April 2, 2014
Attunity Ltd. (NASDAQ CM: ATTU), a leading provider of information availability software solutions, today announced the release of Attunity Maestro, a new and innovative Big Data management platform designed to help organizations automate the complex process of composing, conducting and monitoring information flow across the entire global enterprise - easily and efficiently. The solution is expected to enable organizations to increase business productivity by empowering them to design and monitor large Big Data transfer processes using its powerful, unified control platform.
"Mapping, executing and managing the flow of data between a myriad heterogeneous systems - both analytical and operational/transactional systems - are critical functions for enterprises that want to become truly data-driven," said
Jeffrey Kelly, Principal Research Contributor and lead Big Data Analyst at Wikibon
, a leading open source IT research community focused on infrastructure, Big Data, cloud and software-led innovations. "Attunity Maestro is designed to simplify these otherwise complex functions so that enterprises can deliver the right data to the right system at the right time."
Supporting global data centers and cloud environments, Attunity Maestro is engineered for medium to large enterprises that need to integrate critical data transfer processes into daily business activity. The solution accelerates and coordinates data transmission and deployment processes of Big Data and large-file assets, delivering speed, simplicity and scalability to virtually any business or IT processes that require information availability.
Designed to meet the needs of a diverse portfolio of users: IT Operations, Lines of Business and Risk Management Teams alike, Attunity Maestro provides unique controls for defining, executing, managing and auditing all transaction and automation initiatives. Common uses will include data distribution to remote location(s), data consolidation for central analytics, enterprise-wide content management and sharing, and multi-stage content deployment.