Monday, August 3, 2015


OLTP stands for On-line Transaction Processing. OLTP based systems (account, ticket booking, banking systems, money transfer system) are used to perform a large number of short transactions. Almost all of the database queries in OLTP system consist of commands insert, update, delete. Select queries are mainly designed to enable users to select data from different entities. The majority of query is known in advance at the design stage of the system. Thus, critical for OLTP system is the speed and reliability of the performance of short operations updating data.

We know that OLTP has also been used to refer to processing in which the system responds immediately to user requests. In OLTP databases, there are detailed and current data, and schema used to store transnational databases is the entity model.

OLAP stands for On-line Analytical Processing which was described by Edgar Codd in 1993. OLAP based systems are used for management decisions and these system known as Decision Support System (DSS). OLAP-applications operate with large amounts of data accumulated in the operational databases OLTP. Typical applications of OLAP include business reporting for sales, marketing, management reporting, business process management (BPM), budgeting and forecasting, financial reporting and similar areas.

As we know that OLAP is the most important component of business intelligence, which also encompasses relational database, report writing and data mining. 

Collaboration of OLTP and OLAP systems
Following work flow structure is capable to show the importance of the each system based application and how are they link with each -

Major differences between OLTP and  OLAP

OLTP System 
OLAP System 
Source of data
Operational data; OLTP databases are meant to be used to do many small transactions, and usually serve as a "Single Source Of Truth"
Consolidation data; OLAP data comes from the various OLTP Databases which is used for analytics, data mining, less queries but they are usually bigger (they operate on more data).
Purpose of data
To control and run fundamental business tasks, facilitate and manage transaction-oriented applications
To help with planning, problem solving, and decision support, report writing and data mining.
What the data
Reveals a snapshot of ongoing business processes, used to refer to processing in which the system responds immediately to user requests.
Multi-dimensional views of various kinds of business activities to help out the better decision making.
Inserts and Updates
Short and fast inserts and updates initiated by end users.
Periodic long-running batch jobs refresh the data by the help of ETLs processes.
Relatively standardized and simple queries Returning relatively few records which are not more than 2 years
Often complex queries involving aggregations which are based on the large volume of the data more than 2 years.
Processing Speed
Typically very fast and always hit the main databases. Provides primitive and highly detailed data.
Depends on the amount of data involved; batch data refreshes and complex queries may take many hours; query speed can be improved by creating indexes. Provides summarized and consolidated data.
Space Requirements
Can be relatively small if historical data is archived. Mostly Database size is from 100 MB to 100 GB.
Larger due to the existence of aggregation structures and history data; requires more indexes than OLTP. Database size is from 100 GB to 100 TB
Database Design
Highly normalized with many tables and provides high performance.
Highly flexible. Typically de-normalized with fewer tables; use of star and/or snowflake schemas.
Backup and Recovery
Backup religiously; operational data is critical to run the business, data loss is likely to entail significant monetary loss and legal liability
Instead of regular backups, some environments may consider simply reloading the OLTP data as a recovery method


  1. The last item is a simple to-utilize programming bundle that can be utilized even by non-mathematicians to adequately break down the information they have. data science course in pune

  2. I was blown out after viewing the article which you have shared over here. So I just wanted to express my opinion on Data Analytics, as this is best trending medium to promote or to circulate the updates, happenings, knowledge sharing.. Aspirants & professionals are keeping a close eye on Data analytics course in Mumbai to equip it as their primary skill.

  3. Attend The Data Science Courses in Bangalore From ExcelR. Practical Data Science Courses in Bangalore Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Courses in Bangalore.
    ExcelR Data Science Course Bangalore

  4. Such a very useful article. I have learn some new information.thanks for sharing.
    data scientist course in mumbai

  5. Well, The information which you posted here is very helpful & it is very useful for the needy like me.., Wonderful information you posted here. Thank you so much for helping me out to find the Data science course in mumbai
    Organisations and introducing reputed stalwarts in the industry dealing with data analyzing & assorting it in a structured and precise manner. Keep up the good work. Looking forward to view more from you.


  6. Excelr is providing emerging & trending technology training, such as for data science, Machine learning, Artificial Intelligence, AWS, Tableau, Digital Marketing. Excelr is standing as a leader in providing quality training on top demanding technologies in 2019. Excelr`s versatile training is making a huge difference all across the globe. Enable ?business analytics? skills in you, and the trainers who were delivering training on these are industry stalwarts. Get certification on "
    data science training institute in hyderabad
    and get trained with Excelr.

  7. Such a very useful Blog. Very interesting to read this article. I have learn some new information.thanks for sharing. know more about

  8. I feel very grateful that I read this. It is very helpful and very informative and I really learned a lot from it.
    Click here

  9. I feel very grateful that I read this. It is very helpful and very informative and I really learned a lot from it.
    ExcelR data analytics

  10. I am really enjoying reading your well written articles. It looks like you spend a lot of effort and time on your blog. I have bookmarked it and I am looking forward to reading new articles. Keep up the good work.
    ExcelR Data Analytics courses

  11. I really enjoy simply reading all of your weblogs. Simply wanted to inform you that you have people like me who appreciate your work. Definitely a great post. Hats off to you! The information that you have provided is very helpful.
    ExcelR data analytics courses

  12. Cool stuff you have and you keep overhaul every one of us.
    excelr data science

  13. Awesome..I read this post so nice and very imformative information...thanks for sharing
    Click here for data science course

  14. Cool stuff you have and you keep overhaul every one of us.
    excelr data science


  15. Great post i must say and thanks for the information. Education is definitely a sticky subject. However, is still among the leading topics of our time. I appreciate your post and look forward to more. click here to know Excelr PMP

  16. Excellent Blog! I would like to thank for the efforts you have made in writing this post. I am hoping the same best work from you in the future as well. I wanted to thank you for this websites! Thanks for sharing. Great websites!
    ExcelR data science course in mumbai


Popular Posts

Get Sponsored by Big Brands