache Hadoop 1.0, the most stable and reliable code available today, HDP 1.2 improves the ease of enterprise adoption for Apache Hadoop with comprehensive management and monitoring, enhanced connectivity to high-performance drivers, and increased enterprise-readiness of Apache HBase, Apache Hive and Apache HCatalog projects.
“We are pleased to see the continued evolution of the Hortonworks Data Platform – a key component for capturing and refining data in the Teradata Unified Data Architecture, which provides deeper analytical insights across all data for any end-user or application,” said Scott Gnau, president, Teradata Labs. “The focus on system management with this release allows for seamless integration with Teradata Viewpoint, allowing our customers to have a single administration view across the Teradata data warehouse, Teradata Aster discovery platform, and Apache Hadoop in their enterprise architecture, resulting in a lower cost of operation.”
The Hortonworks Data Platform 1.2 features a number of new enhancements designed to improve the enterprise viability of Apache Hadoop, including:
- Simplified Hadoop Operations—Using the latest release of Apache Ambari, HDP 1.2 now provides both cluster management and the ability to zoom into cluster usage and performance metrics for jobs and tasks to identify the root cause of performance bottlenecks or operations issues. This enables Hadoop users to identify issues and optimize future job processing.
- Improved Security and Multi-threaded Query—HDP 1.2 provides an enhanced security architecture and pluggable authentication model that controls access to Hive tables and the metastore. In addition, HDP 1.2 improves scalability by supporting multiple concurrent query connections to Hive from business intelligence tools and Hive clients.
- Integration with High-performance Drivers Built for Big Data—HDP 1.2 empowers organizations with a trusted and reliable ODBC connector that enables the integration of current systems with high-performance drivers built for big data. The ODBC driver enables integration with reporting or visualization components through a SQL engine built into the driver. Hortonworks has partnered with Simba to deliver a trusted, reliable high-performance ODBC connector that is enterprise ready and completely free.
- HBase Enhancements—By including and testing HBase 0.94.2, HDP 1.2 delivers important performance and operational improvements for customers building and deploying highly scalable interactive applications using HBase.
“The inclusion of the newest version of Apache Ambari in the Hortonworks Data Platform represents a major step forward in the open source community and the Apache Hadoop ecosystem,” said Herb Cunitz, president of Hortonworks. “With a number of new features designed to improve the ease of use, management and security of Apache Hadoop, our newest release of the Hortonworks Data Platform is helping solidify Hadoop’s position as the de facto next-generation enterprise data platform. Hortonworks remains solely committed to developing a 100-percent open source, stable and reliable Apache Hadoop-based platform that will help grow and expand the ecosystem around Hadoop, driving the collection, storage, management and analysis of big data at leading enterprise organizations worldwide.”