AWS, Cloud Computing

3 Mins Read

Streaming Data in Real-Time with Amazon Kinesis


A managed, scalable cloud-based solution called Amazon Kinesis enables real-time processing of streaming massive amounts of data per second.

It is made for real-time applications and enables developers to scale up and down applications hosted on Amazon EC2 instances to handle data from various sources.

It gathers, stores, and processes information from data sources like social media feeds and event logs. Amazon Kinesis delivers the data to various users at once after processing it.

How does it work?

Amazon Kinesis efficiently processes and analyses streaming data at any size as a fully managed service. With Amazon Kinesis, you can ingest real-time data for ML, analytics, and other applications, including video, audio, website clickstreams, etc.

These are the core services of Amazon Kinesis:



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How is the data streamed?


  • Data Sources: Streaming data is gathered from various places, including social media and web apps. This data is sent to Kinesis Data Streams or Kinesis Data Firehose.
  • Kinesis Data Stream: Kinesis Data Stream helps you to gather, store, and process large streams of data records in real time. Businesses may ingest real-time data, including video, audio, and website clickstreams, for machine learning, analytics, and other applications with Kinesis Data Streams. It gives enterprises the capacity to manage enormous amounts of streaming data by enabling the processing of millions of data events per second.
  • Kinesis Data Firehose: Kinesis Data Firehose is a fully-managed ETL (extract, transform, and load) service, making it easy to load streaming data into data stores and analytics tools. Businesses can use Kinesis Data Firehose to gather and process streaming data from many sources, including social media feeds and event logs, and then transport the data to Amazon S3 or Amazon Redshift for additional analysis, visualization, or reporting. Businesses can handle even the largest data sets thanks to Kinesis Data Firehose’s automated scaling to handle any quantity of streaming data.
  • Kinesis Data Analytics: Kinesis Data Analytics enables you to query and analyze real-time streaming data using SQL. Businesses can quickly analyze and visualize real-time data from various sources, including social media feeds, website clickstreams, and event logs, with the help of Kinesis Data Analytics. It enables real-time data processing and analysis, enabling organizations to act swiftly and decisively.
  • Data Destination: The processed data can be stored in stores, such as Amazon S3 or Amazon Redshift, for further analysis, visualization, or reporting.

Real-life Examples

Amazon Kinesis is an ideal solution for businesses requiring real-time streaming data processing. It can be used in various applications, including social media analytics, fraud detection, clickstream analysis, and OTT platforms. Social media analytics is one area where Kinesis is particularly effective.

  • Social media analytics: Amazon Kinesis can capture and analyze real-time streaming data from social media sites like Twitter, Instagram, Facebook, etc., to gain knowledge about user behavior, sentiment, and trends.
  • Fraud detection: Amazon Kinesis may ingest real-time transaction data from financial institutions and flag suspicious behaviors in real-time using machine learning methods.
  • Clickstream analysis: Kinesis enables real-time analytics to enhance the user experience by capturing and processing clickstream data from websites and mobile apps.
  • OTT platforms: Large volumes of streaming data can be handled instantly via Kinesis. This makes it ideal for OTT platforms, which frequently have several users streaming videos at once. Depending on the volume of streaming data, Amazon Kinesis may scale up or down, enabling the platform to handle heavy traffic.


Amazon Kinesis is a powerful resource for processing and streaming real-time data on AWS. It provides businesses a reliable and efficient way to ingest, process, and analyze streaming data. With the help of well-known AWS services, you can quickly manage and analyze massive amounts of data. You may quickly find and fix problems with your data streams using its monitoring and troubleshooting features. In conclusion, Amazon Kinesis is a smart choice for companies and organizations looking to analyze their data in real time.

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1. Why should we use Amazon Kinesis?

ANS: – Amazon Kinesis is a managed real-time streaming service provided by Amazon Web Services (AWS) that allows you to collect, process, and analyze large amounts of data in real time. With the help of Amazon Kinesis, data streaming can be done very quickly.

2. What is Amazon Kinesis Agent?

ANS: – Sending data to Amazon Kinesis Streams or Kinesis Data Firehose requires the usage of the Amazon Kinesis Agent, a program that runs on servers or other data sources. The Amazon Kinesis Agent makes it easier to gather and distribute log data, metrics, or other forms of data to the AWS cloud from numerous sources.

WRITTEN BY Khushi Munjal

Khushi Munjal works as a Research Associate at CloudThat. She is pursuing her Bachelor's degree in Computer Science and is driven by a curiosity to explore the cloud's possibilities. Her fascination with cloud computing has inspired her to pursue a career in AWS Consulting. Khushi is committed to continuous learning and dedicates herself to staying updated with the ever-evolving AWS technologies and industry best practices. She is determined to significantly impact cloud computing and contribute to the success of businesses leveraging AWS services.



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