Let us take a closer look at SQL server NTEXT Data Type and its syntax in detail. At Bobcares, our SQL Server Support service will answer all of your queries with a detailed note.

SQL server NTEXT Data Type

The SQL NTEXT Data type is configured to Variable-length Unicode data with a maximum string length of 2^30 – 1 (1,073,741,823) bytes. Accordingly, the Storage size in bytes has two times the string length that is entered. The ISO synonym for NTEXT is known as national text.

Additionally, a Unicode data type will automatically store the values without having to specify the length. As mentioned earlier the storage size is as double the size that is specified in the column. However, there are no subcategories for NTEXT.

The SQL server NTEXT data type will always store its data on a separate database page.

• NTEXT is a variable-length data type that helps to store long Unicode character strings.

• NTEXT can hold up to large 2,147,483,647 bytes of data.

•  As per the data usage and length of the character string conserved, the actual storage is allocated.

In a few cases, we might need to store files, and images in the database. As a result, datatype Binary is helpful here to store such data. Consequently, It has subtypes that help to store the related data type according to the size of storage. We can further use the variable or fixed length depending on the requirements of users.

• binary: Binary is a fixed-length data type that stores pictures, files, and other media, and the storage size depends on the length specified.

• varbinary: Subsequently stores variable-length data and the storage depends upon the number of bytes specified.

• varbinary(max): Variable can store up to 2GB and this helps in media where it requires a large capacity.

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Conclusion

To sum up, The SQL server NTEXT is configured with a maximum string length variable and has a storage size of two times the byte length. As an outcome, it is helpful to store huge pictures, files, and media. On top of SQL Server has a DATALENGTH() function and this helps on all data types in your table.