What is the primary difference between OLTP and OLAP?

The major difference between OLTP and OLAP is that OLTP is used for online transaction processing and OLAP is used for online analytical processing. Both are used for processing but the OLTP uses the parent source and OLAP uses OLTP for data accessing.

What is the difference between OLTP and OLAP based on the speed of the processing?

As per the speed of the processing, difference between OLTP and OLAP is that OLTP is a quicker process since it processes the simpler queries whereas OLAP uses complex queries and hence takes more time to process.

What is an OLTP in DBMS?

In DBMS, OLTP is a online platform used for transactional processing. The multiple simple transactions are processed with this system. This system is accessible 24*7*365.

What is an OLAP in DBMS?

OLAP is a processing system used for Online Analytics. The OLP is used for various purposes such as data mining, financial analysis, etc. Data is provided from the data warehouse. It is safer process as while processing the transactional data is not changed.

What are 5 differences between OLTP and OLAP?

The 5 major differences between the OLAP and OLTP systems is given below: OLTP uses data from parent source unlike OLAP which uses data from OLTP. Backups in OLTP is frequently taken and in OLAP it is not take very frequently. In OLAP, data warehouse is used and in OLTP, DBMS is used. The OLAP is subject oriented and OLTP is market oriented. Speed of OLTP is quicker than OLAP.

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Difference Between OLTP and OLAP

By BYJU'S Exam Prep

Updated on: September 25th, 2023

Difference Between OLTP and OLAP in DBMS: DBMS uses various processing systems where OLTP and OLAP are one of the processing systems used in DBMS. Both the systems are used to perform specific tasks. The major difference between OLAP and OLTP is that in OLTP the transaction is based on the data from the parent source whereas OLAP uses the data from OLTP, using it as the source for data. Check OLAP vs OLTP.

Here, we will first see what is OLTP and OLAP in DBMS thereafter we will explore the difference between OLTP and OLAP in DBMS in detail based on the various factors such as data source, uses, queries, speed of processing, and a lot more.

Table of content

1. Difference Between OLTP and OLAP in DBMS
2. What is OLTP in DBMS?
3. What is OLAP in DBMS?

Difference Between OLTP and OLAP in DBMS

The database management system uses OLTP and OLAP for data processing. Let us now see the difference between OLAP and OLTP in the table provided below:

Key Differences between OLTP and OLAP in DBMS

OLTP	OLAP
This is an Online Transactional Processing system.	This is an Online Analytical Processing system.
Uses original data from the parent source.	Uses data from OLTP sources.
Standard queries are used in this.	Queries that are complex can be accessed.
The speed of the processing is quick.	The speed of the processing is slow as compared to the OLTP.
Backups are taken frequently.	Backups are not taken frequently.
Uses DBMS for processing.	The data warehouse is used.
This process is market-oriented.	This process is subject-oriented.

What is OLTP in DBMS?

OLTP in DBMS stands for Online Transactional Processing. The online transaction in the DBMS is processed using OLTP. Short transactions of a large number are processed by this. OLTP systems can be seen in various places such as ATMs, hotel reservation portals, etc.

OLTP system can easily process a huge number of transactions while maintaining data integrity. Access to the multi-user is also possible with OLTP. The OLTP systems can be accessed and are available 24*7*365 which is an essential benefit of this system. Candidates can also check Cardinality and entity set in DBMS.

What is OLAP in DBMS?

OLAP in DBMS stands for Online Analytical Processing. With the help of OLAP, high-speed analysis of multi-dimensional data can be done. The data mining can easily be done by the OLAP system. It is efficient in various places such as budgeting, financial analysis, sales forecasting, and a lot more.

The data used by the OLAP is provided from the data warehouse. Historical data can also be managed by the OLAP. The transactional data is not changed by the OLAP and primarily does data analysis rather than processing. Keys and acid properties in DBMS can also be referred to from here.

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