OLTP Vs. Olap

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Jackson Roy

Organizations require several data processing systems depending on their specific business needs. Using a typical processing system for reading, writing, or deleting data will not meet all of your business’s needs. Data-driven companies typically utilize online transaction processing or web analytics depending on demand (OLAP).

What is OLTP?

OLTP Vs. Olap – What’s the Difference?

Online Transaction Processing (OLTP) is a type of storage and processing that involves the execution and storing of many micro, concurrent transactions. Money transfers, ATMs, e-commerce, texting, and flight records use OLTP.


e-commerce, internet banking, ATM transactions, and hotel reservations are just a few examples.


  • You can easily regulate the day-to-day operations of a company.
  • It expands the company’s consumer base by simplifying individual processes.
  • Solves the challenge of managing daily transactions, simplifies individual processes and arduous duties, and ensures high transaction speeds.


  • Multiple people have access to the system and the capacity to modify it, leading to issues.
  • Because numerous users can access and alter data simultaneously, these systems can grow sophisticated.

Read More: HDD vs SSD – What is the Difference?

What is OLAP?

OLTP Vs. Olap – What’s the Difference?

Online analytical processing is data storage and processing that stores past data for analysis. OLAP is a querying technique that focuses on records data in the data storage places such as Data Warehouses and Data Lakes. OLTP systems are frequently the source of these records.


  • The main advantage of OLAP over OLTP is that it provides a single platform for all corporate analytics needs.
  • Consistency and accuracy of data and calculations; businesses can plan, budget, forecast, and analyze using a single multipurpose platform.
  • In OLAP, the data and calculations are pretty consistent.
  • High security since it is simple to set limitations on users and save sensitive data; allows complicated searches to be run.


  • In this system, traditional techniques necessitate lengthy modeling procedures. As a result, IT specialists are responsible for upkeep.
  • It may not always be possible to collaborate across departments.


financial statements from year to year, planning, forecasting, trend analysis, and so on.

Read More: Synchronous vs. Asynchronous – What is the Difference

Key Differences between OLAP and OLTP

It has a very fast processing speed. Normally its speed is slow but it depends on the amount of data.
Your data is  as well organized Your data is not as well organized, but what matters most is the ability to traverse through the data’s dimensions.
Capable of processing a high number of minor internet transactions. Can handle data in a large amount
It uses DBMS It uses data warehouses.


we reviewed the OLTP and OLAP systems in this OLTP vs. OLAP article. In a comparison table, we looked at the differences between OLTP and OLAP. In conclusion, OLTP and OLAP are critical components of the data warehouse domain.

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