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OLTP and OLAP | Difference Between OLTP and OLAP

OLTP and OLAP

    • OLTP and OLAP are used in business applications .Both are the online processing systems. OLTP is a transactional processing while OLAP is an analytical processing system.
    • OLTP captures, stores, and processes data from transactions in real time.
    • OLAP uses complex queries to analyze aggregated historical data from OLTP systems.
OLTV Vs OLAP

OLTP (Online Transactional Processing):

    • OLTP is used in Traditional databases.
    • It is characterised by a large number of short on-line transactions, Includes insertions, updates, and deletions .
    • OLTP system captures and maintains transaction data in a database. For example Banking transactions , super market cash system, on line shopping etc.
    • Most business applications are OLTP systems
    • This type of transaction ensures that operations performed by different users do not interfere with each other.
    • It stores the records of the last few days or a week to successfully perform the transactions hence it maintains historical data as well.
    • OLTP ensures the availability in the cart and concurrency in case a large number of users are accessing the same website at the same time.

OLAP (On Line Analytical Processing):

    • OLAP applies complex queries to large amounts of historical data, aggregated from OLTP databases and other sources, for data mining, analytics, and business intelligence projects.
    • This systems work with very large amounts of data.
    • These systems have a smaller group of users than OLTP systems
    • OLAP applications are widely used by Data Mining techniques.
    • It is characterised by relatively low volume of transactions.
    • OLAP queries consumes lot of resources.
    • OLAP integrates data from different processes for eg combine sales , inventory and purchasing data.
OLTP and OLAP

Difference between OLTP and OLAP

On Line Transaction Processing (OLTP)

On Line Analytical Processing (OLAP)

OLTP systems handle transactional data,

OLAP systems handle aggregated historical data.

Uses data warehouse as it can access multidimensional data.

Uses traditional 3NF database.

OLTP systems are small in size (up to 10 GB),

OLAP systems can be massive, running into several petabytes of data.

OLTP systems deal with simple queries

OLAP systems deal with complex data analysis algorithms.

OLTP systems deal with read as well as write operations,

OLAP systems handle only read operations.

Response time is almost a minute

Response time in milliseconds

Allows hundreds of users

Allows almost thousands of users

It is Customer oriented

It is Market Oriented


Back-up is required only time-to-time

Backups are regular as well as incremental


















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