by Angela Guess

According to a recent press release, “Fujitsu Laboratories Ltd. today announced the development of technology to integrate and rapidly analyze NoSQL databases, used for accumulating large volumes of unstructured IoT data, with relational databases, used for data analysis for mission-critical enterprise systems. NoSQL databases are used to store large volumes of data, such as IoT data output from various IoT devices in a variety of structures. However, due to the time required for structural conversion of large volumes of unstructured IoT data, there was an issue with the processing time of analysis involving data across NoSQL and relational databases.”

The release goes on, “Now Fujitsu Laboratories has developed technology that optimizes data conversion and reduces the amount of data transfer by analyzing SQL queries to seamlessly access relational databases and NoSQL databases, as well as a technology that automatically partitions the data and efficiently distributes execution on Apache Spark, a distributed parallel execution platform, enabling rapid analysis integrating NoSQL databases to relational databases.”

It continues, “When this newly developed technology was implemented in PostgreSQL, an open source relational database, and its performance was evaluated using open source MongoDB as the NoSQL database, query processing was accelerated by 4.5 times due to the data conversion optimization and data transfer reduction technology. In addition, acceleration proportional to the number of nodes was achieved with the efficient distributed execution technology on Apache Spark.”

Read more at Press Release Network.

Photo credit: Fujitsu