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Showing content from https://docs.databricks.com/aws/en/sql/language-manual/sql-ref-datatypes below:

Data types | Databricks Documentation

Data types

Applies to: Databricks SQL Databricks Runtime

For rules governing how conflicts between data types are resolved, see SQL data type rules.

Supported data typesâ

Databricks supports the following data types:

important

Delta Lake does not support the VOID type.

Data type classificationâ

Data types are grouped into the following classes:

Integral numeric typesâ

Integral numeric types represent whole numbers:

Exact numeric typesâ

Exact numeric types represent base-10 numbers:

Binary floating point typesâ

Binary floating point types use exponents and a binary representation to cover a large range of numbers:

FLOAT
DOUBLE

Numeric typesâ

Numeric types represent all numeric data types:

Date-time typesâ

Date-time types represent date and time components:

Geospatial typesâ

Geospatial types represent geometric or geographic objects:

Simple typesâ

Simple types are types defined by holding singleton values:

Complex typesâ

Complex types are composed of multiple components of complex or simple types:

Language mappingsâ

Applies to: Databricks Runtime

Scala
Java
Python
R

Spark SQL data types are defined in the package org.apache.spark.sql.types. You access them by importing the package:

Scala

import org.apache.spark.sql.types._

Spark SQL data types are defined in the package org.apache.spark.sql.types. To access or create a data type, use factory methods provided in org.apache.spark.sql.types.DataTypes.

Spark SQL data types are defined in the package pyspark.sql.types. You access them by importing the package:

Python

from pyspark.sql.types import *

(1) Numbers are converted to the domain at runtime. Make sure that numbers are within range.

(2) The optional value defaults to TRUE.

(3) Interval types

YearMonthIntervalType([startField,] endField): Represents a year-month interval which is made up of a contiguous subset of the following fields:

startField is the leftmost field, and endField is the rightmost field of the type. Valid values of startField and endField are 0(MONTH) and 1(YEAR).
DayTimeIntervalType([startField,] endField): Represents a day-time interval which is made up of a contiguous subset of the following fields:

startField is the leftmost field, and endField is the rightmost field of the type. Valid values of startField and endField are 0(DAY), 1(HOUR), 2(MINUTE), 3(SECOND).

(4) StructType

StructType(fields) Represents values with the structure described by a sequence, list, or array of StructFields (fields). Two fields with the same name are not allowed.
StructField(name, dataType, nullable) Represents a field in a StructType. The name of a field is indicated by name. The data type of a field is indicated by dataType. nullable indicates if values of these fields can have null values. This is the default.