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  2. List of big data companies - Wikipedia

    en.wikipedia.org/wiki/List_of_big_data_companies

    Cloudera, an American-based software company that provides Apache Hadoop-based software, support and services, and training to business customers; Compuverde, an IT company with a focus on big data storage; CVidya, a provider of big data analytics products for communications and digital service providers

  3. Palantir Technologies - Wikipedia

    en.wikipedia.org/wiki/Palantir_Technologies

    Palantir Technologies Inc. is an American publicly traded company that specializes in software platforms [3] for big data analytics.Headquartered in Denver, Colorado, it was founded by Peter Thiel, [4] Stephen Cohen, Joe Lonsdale, [5] and Alex Karp in 2003.

  4. Category:Big data companies - Wikipedia

    en.wikipedia.org/wiki/Category:Big_data_companies

    Pages in category "Big data companies" The following 58 pages are in this category, out of 58 total. This list may not reflect recent changes. *

  5. Snowflake Inc. - Wikipedia

    en.wikipedia.org/wiki/Snowflake_Inc.

    Snowflake Inc. is an American cloud-based data storage company. Headquartered in Bozeman, Montana, it operates a platform that allows for data analysis and simultaneous access of data sets with minimal latency. [1] It operates on Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

  6. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]

  7. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    Databricks, Inc. is a global data, analytics, and artificial intelligence (AI) company, founded in 2013 by the original creators of Apache Spark. [ 1 ] [ 4 ] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.

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