Consider using ACID-compliant graph databases like Neo4j instead of other NoSQL or RDBMS databases
A graph database is purpose-built to handle highly connected data, and the increase in the volume and connectedness of today’s data presents a tremendous opportunity for sustainable competitive advantage . When it comes to applying a graph database to a real-world problem, with real-world technical and business constraints, enterprise organizations choose graph databases for the following reasons: Minutes-to-Milliseconds Performance Query performance and responsiveness are at the top of many organizations’ concerns with regard to their data platforms. Online transactional systems – large web applications in particular – must respond to end users in milliseconds if they are to be successful. In the relational world, as an application’s dataset size grows, JOIN pains begin to manifest themselves, and performance deteriorates. Using index-free adjacency, a graph database turns complex JOINs into fast graph traversals – which are constant time operations – thereby mainta...