Journal of Advances in Developmental Research

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Streaming at Scale: Benchmarking Data Platforms for the Era of Continuous Analytics

Author(s) Sainath Muvva
Country United States
Abstract In response to the explosive growth of data generation and the pressing need for real-time analytics, this study conducts an in-depth examination of leading streaming data platforms, including Apache Kafka, Apache Flink, Apache Pulsar, and Apache Spark Streaming. Our analysis goes beyond surface-level comparisons, evaluating each technology across five critical dimensions: data velocity, response time, adaptability, fault resilience, and operational simplicity. By offering nuanced insights into how each platform's strengths align with various operational scenarios and business objectives, we aim to equip decision-makers with the knowledge needed to select the most appropriate streaming solution for their unique needs. This paper not only highlights performance metrics but also explores the broader implications of each technology on an organization's data architecture, considering factors such as integration capabilities, ecosystem support, and long-term scalability to provide a comprehensive view of the streaming data technology landscape.
Keywords Data Streaming, Real-Time Processing, Apache Kafka, Apache Flink, Apache Pulsar, Apache Spark Streaming, Performance Evaluation
Published In Volume 13, Issue 1, January-June 2022
Published On 2022-05-11
Cite This Streaming at Scale: Benchmarking Data Platforms for the Era of Continuous Analytics - Sainath Muvva - IJAIDR Volume 13, Issue 1, January-June 2022. DOI 10.5281/zenodo.14598835
DOI https://doi.org/10.5281/zenodo.14598835
Short DOI https://doi.org/g8xpkf
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