Traditional IT giants build large data comprehensive solutions

IBM, traditional It giants such as EMC, HP and so on, by their own in the database, business intelligence, storage, data analysis, etc., through mergers and acquisitions, investment and other means, integration of hardware and software business, the introduction of large-scale data-oriented integrated products and solutions, and thus consolidate the leading position in the IT field.

IBM takes data analysis as its core to build integrated capabilities

As the world's most important it vendor, IBM has 3 unique advantages in large data. One is IBM's extensive and integrated portfolio of information and analysis products and services, including enterprise-wide data platforms, analytics, and decision-making solutions. The second is the ability to use experience. In the field of analysis, IBM has successfully implemented more than 20,000 projects, more than 9,000 relevant professional consultants and specialized analytical solutions centers. Third, with advanced analytical ability. IBM has the largest mathematical department in the global Business enterprise, with more than 600 patents per year related to analysis, with IBM Woson, a Learning intelligence analysis system.

HP takes large mergers and acquisitions as a way to achieve full coverage of value chain

Large mergers and acquisitions around large data have enabled Hewlett-Packard to gradually achieve full coverage of large data value chains and become a provider of large data integration solutions.

On September 3, 2010, Hewlett-Packard bought 3PAR, the storage enterprise, with 2.35 billion dollars, its platform as the fastest-growing high-end storage platform, and HP's current largest storage product array. February 2011, Hewlett-Packard acquisition analysis and data management software company vertica,2011 year Vertica to achieve large data revenue of 84 million U.S. dollars. In August 2011, Hewlett-Packard bought the UK's second-largest software vendor, autonomy, with 10 billion dollars, and its software was designed to identify the relationship between structured and unstructured data.

HP integrates original technical capability with 3PAR, Autonomy and Vertica technical capabilities, and introduces a series of solutions for large data applications. Hewlett-Packard ranked third on the 550 million dollar scale of the 2012 global tech companies ' revenue rankings in the big Data market, released by Wikibon, an Open-source agency.

Oracle database-centric, fully meet user needs

In the large data market, Oracle follows its consistent integrated design approach, with large data machines as the source of large data, and with its database cloud server Exadata, Business Intelligence cloud Server Exalytics and other related software (such as NoSQL database, R analysis, etc.) to form a solution to fully meet the user's large data requirements.

EMC takes cloud computing as a platform for larger data processing operations

EMC is one of the earliest preachers of large data. Focus more on large machines and larger management software than competitors. EMC believes that cloud computing, open, distributed, and cluster technologies should be used to scale up data processing. Overall, EMC's large data positioning is through providing solutions that enable users to derive maximum value from the data source, increase flexibility, and improve efficiency. EMC large data solutions are architected on resilient, scale-out storage platforms, running feature-designed analytics tools that handle structured and unstructured data, delivering actionable insights in production environments and business process platforms.

(Responsible editor: The good of the Legacy)