SAN MATEO, Calif., June 29, 2012 – Datameer, Inc., a data analytics application that enables end users to discover insights and trends in any data, is enabling researchers to quickly analyze complex data sets to find and visually communicate their discoveries. Starting today, Datameer is offering a free license of its data analytics application for qualifying academic research.
Academic researchers are particularly challenged by the massive amounts of data needed for their research. Collecting and analyzing data requires enormous computational effort and has typically been slow and tedious, often requiring a computer science background. Datameer offers an end-user focused tool that enables researchers themselves to integrate large quantities of data, do complex analysis in a familiar spreadsheet-like interface, and then visualize their results to easily understand, communicate and share their findings.
Datameer leverages the unlimited storage and compute capabilities of Apache Hadoop, a distributed computational platform that works on commodity hardware, to do the analysis in a faster, more economical way.
Dr. Douglas Grubb, of Leibniz Institute of Plant Biochemistry, Halle, Germany, and Datameer set up an analysis that identifies functional RNA structures in the genomes of certain plants. Dr. Grubb’s work demonstrated that biologists can use Datameer to perform analyses on a Hadoop cluster, which could then scale on demand, for instance, on the Amazon Elastic Compute Cloud (EC2).
“With the right big data analytics tools, the possibilities are really endless,” said Dr. Grubb. “Datameer lets me focus on my research rather than complex data storage or analytics infrastructure. This will significantly increase the pace at which we can conduct meaningful scientific research.”
“We’re extremely committed to helping researchers work with their data to find the insights they’re looking for,” said Stefan Groschupf, CEO of Datameer. “Datameer reduces the common barriers to research findings by lowering costs, getting technology out of the way, and giving users the right tools to explore their data freely and visually.”
For more information on Datameer and to apply for a free license, please click here. To learn more about Dr. Grubb’s work and how Datameer can be used for bio-informatics and RNA analysis, visit datameer.com/bioinformatics.