Everyone excepts their data the second its updated. Large corporations and Fortune 500 companies use real time data for predicting the consumer trends that drive the revenue growth. Real time analytics are becoming more popular and feasible for companies of all sizes, as the cloud provides various tools that can be quickly implemented.
AWS Kinesis
It’s a managed streaming service on Amazon Web Services (AWS). It provides flexibility to users to spend less time managing the infrastructure components and services instead focus more on development and implementation layers. Kinesis can ingest videos, IoT telemetry data, application logs, and other streaming data. Companies like Netflix used AWS Kinesis to process multiple terabytes of log data every day.
Kafka
The Apache Kafka framework is a distributed publish-subscribe messaging system that receives data streams from disparate source systems. It is widely used for tracking service calls and IoT sensor data. LinkedIn uses for tracking operational metrics and activity data.
Apache Storm
Storm is popular distributed real time computation system that works for big data with a simple processing model to carry out powerful abstractions. Data refreshes in few milliseconds on micro batch processing, which makes it a reliable data processor. Reliability is a factor that helps Storm stand out as a real time computation data processing system. It is based on the phenomenon of “fail fast, auto restart”. This allows it to restart the process without distributing the entire operation in case a node fails. This technology is user friendly and robust, which has made it popular among small and medium enterprises along with large sizes organizations.
Keep tuned to my next post release, I would cover the topic related to Real Time Data Analytics : Companies who use Real Time Data. Come back and review this information on 2.7.2022.
Reference
Seattle Data Guy (Feb 2021). 7 Real Time Data Streaming Tools. https://betterprogramming.pub/7-real-time-data-streaming-tools-68907be5ac4b