Filed under: Actionable Insights, Big Data, Business Intelligence, Marketing Automation, Revenue Performance Management (RPM)
The WordPress.com stats helper monkeys prepared a 2012 annual report for this blog.
Here’s an excerpt:
4,329 films were submitted to the 2012 Cannes Film Festival. This blog had 48,000 views in 2012. If each view were a film, this blog would power 11 Film Festivals
Pretty much everyone nowadays is chasing after the opportunity to take a shit-ton of unstructured data, and well, structure it. That means taking huge databases and making them searchable. Which is exactly the business that Clustrix is in. The company was founded in 2005 and about two years ago, it launched aproprietary database appliance that provides SQL database functionality at like, limitless scale.
Now with its product mature and the market wide open, Clustrix has raised $6.75 million from existing investors Sequoia Capital, USVP, and ATA Ventures. Robin Purohit, who took over as president and CEO of the company last October, tells me that it’s a round of convertible debt being used as a bridge to an upcoming Series C round.
As companies from small startups to large enterprise continue to generate an ever-increasing amount of data, the demand for affordable and scalable databases also increases. Typically, this market has been the domain of large vendors like Oracle, but besides them and the usual open-source players, we’ve also seen a growing number of closed-source startups enter this space. Citus Data, which is launching version 1.0 of its CitusDB today, is the latest startup to challenge these incumbents.
The Y Combinator graduate (the company was part of the summer 2011 class) develops a scalable analytics database that’s built on top of PostgreSQL. Unlike its direct competitors, the company makes its product available for free for users who only need up to eight nodes. It’s also, as the company notes, “the first such database that’s available for download.”
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.