MS SQL Server and Oracle are two of the effective relational database management systems (RDBMS). So MS SQL Server and Oracle and what? Which should be used? The following article Taimeinphi will help you compare MS SQL Server and Oracle to make the best choice for you.
Advances in technology have partially met the need to use online transactions for users. In particular, online shopping or any type of bill payment can mostly be done via the internet.
Gradually, users began to use relational databases (RDB) to collaborate using more data without having to rearrange data for different purposes.
Compare MS SQL Server and Oracle
To manage relational databases (RDB), database experts have created an exclusive data management solution for these relational databases, which is called the system. Relational database management (Relational Database Management Systems – RDBMS).
Some examples of relational database management systems – RDBMS like MS Access, Oracle, IBM DB2, MS SQL Server, Sybase and My SQL. It is one of the best RDBMS, meeting the needs of users.
What are MS SQL Server and Oracle? Which should be used?
Syntax and query language
Both MS SQL Server and Oracle use structured query language (Structured Query Language) to retrieve data from the respective databases. Use MS SQL Server T-SQL, ie Transact-SQL and Oracle use PL / SQL, ie Procedural SQL.
MS SQL Server is a product of Microsoft Corporation and is known for customer service through forums such as MSDN and Connect Website, where users can reach the customer service team easily when encountering any problems.
Even if users are stuck, they can easily contact a technician for help. Reverse customer support team Oracle Not much experience like MS SQL Server. In addition, Oracle has very few documents for users who want to self-study the program, and MS SQL Server has quite a lot of documents available.
Complexity of the syntax
The syntax used in MS SQL Server is relatively simple and easy to use. MS SQL Server allows packaging procedure, to some extent.
With Oracle, users can create packages by grouping procedures. The syntax is a bit more complicated but provides more efficient results.
MS SQL Server provides error messages in a predefined format. Oracle error messages are displayed more clearly and are easier to handle. But users need to be careful about identifying deadlocks because both MS SQL Server and Oracle are causing trouble for users in such cases.
MS SQL Server locks the entire record block used in a transaction and executes each command individually. Because the file is blocked and not allowed to be used by others, MS SQL Server is free to modify it before receiving the Commit command. Oracle never modifies the data until it receives a Commit command from the DBA, during a transaction.
In a transaction in MS SQL Server it is not allowed to roll back, but in Oracle is allowed.
The transaction was not successful
In the event of a transaction failure, MS SQL Server must reverse all operations performed for that transaction. This is because MS SQL Server has made changes by blocking records.
Oracle, by contrast, is not reversible as it is because all changes were made on the copy, not on the original.
What are MS SQL Server and Oracle? Which should be used?
Simultaneous access and timeout
On MS SQL Server, while writing is not allowed, it results in a long wait.
While the writing process is happening on Oracle, it also allows users to read old copies before updating. Therefore, Oracle has a shorter wait time but you are not allowed to write.
MS SQL Server can only run on a single platform, Windows. Due to lack of platform support, MS SQL Server is not suitable for businesses operating around the world using different operating systems.
Oracle can run on many different platforms like UNIX, Windows, MVS and VAX-VMS. It provides good platform support, so Oracle can be used in businesses using many different operating systems.
Page locking is a concept in MS SQL Server that is used when it needs multiple strings of a page to be edited. MS SQL Server locks pages of the same size for each modification, but untried strings are also locked for no good reason. So other users have to wait for the editing process to finish. Oracle, by contrast, does not lock the pages, but instead creates a copy during the content editing and modification process. Therefore, other users do not need to wait until the content editing process is completed.
Memory distribution for classification
Use MS SQL Server global memory allocation and cannot be changed by DBA when categorizing or caching for better performance. With this setting, user errors can be avoided. Oracle uses a dynamic memory allocation, so performance improves, but the user error rate is high when you “invade” the DB to improve its performance.
MS SGL Server has very few options for sorting tables with indexes. The reason is because MS SGL Server lacks Bitmap, indexes based on functions, and reverse keys. Oracle uses Bitmap, indexes based on functions and reverse keys, providing better options and better performance.
MS SQL Server does not allow the division of large tables, which makes data management difficult. However, when it comes to simplicity, MS SGL Server is in the first place. Oracle makes data management easier by enabling partitioning of large tables.
Optimization of queries in MS SQL Server is missing, but in Oracle it is possible.
Both allow Triggers, but in MS SQL Server mainly used After Triggers. In Oracle, both Before Triggers and After Triggers be used the same. The use of Triggers is required in real-time environments and this support for databases is more appropriate.
Link external files
MS SQL Server uses linked servers to read or write to external files. In contrast, Oracle uses Java to do that.
Both MS SQL Server and Oracle have an option to link such files, only the approach is different.
The simple and user-friendly interface is a great feature of MS SQL Server. It automatically generates statistical data and adjusts itself. In addition, with the large data source available, users can easily learn and self-study MS SQL Server. In contrast, the Oracle user interface is a bit more complicated.
When comparing MS SQL Server to Oracle: MS SQL Server is the best choice for smaller databases, because it will take a lot of time for larger sized databases. If you have a lot of time and can wait, you can choose MS SQL Server. If not, it is possible to choose Oracle because it supports a larger database.
Table comparing MS SQL Server and Oracle
|MS SQL Server
||Use PL / SQL
|Of Microsoft Corporation
||Of Oracle Corporation
|The syntax is simple and easy to understand
||The syntax is a bit more complicated
|Display error message in a predefined format
||Show error messages more clearly
|Transaction errors that require data to be modified back to the original before performing the write process
||The process is much simpler because changes are made to a copy
|The values change before receiving the Commit command
||The values are unchanged before receiving the Commit command
|Use page blocking and do not allow reading during page blocking
||Use a copy of the record during editing and allow reading of the original data during editing
|Roll Back is not allowed in a transaction
||Roll Back is allowed
|Good customer support
||The customer support is good but the technician is not experienced
|Only run on Windows platform
||Running on many different platforms
|Lock pages of the same size
||Lock size varies according to need
|Use Global memory allocation and less intrusive DBA. Therefore the user error rate is low
||Using Dynamic memory allocation and DBA penetration more. Therefore the user error rate is higher
|Do not use Bitmap, indexes based on functions and key reverse
||Using Bitmap, indexes are based on functions and reverse keys
|Query optimization is missing
||Use Star query optimization
|Enable triggers and use After triggers
||Use both After and Before triggers
|Use server links to read and write external files
|Simple user interface
||The interface is more complicated
|Suitable for small data
||Consistent with the big data
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