Difference between Batch Processing and Real Time Processing System

Last Updated : 24 Sep, 2024

Batch Processing and Real-Time Processing Systems are the methods of handling and processing data. Batch Processing System performed the jobs in batches. It means jobs are divided into groups, and then executed in the groups to enhance the processing speed. In Real-time processing, execute the program or evaluate the data Immediately. It is recommended where immediate responses are required like in trading, space missions, etc.

What is the Batch Processing?

A Batch Processing system is an efficient way of processing large volumes of data. where a group of transactions is collected over a period of time. Data is collected, entered, processed, and then the batch results are produced. The main function of a batch processing system is to automatically keep executing the jobs in a batch. This is the important task of a batch processing system i.e. performed by the 'Batch Monitor' residing in the low end of main memory.

Advantages of Batch Processing

Cost-effective
Process large amounts of data

Disadvantages of Batch Processing

Delayed in processing
No allow for immediate action during processing

What is the Real Time Processing ?

Real Time Processing systems are very fast and quick respondent systems. These systems are used in an environment where a large number of events (generally external) must be accepted and processed in a short time. Real time processing requires quick transaction and characterized by supplying immediate response. For example, defense application systems like as RADAR, etc.

Tools for Real-Time Processing

Apache Spark
Apache Kafka
Google Cloud Dataflow

Advantages of Real Time Processing

Handle constant flow of data and provide immediate output
Processing times is very less (measured in microseconds)

Disadvantages of Real Time Processing

Complex and costly process
Need High computation Power

Differences Between Batch processing and Real Time Processing System

Batch Processing System	Real Time Processing System
In batch processing processor only needs to busy when work is assigned to it.	In real time processing processor needs to very responsive and active all the time.
Jobs with similar requirements are batched together and run through the computer as a group.	In this system, events mostly external to computer system are accepted and processed within certain deadlines.
Completion time is not critical in batch processing.	Time to complete the task is very critical in real-time
It provides most economical and simplest processing method for business applications.	Complex and costly processing requires unique hardware and software to handle complex operating system programs.
Normal computer specification can also work with batch processing.	Real-time processing needs high computer architecture and high hardware specification.
In this processing there is no time limit.	It has to handle a process within the specified time limit otherwise the system fails.
It is measurement oriented.	It is action or event oriented.
In this system sorting is performed before processing.	No sorting is required.
In this system data is collected for defined period of time and is processed in batches.	Supports random data input at random time.
Examples of batch processing are transactions of credit cards, generation of bills, processing of input and output in the operating system etc.	Examples of real-time processing are bank ATM transactions, customer services, radar system, weather forecasts, temperature measurement etc.
Process large volumes of data in batches, typically overnight or on a schedule.	Process data as it arrives, in real-time or near-real-time.
Higher latency, as data is processed in batches after a delay.	Lower latency, as data is processed immediately or with minimal delay.
Lower cost per unit of data, as processing is done in batches.	Higher cost per unit of data, as processing must be done in real-time or near-real-time.
Ideal for tasks such as nightly data backups, report generation, and large-scale data analysis.	Ideal for tasks such as fraud detection, sensor data analysis, and real-time monitoring.

Conclusion

Batch processing is used where data is collected and processed at a specific time. During this processing user can not interact with system and not give immediate action. Real time processing is used where immediate processing is require so that achieve responds without delay. At the end conclusion is that batch processing is useful where immediate action is not require and real time processing is used when achieve immediate processing is needed for applications like real-time analytics.

Difference between Batch Processing System and Online Processing System

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