San Francisco, March 5, 2014 - BMMsoft Inc. today announced that with a team of technology partners, including SAP, MD & Profy, HP, Intel, NetApp and Red Hat, it has generated a new world record for the world’s largest data warehouse using the BMMsoft EDMT(R) 9, SAP HANA® platform and SAP® IQ software. This independently audited 12.1PB data warehouse has been recognized by Guinness World Records, and is four times larger than the prior record. The announcement was made during a press conference held March 6 in San Francisco, Calif.
World-record 12 PB Data Warehouse is the first to store wide variety of data such as Enterprise Data Warehouse, emails/SMS and files and “Internet of Things” including RFID, sensor data, telemetry data, medical monitoring data) and using proven enterprise-grade technology from SAP (SAP HANA and SAP IQ), HP (DL 580 servers), NetApp (FAS6290 and E5460 storage) and Red Hat Enterprise Linux 6.
The award-winning system stored over 200 Trillion records and achieved loading speed of over 1 Billion records per second using BMMsoft Ultra Compression Module.
In addition to record-setting 12 PB EDMT system, BMMsoft, MD & Profy and Partners have tested number of EDMT configurations with data capacities with 100TB, 200TB, 500TB, 1PB and 5 PB. For more information about all EDMT systems contact BMMsoft or your local BMMsoft reseller.
See what BMMsoft partners SAP say about the new world record.
Federated EDMT® 9 improves scalability and integrates stand-alone EDMT® running on different databases
San Francisco, Calif., April 8, 2013 – BMMsoft Corporation today announced the availability of Federated EDMT® 9 Big BI Solution that combines multiple EDMT® platforms into one larger, fully integrated system
Federated EDMT® tightly integrates multiple EDMT® systems into one larger EDMT® system with virtually unlimited scalability, performance and reliability. In addition, Federated EDMT® allows stand-alone EDMT® systems to run on any of the supported databases (SAP Sybase IQ, SAP HANA, Hadoop, Oracle, Exadata, IBM Netezza and MySQL) to provide data integration, cross-search, information lifecycle management and data migration between those databases. Federated EDMT® simplifies integration of EDMT® systems with existing enterprise BI and Data Warehouse, without the cost and complexity of data and application migration.
Federated EDMT® 9 enables optimal real-time data acquisition, indexing and cross-analysis of multi-channel data of any type by using in-memory database for real-time, critical data and on-disk database for large, multi-petabyte data sets which may be impractical to store in memory. Data can be routed to a EDMT® instance with resources and functionality to optimally store and process given data set.
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.
EDMT® 9.1 enables existing BI and Data Warehouse running on HP-UX® to instantly include Big Data with minimal or no programming effort – and at record low price well under $10,000 per TB.
San Francisco, Calif., February 11, 2013 – BMMsoft Corporation today announced the availability of EDMT® 9.1 on Hewlett Packard’s HP-UX Integrity servers with Itanium processors, including the latest Intel 9500 CPU generation, code-named Poulson. EDMT® 9.1 extends BI, Data Warehouse and ERP system on HP-UX with Big Data for analytics using industry-standard SQL interface, all without the need to build massive and expensive Big Data systems.
Enterprises using HP-UX servers and EDMT® can include Big Data in their existing BI and OLTP systems without the need to 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.