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Difference between OLAP and OLTP in DBMS

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  • Difficulty Level : Medium
  • Last Updated : 15 Nov, 2022
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Online Analytical Processing (OLAP): Online Analytical Processing consists of a type of software tools that are used for data analysis for business decisions. OLAP provides an environment to get insights from the database retrieved from multiple database systems at one time. Examples – Any type of Data warehouse system is an OLAP system. The uses of OLAP are as follows:

  • Spotify analyzed songs by users to come up with a personalized homepage of their songs and playlist.
  • Netflix movie recommendation system.

Online transaction processing (OLTP): Online transaction processing provides transaction-oriented applications in a 3-tier architecture. OLTP administers the day-to-day transactions of an organization. 

Examples: Uses of OLTP are as follows:

  • ATM center is an OLTP application.
  • OLTP handles the ACID properties during data transactions via the application.
  • It’s also used for Online banking, Online airline ticket booking, sending a text message, add a book to the shopping cart.

 

Comparisons of OLAP vs OLTP :

Sr. No.CategoryOLAP (Online analytical processing)OLTP (Online transaction processing)
1.DefinitionIt is well-known as an online database query management system.It is well-known as an online database modifying system.
2.Data sourceConsists of historical data from various Databases.Consists of only of operational current data. 
3.Method usedIt makes use of a data warehouse.It makes use of a standard database management system (DBMS).
4.ApplicationIt is subject-oriented. Used for Data Mining, Analytics, Decisions making, etc.It is application-oriented. Used for business tasks.
5.NormalizedIn an OLAP database, tables are not normalized.In an OLTP database, tables are normalized (3NF).
6.Usage of dataThe data is used in planning, problem-solving, and decision-making.The data is used to perform day-to-day fundamental operations.
7.TaskIt provides a multi-dimensional view of different business tasks.It reveals a snapshot of present business tasks.
8.PurposeIt serves the purpose to extract information for analysis and decision-making.It serves the purpose to Insert, Update, and Delete information from the database.
9.Volume of dataA large amount of data is stored typically in TB, PBThe size of the data is relatively small as the historical data is archived. For ex MB, GB
10.QueriesRelatively slow as the amount of data involved is large. Queries may take hours.Very Fast as the queries operate on 5% of the data.
11.Update The OLAP database is not often updated. As a result, data integrity is unaffected.The data integrity constraint must be maintained in an OLTP database.
12.Backup and RecoveryIt only need backup from time to time as compared to OLTP.Backup and recovery process is maintained rigorously
13.Processing timeThe processing of complex queries can take a lengthy time.It is comparatively fast in processing because of simple and straightforward queries.
14.Types of usersThis data is generally managed by CEO, MD, GM.This data is managed by clerks, managers.
15.OperationsOnly read and rarely write operation.Both read and write operations.
16.UpdatesWith lengthy, scheduled batch operations, data is refreshed on a regular basis.The user initiates data updates, which are brief and quick.
17.Nature of audienceProcess that is focused on the customer.   Process that is focused on the market. 
18.Database DesignDesign with a focus on the subject. Design that is focused on the application.
19.ProductivityImproves the efficiency of business analysts.Enhances the user’s productivity.
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