In this article we look at crucial points of difference between the SQL Server database solutions and the flagship Oracle database
Almost all successful businesses today are the ones which have always maintained a proper database with sufficient transactions, client, employee and all other details. There are multiple relational database management software in the market today like MySQL, Ms SQL, Oracle, Sybase etc. But the most used are undoubtedly Oracle and Ms SQL Server. Both of them are equally good in their performance and it is difficult to say which one is better. So today we will give you the key points of both MS SQL Server and Oracle, so that you can compare and decide which one is best suited for you.
- Language – The primary difference between Oracle and MS SQL Server is the language used, both use Structured Query Language (SQL), in different versions. MS SQL uses, Transact SQL or T- SQL as the query language, where as Oracle makes use of Procedural Language/SQL or commonly known as PL/SQL. Both of these languages are nothing but different dialects of SQL with different syntax and capabilities. The difference comes from how these languages handle stored procedures, variables and built- in commands. T-SQL cannot group procedures into packages, whereas PL/SQL can. T- SQL is simple and easy to use; PL/SQL is more powerful and complex.
- Transaction Control – This forms another major point of difference between the two relational database management software. MS SQL Server understands transaction as a group of tasks to be treated as a single unit. Therefore if a SQL query requires modifying records, all of them will be modified together and any failure will lead to none of the records being modified. In such a scenario MS SQL will begin executing each command individually, and any kind of error encountered along will not be rolled back. Usually a transaction begins with the command of ‘Begin Transaction’ and a ‘Commit’ command is used to end the transaction. This leads to the transfer of the changed data on the disk. Oracle treats every new database connection as new transaction and along with executed queries and all issued commands, changes occur only in memory. Changes are committed only after the ‘Commit’ command is issued. A new transaction begins only after the ‘Commit’ command is issued, and the process starts off again.
- Organizing Database Objects – The organization of database differs for both Oracle and MS SQL Server. SQL Server uses database name to organize everything from objects and procedures. All users have a login, which in-turn has access to certain databases and objects. It also supports a private, unshared disk file placed on the server for each database. Schemas are used to group database objects in Oracle; all schemas share all database objects, and form a subset collection. Although schemas are shared, users can still be limited to access only certain schemas and tables, with the help of roles and permissions.
As stated initially, it is difficult to point out which one of the two is better relational database management software; it depends on the need of the user, which one of the two will suit them more. However it is typically believed that Ms SQL Server makes way more sense for mid sized firms due to price advantage it offers in a variety of scenarios.
Using SQL Server in your company – consider a recovery tool to deal with emergencies
While the SQL Server application comes with a set of very formidable backup and business continuity options, not all organizations can implement them in the right manner. Implementing RAID5 or above system is at times beyond the capacity of small to midsized firms who form a respectable section of SQL Server users. Such companies should consider investing in a powerful sql recovery tool like DataNumen SQL Recovery. In the event of a SQL Crash corrupting the underlying data file, this sophisticated recovery application can swing into action and bring back all records. Moreover the tool can be used to bring back any records that you may have deleted by chance.
Alan Chen is President & Chairman of DataNumen, Inc., which is the world leader in data recovery technologies, including access recovery and sql recovery software products. For more information visit https://www.datanumen.com/