OLAP & OLTP diff

 

Online Analytical Processing (OLAP)

Online Analytical Processing (OLAP) consists of a type of software tool that is 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. 

 

OLAP Examples

Any type of Data Warehouse System is an OLAP system. The uses of the OLAP System are described below.

Spotify analyzed songs  

Netflix movie recommendation system.

Benefits of OLAP Services

OLAP services help in keeping consistency and calculation.

We can store planning, analysis, and budgeting for business   

OLAP services provide a multidimensional view of data, which helps in applying operations on data in various ways.

Drawbacks of OLAP Services

OLAP Services requires professionals to handle the data because of its complex modeling procedure. 

OLAP services are expensive to implement and maintain in cases when datasets are large.

We can perform an analysis of data only after extraction and transformation of data 

 

Online Transaction Processing (OLTP)

  OLTP administers the day-to-day transactions of an organization. 

OLTP Examples

An example considered for OLTP System is ATM Center  

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.

OLTP vs OLAP

OLTP vs OLAP

Benefits of OLTP Services

OLTP services allow users to read, write and delete data  

OLTP services help in increasing users and transactions which helps in real-time access to data. 

Drawbacks of OLTP Services

OLTP has limited analysis capability  

OLTP has high maintenance costs because of frequent maintenance, backups, and recovery.

OLTP Services get hampered when  there is a hardware failure  

Difference between OLAP and OLTP

Category	OLAP (Online Analytical Processing)	OLTP (Online Transaction Processing)
Definition	It is well-known as an online database query management system.	It is well-known as an online database modifying system.
Data source	Consists of historical data from various Databases.	Consists of only operational current data.
Method used	It makes use of a data warehouse.	It makes use of a standard database management system (DBMS).
Application	It is subject-oriented. Used for Data Mining, Analytics, Decisions making, etc.	It is application-oriented. Used for business tasks.
Normalized	In an OLAP database, tables are not normalized.	In an OLTP database, tables are normalized (3NF).
Usage of data	The data is used in planning, problem-solving, and decision-making.	The data is used to perform day-to-day fundamental operations.
Task	It provides a multi-dimensional view of different business tasks.	It reveals a snapshot of present business tasks.
Purpose	It serves the purpose to extract information for analysis and decision-making.	It serves the purpose to Insert, Update, and Delete information from the database.
Volume of data	A large amount of data is stored typically in TB, PB	The size of the data is relatively small as the historical data is archived in MB, and GB.
Queries	Relatively slow as the amount of data involved is large. Queries may take hours.	Very Fast as the queries operate on 5% of the data.
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.
Backup and Recovery	It only needs backup from time to time as compared to OLTP.	The backup and recovery process is maintained rigorously
Processing time	The processing of complex queries can take a lengthy time.	It is comparatively fast in processing because of simple and straightforward queries.
Types of users	This data is generally managed by CEO, MD, and GM.	This data is managed by clerksForex and managers.
Operations	Only read and rarely write operations.	Both read and write operations.
Updates	With lengthy, scheduled batch operations, data is refreshed on a regular basis.	The user initiates data updates, which are brief and quick.
Nature of audience	The process is focused on the customer.	The process is focused on the market.
Database Design	Design with a focus on the subject.	Design that is focused on the application.
Productivity	Improves the efficiency of business analysts.	Enhances the user’s productivity.

S.No.	OLAP	OLTP
1	OLAP stands for Online analytical processing.	OLTP stands for online transaction processing.
2	It includes software tools that help in analyzing data mainly for business decisions.	It helps in managing online database modification.
3	It utilizes the data warehouse.	It utilizes traditional approaches of DBMS.
4	It is popular as an online database query management system.	It is popular as an online database modifying system.
5	OLAP employs the data warehouse.	OLTP employs traditional DBMS.
6	It holds old data from various Databases.	It holds current operational data.
7	Here the tables are not normalized.	Here, the tables are normalized.
8	It allows only read and hardly write operations.	It allows both read and write operations.
9	Here, the complex queries are involved.	Here, the queries are simple.