Competitive landscape: Skytree says that most of the competition they run into is either from roll-your-own solutions or from legacy BI platforms from the likes of SAS and IBM, which potential customers may simply choose to stick with.
Customers include eHarmony, SETI, USGA, and Adconion Media.
What they do: Provide data analytics tools focused on delivering marketing, sales and social media insights.
Headquarters: New York
CEO: Dane Atkinson. He was formerly CEO of Squarespace.
Funding: SumAll is backed by two rounds of funding that total $7.5 million from Battery Ventures, Wellington Partners, Matrix and General Catalyst.
Why they're on this list: SumAll finished third in Startup50.com voting, and CEO Dane Atkinson has seen several startups through to successful exits.
SumAll's product is an analytics tool that helps businesses make more money by using their own data. SumAll tries to break down various data silos, from those associated with legacy apps to those involved with social media.
SumAll brings all the disparate revenue, payment, social and organic traffic data into one place so users can see the interactions across their business and understand if a social campaign is driving traffic which is converting into traffic. SumAll can help businesses figure out, say, the value of a "like" on Facebook or the value of a website visit.
Competitive landscape: These aren't necessarily head-to-head comparisons, but SumAll will compete with Hootsuite, Nimble, Gooddata and Kissmetrics.
Customers include Siemens, Diamond Candles, and Urbio.
What they do: Provide Hadoop as a Service for big data analytics.
Headquarters: Tel Aviv, Israel
CEO: Yaniv Mor. Prior to founding Xplenty, Mor managed the NSW SQL Services practice at Red Rock Consulting.
Funding: They're backed by an undisclosed amount of seed funding raised from Magma Venture Capital in June 2012.
Why they're on this list: Hadoop is being hyped to the moon these days, but development, implementation and maintenance of Hadoop require a very specific and arcane skill set. Xplenty's goal is to eliminate your need to learn any of that.
Xplenty provides a data integration platform that processes big data. A drag-and-drop interface eliminates the need to write complex scripts or code of any kind.
Xplenty is cloud based, so there is no installation of anything on an end user's servers, and there is no software to download onto workstations. With automated server configuration, users simply point to a data source, configure the data transformation tasks and tell the platform where to right the results to. Xplenty's platform uses SQL terminology, so for data analysts, the learning curve should be minimal.
Market potential and competitive landscape: According to TechNavio, the Hadoop-as-a-Service market will top $19 billion by 2016. Xplenty's main competitor is Amazon Elastic Map/Reduce (EMR). Other Hadoop-as-a-Service competitors include Mortar Data, Qubole, and recently Microsoft with Hadoop on Azure. Rackspace is about to launch its own Hadoop-as-a-Service offering based on Hortonworks' distribution.
Jeff Vance is a freelance writer based in Santa Monica, Calif. Connect with him on Twitter @JWVance or by email at firstname.lastname@example.org.
Read more about big data in CIO's big data Drilldown.