Market Potential and Competitive Landscape:According to WikiBon, the total Big Data market reached $11.4 billion in 2012, ahead of Wikibon's 2011 forecast. WikiBon believes that the market will reach $18.1 billion in 2013, an annual growth of 61 percent. This puts it on pace to exceed $47 billion by 2017. That translates to a 31 percent compound annual growth rate over the five year period 2012-2017.
Competitive Landscape: Competitors include Endeca, Autonomy and Elasticsearch.
ADP is a named customer.
What they do: Provide a Hadoop/NoSQL Big Data platform.
Headquarters: San Jose, Calif.
CEO: John Schroeder, who previously served as CEO of Calista Technologies, which was acquired by Microsoft. Before that, he was CEO of Rainfinity, which EMC purchased.
Funding: In March 2013, MapR Technologies raised $30 million in VC funding in a round led by new investor Mayfield Fund, with participation from existing investors Lightspeed Venture Partners, NEA and Redpoint Ventures. This brings total funding to $59 million.
Why they're on this list: MapR finished in the top 10 in Startup50.com voting, has impressive VC backing and a CEO who knows how to see startups through to successful exits.
MapR's platform merges Hadoop, NoSQL, database and streaming applications into one unified Big Data platform. Anyone with even a cursory knowledge of Hadoop knows that speed isn't one of its claims to fame. MapR claims to have overcome the speed obstacle, while also offering such enterprise-grade features as "high availability, business continuity, real-time streaming, standard file-based access through NFS, full database access through ODBC, and support for mission-critical SLAs."
Competitive Landscape: Competitors include Cloudera, EMC, Pivotal, Hortonworks, and Intel.
Named customers include Ancestry, Rebicon and comScore.
What they do: Develop database technologies to enable "Fast Data."
Headquarters: Redwood City, Calif.
CEO: Mike Hummel, who previously co-founded Empulse, a portal solutions and software consulting company now specializing in Web 2.0 projects.
Funding: ParStream has secured $5.6 million in Series A funding from Khosla, Baker Capital, CrunchFund, Tola Capital and Data Collective.
Why they're on this list: Traditional databases just weren't designed for Big-Data-scale analytics, and they certainly aren't able to deliver those insights in real time. Traditional databases analyze data sequentially and aren't able to take advantage of advances in multi-core processing.
At CTIA 2013 CEO Michael Hummel noted that memory is a big bottleneck for traditional databases. Meanwhile, the Big Data database darling, Hadoop, has trouble scaling efficiently.
Hummel argues that ParStream's database was purpose-built for speed. Whereas many database platforms exist for the purpose of storing and analyzing large quantities of data, ParStream was designed to deliver faster response times and to reduce Big Data storage infrastructure costs in the process.
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