Hazelcast Vs. Ignite: Opportunities for Java Programmers

Bartkov, Maxim та Katkova, Tetiana та Kruglyk, Vladyslav S. та Murtaziev, Ernest G. та Kotova, Olha V. (2022) Hazelcast Vs. Ignite: Opportunities for Java Programmers. IJCSNS International Journal of Computer Science and Network Security., 22 (2). с. 406-412.

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Резюме

Storing large amounts of data has always been a big problem from the beginning of computing history. Big Data has made huge advancements in improving business processes by finding the customers’ needs using prediction models based on web and social media search. The main purpose of big data stream processing frameworks is to allow programmers to directly query the continuous stream without dealing with the lower-level mechanisms. In other words, programmers write the code to process streams using these runtime libraries (also called Stream Processing Engines). This is achieved by taking large volumes of data and analyzing them using Big Data frameworks. Streaming platforms are an emerging technology that deals with continuous streams of data. There are several streaming platforms of Big Data freely available on the Internet. However, selecting the most appropriate one is not easy for programmers. In this paper, we present a detailed description of two of the state-of-the-art and most popular streaming frameworks: Apache Ignite and Hazelcast. In addition, the performance of these frameworks is compared using selected attributes. Different types of databases are used in common to store the data. To process the data in real- time continuously, data streaming technologies are developed. With the development of today's large-scale distributed applications handling tons of data, these databases are not viable. Consequently, Big Data is introduced to store, process, and analyze data at a fast speed and also to deal with big users and data growth day by day

Тип елементу :	Стаття
Теми:	L Освіта > L Освіта (Загальне) L Освіта > LB Теорія і практика освіти L Освіта > LB Теорія і практика освіти > LB2300 Вища освіта Q Наука > Q Наука (Загальне) Q Наука > QA Математика Q Наука > QA Математика > QA75 Електронні комп'ютери. Інформатика Q Наука > QA Математика > QA76 Комп'ютерне програмне забезпечення
Підрозділи:	Факультет інформатики, математики та економіки > Кафедра інформатики і кібернетики
Користувач, що депонує:	Кафедра інформатики і кібернетики
Дата внесення:	30 Груд 2023 02:14
Останні зміни:	30 Груд 2023 02:14
URI:	http://eprints.mdpu.org.ua/id/eprint/13367

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