Datameer was founded in 2009 to help businesses run analytics against large data sets with no programming required. With its latest release, Datameer is introducing two new versions of its data analytics software that can be run on the desktop or on an enterprise’s own server.
The Enterprise version of its product is based on Apache Hadoop, and would work with any Hadoop distributor, whether it be Cloudera, Hortonworks, EMC, or anyone else. With Version 2.0, users of the enterprise client will still have that capability. But in addition to that, Datameer is rolling out two new versions of its software: a personal edition, which can run on the desktop, as well as a workgroup edition, which can run on a single server.
Yes, Hadoop on a desktop. All you have to do is download the Datameer software and install it, and Hadoop will be running natively on your machine.
Data visualization isn’t always easy, especially if your data is coming from a wide variety of sources. Datahero, which is launching its private alpha today, wants to make it easier for individuals, small companies and even enterprises to visualize and understand their data without having to worry about data formats and SQL queries. The company plans to opens its web-based service up to the public later this year. As the company’s co-founders Chris Neumann and Jeff Zabel told us earlier this week, Datahero also just raised a $1 million funding round led by Foundry Group, with participation by Neu Venture Capital, Dave Kellogg, Tasso Argyros, Mayank Bawa, Mike Greenfield, and Jonathan Goldman.
The company’s co-founders are both tech industry veterans, but are coming to this new business from two different directions. Neuman previously worked at Aster Data, a big data analytics company that was doing “big data analytics” before anybody really called it that. Zabel, on the other hand, previously worked on consumer-facing products at BMW’s Palo Alto lab, where he was, among other things, responsible for BMW’s iPhone integration and Google Maps send-to-car-GPS functionality.
In an interview earlier this week, Neumann and Zabel noted that, in their view, there has been a big shift in how people want to interact with their data now that they have so much information at their fingertips. Current business intelligence tools, however, are often antiquated and hard to use. Combing their expertise in big data analysis and consumer-facing design, the two decided to tackle this problem.
While Datahero is still keeping its user interface out of the public eye, the co-founder told me that the idea here is to make it extremely easy to import data either directly from services the company is partnering with (though they wouldn’t say who they are working with) or from basic CSV files. Datahero will try to figure out how to interpret and display this data in the best possible way. Power users, however, will also be able to go in and manipulate the data and the way it is visualized in any way they want. This, says the company, will allow non-experts to do their own data analysis, something that is currently still hard in most business environments, making this space ripe for disruption.
It’s hard not to look at this product without wondering if this isn’t more of a feature that a company like Salesforce.com, SAP or Microsoft would offer as part of their overall business solutions. Neumann and Zabel, however, argue that what they are doing is more than just a feature, as they are not beholden to any vendor and let users import data from any source they want.
While the company isn’t talking about its plans for the future, it’s pretty obvious that the ambition here goes far beyond pie charts and scatter plots. With its teams’ background in big data analysis, visualization is surely just one of the first areas the company plans to tackle and more advanced analysis tools will surely follow soon.
Filed under: #mktgcloud, Data, Datarati, Marketing Automation, Revenue Performance Management (RPM) | Tags: Data, Datarati, Marketing Automation, Marketo, Revenue Performance Management
On the heels of acquiring sales data analytics company Varicent last week, Big Blue is making another buy in the data space today— Vivisimo. Financial terms were not disclosed.
Vivisimo, which has raised $6 million in funding, launched as a spin-off from Carnegie Mellon and applies clustering technology to enterprise search. Vivisimo provides enterprises with search software that helps organizations access and analyze big data across the enterprise.
Vivisimo products are available for standalone search applications or as OEM versions embedded within partner applications and solutions. The software automates the discovery of data and helps employees navigate it with a single view across the enterprise.