CloudTran CloudTran In computing, CloudTran, a transaction management product, enables applications running in distributed computing and cloud computing architectures to embed logical business transactions that adhere to the properties of ACID transactions. Specifically, CloudTran coordinates ACID transactionality for data stored within in-memory data grids (e.g., Oracle Coherence, GigaSpaces, and Gemfire), as well as from the data grid to persistent storage systems (e.g., Oracle, MySQL, Microsoft SQL Server, MongoDB). Distributed computing has traditionally relied on a technology called distributed transactions which is an algorithm used to coordinate the storing of a logically-related set of data within more than one database or computer.
Data-intensive computing including parallel and distributed relational database management systems which have been available to run on shared nothing clusters of processing nodes for more than two decades. However most data growth is with data in unstructured form and new processing paradigms with more flexible data models were needed. Several solutions have emerged including the MapReduce architecture pioneered by Google and now available in an open-source implementation called Hadoop used by Yahoo, Facebook, and others. LexisNexis Risk Solutions also developed and implemented a scalable platform for data-intensive computing which is used by LexisNexis. The MapReduce architecture and programming model pioneered by Google