SQL vs. Oracle
SQL vs. Oracle
Same to Oracle, Structured Query Language (SQL) is a special purpose designated programming language intended for utilization in managing data contained in relational databases. Despite the similarities, the two programming languages are different in a number of ways, which encompasses technical and application aspects. A conspicuous dissimilarity between the two programming languages is conceivable from their choices of operating system (OS) platforms. In regards to this statement, SQL is restricted to run on Microsoft Windows OSs unlike Oracle, which runs on nearly all types of OSs, Microsoft Windows OS included (Sanjay and Alan 98). Bearing in mind that Microsoft Windows OSS are prone to crashes, it follows that SQL is less advantageous for enterprise applications than Oracle. This is mainly informed by the truth that Oracle is significantly stable where any variant of Unix or Linux operating systems. The other prominent difference between SQL and Oracle presents itself in their scalability ability. For instance, whereas Oracle is scalable both vertically and horizontally, SQL is only scalable vertically. As if this is not enough, an SQL database-built system can only be scaled vertically when additional memory and central processing unit (CPU) are added to a solitary server hosting the system. Even with such adjustment, there is a limit to which the vertical scalability cannot proceed (Sanjay and Alan 107). Although adjusting host server CPU and memory, in addition to threshold restriction, also applies when scaling Oracle-built systems, a feature supported by Oracle known as Real Application Clusters (RAC), which also incorporates tiny servers acting as active-active clusters on a sole large database, help such system to achieve high scalability (Sai and Dzemal 376). Relatively, this achievement is higher than which can be realized when similar system is built using SQL. Moreover, great scalability can still be achieved with Oracle-based
Same to Oracle, Structured Query Language (SQL) is a special purpose designated programming language intended for utilization in managing data contained in relational databases. Despite the similarities, the two programming languages are different in a number of ways, which encompasses technical and application aspects. A conspicuous dissimilarity between the two programming languages is conceivable from their choices of operating system (OS) platforms. In regards to this statement, SQL is restricted to run on Microsoft Windows OSs unlike Oracle, which runs on nearly all types of OSs, Microsoft Windows OS included (Sanjay and Alan 98). Bearing in mind that Microsoft Windows OSS are prone to crashes, it follows that SQL is less advantageous for enterprise applications than Oracle. This is mainly informed by the truth that Oracle is significantly stable where any variant of Unix or Linux operating systems. The other prominent difference between SQL and Oracle presents itself in their scalability ability. For instance, whereas Oracle is scalable both vertically and horizontally, SQL is only scalable vertically. As if this is not enough, an SQL database-built system can only be scaled vertically when additional memory and central processing unit (CPU) are added to a solitary server hosting the system. Even with such adjustment, there is a limit to which the vertical scalability cannot proceed (Sanjay and Alan 107). Although adjusting host server CPU and memory, in addition to threshold restriction, also applies when scaling Oracle-built systems, a feature supported by Oracle known as Real Application Clusters (RAC), which also incorporates tiny servers acting as active-active clusters on a sole large database, help such system to achieve high scalability (Sai and Dzemal 376). Relatively, this achievement is higher than which can be realized when similar system is built using SQL. Moreover, great scalability can still be achieved with Oracle-based
Cited: Alapati, Sam. Expert Oracle Database 10g Administration. New York: Apress, 2005. Print. McLaughlin, Michael (2011). Oracle Database 11g & MySQL 5.6 Developer Handbook. New York: McGraw-Hill, 2011. Print. Oppel, Andy. Databases Demystified. San Francisco: McGraw-Hill Osborne Media, 2004. Print. Seema, Kedar . Database Management Systems. Shaniwar Peth: Technical Publications, 2009. Print. Sai Peck lee and Dzemal Zildzic. "Oracle Database Workload Performance Measurement and Tuning Toolkit." Issues in Informing Science and Information Technology 3 (2006): 372–381. Print. Sanjay, Mishra, and Alan Beaulieu. Mastering Oracle SQL. Massachusetts: O 'Reilly Media, Inc., 2002. Print.