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Nadar Saraswati college of arts & science
. RDBMS
Oracle & Microsoft SQL server
. B.kohila
. M.sc information technology
Microsoft SQL Server and Oracle Compared
 This chapter contains information comparing the Microsoft SQL Server database
and the Oracle database. It contains the following sections:
 Schema Migration
 Data Types
 Data Storage Concepts
 Data Manipulation Language
Schema Migration
 The schema contains the definitions of the tables, views, indexes, users,
constraints, stored procedures, triggers, and other database-specific objects. Most
relational databases work with similar objects.
 The schema migration topics discussed here include the following:
 Schema Object Similarities
 Schema Object Names
 Table Design Considerations
Schema Object Similarities
 There are many similarities between schema objects in Oracle and schema
objects in Microsoft SQL Server. However, some schema objects differ between
these databases, as shown in the following table:
Schema Object Names
 Reserved words differ between Oracle and Microsoft SQL Server. Many Oracle
reserved words are valid object or column names in Microsoft SQL Server. For
example, DATE is a reserved word in Oracle, but it is not a reserved word in
Microsoft SQL Server. Therefore, no column is allowed to have the name DATE in
Oracle, but a column can be named DATE in Microsoft SQL Server. Use of
reserved words as schema object names makes it impossible to use the same
names across databases.
Table Design Considerations
 This section discusses the many table design issues that you need to consider
when converting Microsoft SQL Server databases to Oracle. These issues are
discussed under the following headings:
 Data Types
 Entity Integrity Constraints
 Referential Integrity Constraints
 Unique Key Constraints
 Check Constraints
Data Types
 This section describes conversion considerations for the following data types:
 DATETIME Data Types
 IMAGE and TEXT Data Types (Binary Large Objects)
 Microsoft SQL Server User-Defined Data Types
 DATETIME Data Types
 The date/time precision in Microsoft SQL Server is 1/300th of a second. Oracle has
the data type TIMESTAMP which has a precision of 1/100000000th of a second.
Oracle also has a DATE data type that stores date and time values accurate to one
second. SQL Developer has a default mapping to the DATE data type.
 For applications that require finer date/time precision than seconds, the
TIMESTAMP data type should be selected for the data type mapping of date data
types in Microsoft SQL Server. The databases store point-in-time values for DATE
and TIME data types.

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oracle

  • 1. Nadar Saraswati college of arts & science . RDBMS Oracle & Microsoft SQL server . B.kohila . M.sc information technology
  • 2. Microsoft SQL Server and Oracle Compared  This chapter contains information comparing the Microsoft SQL Server database and the Oracle database. It contains the following sections:  Schema Migration  Data Types  Data Storage Concepts  Data Manipulation Language
  • 3. Schema Migration  The schema contains the definitions of the tables, views, indexes, users, constraints, stored procedures, triggers, and other database-specific objects. Most relational databases work with similar objects.  The schema migration topics discussed here include the following:  Schema Object Similarities  Schema Object Names  Table Design Considerations
  • 4. Schema Object Similarities  There are many similarities between schema objects in Oracle and schema objects in Microsoft SQL Server. However, some schema objects differ between these databases, as shown in the following table:
  • 5. Schema Object Names  Reserved words differ between Oracle and Microsoft SQL Server. Many Oracle reserved words are valid object or column names in Microsoft SQL Server. For example, DATE is a reserved word in Oracle, but it is not a reserved word in Microsoft SQL Server. Therefore, no column is allowed to have the name DATE in Oracle, but a column can be named DATE in Microsoft SQL Server. Use of reserved words as schema object names makes it impossible to use the same names across databases.
  • 6. Table Design Considerations  This section discusses the many table design issues that you need to consider when converting Microsoft SQL Server databases to Oracle. These issues are discussed under the following headings:  Data Types  Entity Integrity Constraints  Referential Integrity Constraints  Unique Key Constraints  Check Constraints
  • 7. Data Types  This section describes conversion considerations for the following data types:  DATETIME Data Types  IMAGE and TEXT Data Types (Binary Large Objects)  Microsoft SQL Server User-Defined Data Types
  • 8.  DATETIME Data Types  The date/time precision in Microsoft SQL Server is 1/300th of a second. Oracle has the data type TIMESTAMP which has a precision of 1/100000000th of a second. Oracle also has a DATE data type that stores date and time values accurate to one second. SQL Developer has a default mapping to the DATE data type.  For applications that require finer date/time precision than seconds, the TIMESTAMP data type should be selected for the data type mapping of date data types in Microsoft SQL Server. The databases store point-in-time values for DATE and TIME data types.