117
When working with databases, it’s essential to understand the different data types each database system supports, as they help define the kind of data that can be stored in each column of a table. Here’s a comparison of commonly used data types in MySQL, SQL Server, and MS Access.
1. Numeric Data Types
| Data Type |
MySQL |
SQL Server |
MS Access |
| Integer |
INT, SMALLINT, TINYINT, BIGINT |
INT, SMALLINT, TINYINT, BIGINT |
Byte, Integer, Long Integer |
| Decimal (fixed) |
DECIMAL(p, s), NUMERIC(p, s) |
DECIMAL(p, s), NUMERIC(p, s) |
Decimal, Single, Double |
| Floating-point |
FLOAT, DOUBLE |
FLOAT, REAL |
Single, Double |
| Boolean |
TINYINT (1) |
BIT |
Yes/No |
2. String Data Types
| Data Type |
MySQL |
SQL Server |
MS Access |
| Fixed-length text |
CHAR(n) |
CHAR(n) |
Text (up to 255 chars) |
| Variable-length text |
VARCHAR(n) |
VARCHAR(n), NVARCHAR(n) |
Text, Memo (for longer texts) |
| Long text |
TEXT, MEDIUMTEXT, LONGTEXT |
TEXT, NTEXT |
Memo (up to 65,536 chars) |
| Unicode text |
NCHAR(n), NVARCHAR(n) |
NCHAR(n), NVARCHAR(n) |
Text (Unicode compatible) |
3. Date and Time Data Types
| Data Type |
MySQL |
SQL Server |
MS Access |
| Date |
DATE |
DATE |
Date/Time |
| Time |
TIME |
TIME |
Date/Time (time portion only) |
| Date and time |
DATETIME, TIMESTAMP |
DATETIME, DATETIME2 |
Date/Time |
| Year |
YEAR |
Not available |
Not available |
4. Binary Data Types
| Data Type |
MySQL |
SQL Server |
MS Access |
| Binary |
BINARY, VARBINARY |
BINARY, VARBINARY |
OLE Object |
| Large binary objects |
BLOB, MEDIUMBLOB, LONGBLOB |
IMAGE |
OLE Object |
5. Miscellaneous Data Types
| Data Type |
MySQL |
SQL Server |
MS Access |
| JSON |
JSON |
JSON (SQL Server 2016+) |
Not available |
| XML |
Not available |
XML |
Not available |
| GUID |
Not available |
UNIQUEIDENTIFIER |
Replication ID |
| Enumeration |
ENUM |
Not available |
Not available |
Key Considerations
- MySQL has a unique ENUM data type for defining enumerated values, useful for predefined lists.
- SQL Server provides advanced types like XML and UNIQUEIDENTIFIER, which are not available in MySQL or MS Access.
- MS Access uses simpler types like Text, Memo, and OLE Object for storing different kinds of data but lacks support for types like JSON and ENUM.
By understanding the capabilities and limitations of each database system, you can make informed decisions about data types when designing your database schema.
