Optimizing data retrieval by using MongoDb with Elasticsearch Silvana Greca Anxhela Kosta Suela Maxhelaku Computer Science Dept. Computer Science Dept Computer Science Dept
[email protected] [email protected] [email protected] Keywords: Elasticsearch, MongoDb, Performance, Abstract Optimizing data, Agriculture More and more organizations are facing with massive volumes of new, 1. Introduction rapidly changing data types: structured, semi-structured, The amount of data that businesses can collect is really unstructured and polymorphic data. enormous and hence the volume of the data becomes a The performance for these critical factor in analyzing them. Business use different organizations is directly dependent on database to store data, but it can be difficult to choose the efficiency of data access, data the right DBMS, or NOSQ, so they based on processing, and data management. requirements related to the quality attributes Data is storing in one environment that Consistency, Scalability and Performance [Nilsson17]. is called database. One database Today on modern applications, most of developer should be able to cover all the use NOSQL technologies to provide superior organizations database needs. Storing, performance because NOSQL databases are built to indexing, filtering and returning data allow the insertion of data without a predefined on real-time, are four very important schema. There are many different NOSQL systems issues that affect directly at high which differ from each other and are develop for performance. But, how to get these different purposes. In Albania, the Ministry of features in one database? You can Agriculture, Rural Development has the necessary for optimize data by using MongoDb tracking and analyzing agricultural products data, but combined with Elasticsearch.