Skip to content
Related Articles

Related Articles

Improve Article

Difference between Traditional Processing and Stream Processing

  • Last Updated : 21 Jun, 2020

Traditional Processing

Traditional Processing is a kind of offline processing that involves simple computations on data when it is being processed. It mainly stores raw data that is not so much aggregated and structured. It has various operations like pre-processing and extraction of data which is performed on the raw data. The data goes through a chain of algorithms in order to be processed.

Stream Processing

Stream Processing is a kind of real-time processing where certain operations are performed on the data at the time it is being created. The operations can be performed in a serial or parallel manner. It also allows the users to query the continuous data stream and to determine the conditions in a small amount of time when data is received. Stream processing also performs data analytics, data transformation, and data aggregation by various methods. It stores data in a more aggregated and structured way.

Difference between Traditional processing and Stream Processing

S.NO.Traditional ProcessingStream Processing
1.It involves simple computations on data when data is being processed.It involves complex operations on multiple input stream when data is being processed.
2.In Traditional processing, the processing time is unlimited and cannot be predicted.In Stream processing, the processing time is limited.
3.It stores data in raw form.It stores data in a more summarized form.
4.It gives accurate results.It gives more approximate results.
5.In Traditional processing, memory usage is not limited.In Stream processing, the memory usage is limited.
6.It is a form of offline processing.It is a form of real-time processing.

Attention reader! Don’t stop learning now. Get hold of all the important CS Theory concepts for SDE interviews with the CS Theory Course at a student-friendly price and become industry ready.


My Personal Notes arrow_drop_up
Recommended Articles
Page :