Pivotal has updated its Pivotal Big Data Suite Including Apache Hadoop Distribution
|Stuart Parkerson in Enterprise Friday, May 8, 2015|
Pivotal has updated its Pivotal Big Data Suite including upgrades to its enterprise-grade Pivotal HD Apache Hadoop distribution, and up to 100 performance improvements for its analytic solutions, including Pivotal Greenplum Database, which comes with the cost-based Pivotal Query Optimizer for big data.
These advancements are designed to help customers manage growing data sets driven by mobile, cloud, social, and the Internet of Things, and to tackle complex queries across these data sets at speed, scale, and flexibility.
Anchored in open-source software and based upon a subscription model, Pivotal Big Data Suite delivers software designed to scale up and support new and existing approaches to data architectures. The suite provides data processing, analytics, and application capabilities.
Providing performance gains for Pivotal Greenplum Database and Pivotal HAWQ, the new Pivotal Query Optimizer, offers an advanced cost-based query optimizer for big data. Pivotal Query Optimizer offers performance boosts to Pivotal HAWQ enterprise SQL on Hadoop engine and to Pivotal Greenplum Database.
Pivotal Big Data Suite delivers the first version of Pivotal HD based on an Open Data Platform (ODP) core and includes updates to Apache Hadoop components, including Apache Spark. Pivotal Big Data Suite is designed to provide customers with stability, management, security, monitoring, and data processing capabilities in the Hadoop stack. This allows enterprises to off-load more business-critical workloads to Hadoop, to store and process large volumes of data at lower costs and in way that is compliant with policies and regulations.
Using Pivotal Greenplum Database and Pivotal HAWQ provides the ability to handle a large number of diverse workloads at high performance which enables large teams to simultaneously work on multiple analytics use cases. It also offers the ability to handle big data volumes at scale without performance degradation as well as enhanced data structure and data management capabilities.
Pivotal HD, now based on a standardized Open Data Platform core consisting of Apache Hadoop 2.6 and Apache Ambari, updates existing Hadoop components for scripting and query (Apache Pig and Apache Hive), non-relational database (Apache HBase), along with basic coordination and workflow orchestration (Apache Zookeeper and Apache Oozie). It also adds Apache Spark core and machine learning library and additional Hadoop components for improved security (Apache Ranger (incubating), Apache Knox), monitoring (Nagios, Ganglia in addition to Apache Ambari) and data processing (Apache Tez).
Pivotal Big Data Suite includes recently announced application services that give developers the ability to leverage SQL and NoSQL databases, in-memory processing, and real-time environments to ensure high availability and resilience of strategic apps. Pivotal Big Data Suite components can be deployed on commodity hardware, pre-certified appliances, virtualized and private cloud instances, and in public clouds.
Read more: http://pivotal.io/big-data/pivotal-big-data-suite
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