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Oracle, HP and IBM are going big on big data

Oracle, HP and IBM are going big on big data

Oracle, HP and IBM have this week unveiled a series of updates to their big data portfolios in a bid to strengthen their grip on the database and analytics markets.

Oracle released updates to its big data discovery tools and GoldenGate for transactional data, and released Oracle Big Data SQL 1.1 and Oracle NoSQL Database 3.2.5.

HP integrated a distributed R analytics engine to bolster the predictive analytics capabilities of its Haven portfolio, its cloud-based analytics platform, while adding data acceleration and native SQL support to Veritca, the company’s database management software.

IBM meanwhile focused on the marriage of machine learning and Hadoop, delivering support for distributed R as well as a number of pre-configured modules to help customers query data, visualise, explore and conduct distributed machine learning at scale with BigInsights for Hadoop.

The moves seem broadly aimed at marrying multiple data platforms (NoSQL, SQL, Hadoop) on the backend and introducing more robust, faster analytic capabilities – two sometimes conflicting objectives.

Some analyst houses believe attempts to stitch together diverse data platforms with translation interfaces and data discovery tools is a necessary step towards the evolution of a singular data layer that can be effectively used for all kinds of information.

“One type of technology will no longer suffice in supporting all the analytics use cases. At the same time, data management and analysis as a series of unrelated projects results in an unmanageable IT quagmire and unnecessary risks,” said Dan Vesset, vice president of business analytics research, IDC.

“IDC predicts that by 2017 unified data platform architecture will become the foundation of enterprise-wide big data and analytics strategy. The unification will occur across information management, analysis and search technology,” Vesset added.

IDC predicts the big data market will reach $125bn in 2015, with the Internet of Things likely to contribute to a steep acceleration of that market.

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