Dell and ParAccel used a joint customer event in New York City last week as a low-ish key coming out party for their partnership, which has Dell reselling ParAccel's Analytics Platform. At the core of the platform is a MPP - massively parallel processing - database that runs across multiple compute nodes, which is where Dell's server hardware, storage and networking fits in.
ParAccel's MPP approach allows its platform to scale linearly for massive data, analytic complexity, and increasing numbers of users. Its architecture supports compiled queries that can be run on each compute node, fully in-memory processing and UDP-based communications between nodes, all for maximum efficiency. On top of the MPP database, ParAccel's platform allows integration with data sources, with analytics, and with big data frameworks, such as Hadoop.
Dell's partnership with ParAccel is just one example of its positioning in the big data space. It also partners with RainStor, for high performance data storage and archiving, with Cloudera for its Hadoop distribution, and Datameer for visualisation and analytics on top of Hadoop. It also works with Kove and its RAM storage appliance, as does ParAccel, which leverages Kove for instantaneous cloning of its database.
ParAccel - which competes with the likes of EMC's Greenplum unit and IBM's Netezza division - has customers across a number of verticals, but lists Goldman Sachs and Royal Bank of Scotland among those in financial services. It also details its work with a global investment bank in a case study focusing on replacing a Sybase IQ database for risk analysis.