EDMT® 9.1 on Hadoop supports Big Data’s popular platform at very low per-TB price
San Francisco, Calif., March 11, 2013 – BMMsoft Corporation today announced the availability of EDMT® 9.1 on Hadoop platform to support one of the most popular Big Data platforms.
Companies who are experimenting or testing Big Data and Hadoop can now use EDMT® 9.1 to start storing, indexing and searching large volumes of unstructured data using Hadoop, all without the need to go through long programming phase or build expensive experimental Big Data systems. EDMT® 9 performs real-time data acquisition, indexing, access and cross-analysis of structured data (i.e. database records) and unstructured data such as social networks, emails, documents and multimedia.
“The power of EDMT® 9, combined with Hadoop massively scalable platform provides customer with ready-to-go system. Using EDMT® 9.1 on Hadoop HDFS and proven 3-way data replication, customers get platform with built-in data redundancy commonly used in Hadoop environments” said Paul Krneta, CTO of BMMsoft. “We have built the World’s Largest Big Data Database (1 Petabyte in size) in 2008 and world’s fastest Big Data loader in 2011, and with EDMT® 9.1 we’ve made that technology available to Hadoop customers all over the world”.
Social networks, email, SMS, documents, multi-media, web content and database transactions contain critical insight and enable multi-channel analytics, BI reporting, litigations, audit, fraud detection, compliance and forensic analysis. Historically, solutions that can provide such functionality were out of reach of many enterprises who did not have the expertise, large programming teams nor budgets.
“For organizations undertaking Hadoop testing to handle the Volume, Velocity, Variety and Veracity of data, not only can the EDMT solution can handle those needs, it also competes and price points in line with other Hadoop based solutions, without the disruption.” continued Krneta.
EDMT 9.1 uses patented parallel ingest processing and proprietary real-time indexing methods to automatically tag, create metadata and ingest an entire data set into EDMT® 9.1 at speeds necessary to handle Big Data by even the largest enterprises. Resulting unified data can then be accessed and analyzed using common reporting, search and visualization tools.
Headquartered in San Francisco, CA, BMMsoft is a leading provider of Real-Time Big Data Analytic software that extends BI and Data Warehouse systems with storage, integration, management and analysis of Big Data. Its flagship product, EDMT®, is in use by commercial and government organizations in the United States, Europe and Asia to store, access and analyze very high volumes of structured and unstructured data in a single database to perform most demanding BI and mixed BI-text analytics up to 10,000x faster and at a fraction of the cost of alternative Big Data solutions. For more information visit www.bmmsoft.com.