Categorizing Big Data Startups

How to cat­e­go­rize Big Data Com­pa­nies? These com­pa­nies are a mix of star­tups and exist­ing com­pa­nies. One way to think of them is as follows:

  • Data: Com­pa­nies cre­at­ing data, seg­men­ta­tion, con­tent, data over­lays and repack­ag­ing of exist­ing data. (eg Rapleaf, Dow Jones, National Weather Service)
  • Infra­struc­ture: Com­pa­nies cre­at­ing tools to man­age, store, deliver, opti­mize, mon­i­tor, or com­bine data. (most data­base providers, hard­ware com­pa­nies, stor­age man­age­ment, cloud providers)
  • Appli­ca­tions: Soft­ware appli­ca­tions to ana­lyze, visu­al­ize, pre­dict, or uti­lize big data (ana­lyt­ics and BI soft­ware, line of busi­ness applications)
  • Con­sult­ing and Strat­egy: Com­pa­nies that pro­vide con­sult­ing ser­vices on data, infra­struc­ture, or appli­ca­tions, data gov­er­nance, analy­sis of data.
  • Ser­vices: Com­pa­nies that use big data (all of the pre­vi­ous) to pro­vide a ser­vice to con­sumers and businesses.

Cat­e­gories of Big Data Companies

Visit my Pin­ter­est board for clip­pings of Big Data Startups

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