DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Real-time Data Processing Frameworks: A Comparative Performance Evaluation of Storm, Storm Trident and Spark Streaming" report to their offering.
Real-time analytics, which is the ability to perform analysis and produce insights over live data in near real-time is gaining wider interest as the benefits of greater agility through real-time insights and decision making for businesses is becoming apparent. In response, a new breed of technologies and tools is becoming available that support real-time data processing in a fault tolerant, scalable and cost effective way which is helping to drive its adoption.
This report provides a state-of-the-art review of popular real-time data stream processing technologies along with the results of a comparative evaluation of three commonly used open source stream processing platforms namely Storm, Storm Trident and Spark Streaming on a continuous metrics computation task.
Key Topics Covered:
1. Executive Summary
2. Introduction
3. Platforms and Configuration
3.1 Stream Processing Platforms
3.1.1 Spark Streaming
3.1.2 Storm
3.1.3 Storm Trident
3.2 Statistical Metric Computation
3.2.1 Sliding Windows
3.2.2 Metrics
3.3 Datasets
3.4 Hardware and Software configuration
4. Evaluations
4.1 Correctness
4.2 Spark Streaming Checkpoint Interval
4.3 Sliding Interval
4.4 Number of Keys
4.5 Window Size
4.6 Performance using Identical Configurations
4.7 Performance using the Best Configurations
4.8 Continuous Data Streams
5. Conclusions
For more information about this report visit http://www.researchandmarkets.com/research/shvdx7/realtime_data
