Abstract
This research involves the development of a web model to transform data from an ecology dataset, specifically climate data, into a non-relational database format (NoSQL) in the form of a real-time document-based database. It consists of MongoDB nodes and CouchDB, comparing the speed of reading data from the database to select the bestperforming non-relational database for managing data values in the database. It is in a document-based format. It tests by loading the first 100 data sets, followed by 200, 300, 400, 500, 600, 800, and 1000 data sets. The experimental results show that the MongoDB server model has the best performance with an average value of 2,190,691.
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