Database management system for mobile crowdsourcing applications


 The evaluation of mobile crowdsourcing activities and reports require a viable large volume data. These data are gathered in real-time from number paid or unpaid volunteers over period. A high quality smartphones devices is pivotal to the accuracy validity results. Therefore, there need for robust scalable database structure that can effectively manage store volumes collected various without compromising integrity An in-depth review designs select most suitable will meet needs real-time, volunteer handling system presented. non-relational was proposed mobile- end database: Google Cloud Firestore specifically due its support client implementation, this choice also makes integration end-users cloud-hosted relatively easier with all services being part Platform; although it not as popular some other services. Separate comparative reviews Database Management System (DBMS) performance demonstrated MongoDB (a database) performed better when reading datasets performing full-text queries, while MySQL (relational) Cassandra (non-relational) much insertion. BigQuery an appropriate warehouse solution. It provide continuity direct Application Programming Interface (API) migration BigQuery, local server. Also provides machine learning analytics.