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Pivotal eyes cloud, big data, and app development

Analytical DBMS: Pivotal Greenplum Database.
In-memory DBMS: Pivotal GemFire and SQLFire. Pivotal HD used in combination with GemFire XD and HAWQ for in-memory analysis on top of Hadoop.
Stream-analysis option: Pivotal is working a project aimed at integrating its GemFire (NoSQL) and SQLFire in-memory data grid capabilities with Pivotal Hadoop and Spring XD as a data-ingest mechanism to support scalable, streaming-data analysis.
Hadoop distribution: Pivotal HD.
Hardware/software systems: Pivotal Data Computing Appliance

Theres no shortage of ambition at Pivotal, an EMC spinoff that offers big-data infrastructure as well as an abstraction layer for cloud computing (based on Cloud Foundry) and an agile application development environment (based on SpringSource). Pivotals big-data and analytics capabilities blend the Pivotal HD Hadoop distribution with GemFire SQL Fire in-memory technology, the Greenplum database, and HAWQ (Hadoop With Query) SQL querying capabilities. It also has close ties and in-database integrations with SAS analytics.

The question with Pivotal is just how much energy, investment, and "oomph" it can bring to three bold fronts of next-generation computing: big data, cloud, and application development. Pivotals largest competitors -- IBM, Oracle, and Microsoft -- can rely on the revenue from well-established data-integration, data-quality, BI, and analytics software that Pivotal lacks. Competitors such as Cloudera, Hortonworks, and Teradata can focus exclusively on big-data analytics. Time will tell if Pivotals products and execution can keep up with its bold ambitions for big data as well as cloud integration and application development.