Clustrix delivers the world's scale-out SQL database perfectly suited for high-value, high-performance OLTP
applications that run on-premise or in the cloud.
By implementing Oracle Exadata, ABL was able to optimize its core banking hardware infrastructure and enhance its OLTP
This upgradation will optimize ABL`s core banking hardware infrastructure and enhance its OLTP
processing resulting in reduced processing time for COB tasks such as daily transaction, calculating and posting interests, rolling the bank date forward and production of various reports.
From our evaluation at that point in time, we found Oracle Exadata was the only solution that could help us achieve the OLTP
and COB performance required.
Table 1: Difference between the OLTP
and OLAP CONTENT OLTP
Source of data Operational data; OLTPs
are the original source of the data.
In recent years, there has been an increasing demand for high-volume data analysis that is fast and available on demand, creating a need for a single database system that can handle OLTP
and high-volume data analysis simultaneously.
Due to the high number of transactions in the Online Transaction Processing (OLTP
) system, processing for critical close of business was taking more time, affecting its important reporting processes.
With a new emphasis on analysis, the older core data collection systems gained the designation Online Transaction Processing (OLTP
Company Provides Open Access to Further Extend the Postgres Ecosystem TransLattice, the geographically distributed data management company for enterprise, cloud and hybrid environments, today announced the availability of the release candidate for Postgres-XL, an open source, clustered, parallel SQL database designed for both OLTP
and Big Data analytics.
warehousing, reporting and online transaction processing (OLTP