What you missed in Big Data: graph processing and machine learning

Most traditional data management products aren't equipped to handle the increasingly complex and diverse information that is flowing into the corporate network these days. As a result, organizations are turning to new solutions like Neo4j. The widely used graph store, which sets itself apart by providing the ability to easily log the relationships among records, received a major update last week that promises to streamline large-scale analytics initiatives. The biggest change is in the way that Neo4j synchronizes queries and information across the servers on which it's deployed. Neo Technology Inc., the company behind the database, replaced the nearly 20-year-old PAXOS algorithm that was used for the task before with a much newer alternative called RAFT.