Greenplum Pivotal HD: Enterprise-Ready Apache Hadoop

A Fast, Proven SQL Database Engine for Hadoop

Unlike new SQL-on-Hadoop entrants, Pivotal Advanced Database Services bring over 10 years of innovation that has resulted in a rich, powerful SQL query optimizer and processor optimized to run analytical queries and mixed query workloads in massively parallel, distributed environments. Like Pivotal HD Enterprise, ADS can be deployed as software, as an appliance, or virtualized in private or public cloud environments.

Hadoop In The Cloud: Pivotal HD Virtualized by VMware

Hadoop Virtualization Extensions (HVE) facilitate installation and management of Pivotal HD Enterprise in public and private clouds using VMware-designed deployment and management tools. HVE tools speed provisioning and simplify creation of virtualized high availability and fault tolerance with physical infrastructure awareness. With HVE, Pivotal HD Enterprise can deliver truly elastic scalability in the cloud, augmenting on-premises deployment options that include software and appliance deployments.

Isilon Scale Out NAS for Pivotal HD Enterprise

Pivotal HD Enterprise offers pluggable HDFS storage to simplify the delivery of highly available Hadoop data and applications. Users can opt to use traditional HDFS storage on direct-attach disks with Pivotal HD Enterprise, or they can run it on EMC Isilon’s OneFS Scale-Out NAS Storage.

EMC Isilon gives HD users options to increase reliability and cut overall costs, without sacrificing compatibility with Apache HDFS. Isilon improves storage efficiency, scales elastically and simplifies loading. Data availability is improved through built-in redundancy, data mirroring, time-based snapshots and replication and simplicity.

As opposed to scenarios where users must build and manage highly available native HDFS systems, staffing costs are lower using Pivotal HD with EMC Isilon. Your staff can focus on business analysis and data management, rather than squandering time and resources on the complexities of configuring and managing a Hadoop infrastructure.

Rapid Hadoop: Pivotal HD Enterprise and Greenplum Data Computing Appliances

Greenplum Data Computing Appliances (DCAs) provide you with pre-tested, pre-optimized, pre-configured Pivotal HD infrastructure. Delivered as modular systems, DCAs enable Pivotal HD Enterprise to be delivered and at work within days, and can be easily scaled without disruption. DCA-based HD deployments improve information availability, leveraging the DCA’s fully redundant architecture.

Once installed, DCAs are easily managed using the same Command Center console that is used to manage Pivotal HD itself. DCAs can also report detailed system status to your data center management infrastructure using Simple Network Management Protocols (SNMP), as well as EMC support centers if configured to do so.

Big Data Analytics Capability and Productivity

Analyzing big data efficiently requires massively-parallel architectures like Hadoop. To take advantage the computational capacity of MPP sytems, the statistical, mathematical, and machine learning algorithms must be refactored to run efficiently in a parallel environment. Pivotal HD’s Advanced Database Services offer these capabilities through MADlib, a library of MPP-capable algoritnms that extend the SQL capabilities of Hadoop. In addition, Pivotal HD Enterprise includes Apache Mahout, an open-source parallelized analytical library for MapReduce users.

With Pivotal HD, your experienced team is prepared to tackle increasingly complex analytics challenges. To further enhance productivity, Pivotal HD Enterprise supports the Chorus Analytical Productivity Platform. Chorus offers a social-media inspired environment where your data analysts, data scientists, IT staff, DBAs, executives, and other stakeholders can collaboratively identify and address Big Data opportunities even faster than before. Chorus increases productivity across the data science team at all levels of the Big Data value chain, from searching, exploring, visualizing and importing data through analysis, developing insights, selecting analytic methods, to creating workflows to harness the value of Big Data.

Pivotal HD Technologies