How to connect Azure SQL Database with Azure Databricks

Using SQL Server authentication and the Spark connector try the following code:

val config = Config(Map(
  "url"            -> "kkk-server.database.windows.net:1433",
  "databaseName"   -> "MyDatabase",
  "dbTable"        -> "dbo.Clients",
  "user"           -> "login",
  "password"       -> "xxxxxxxx",
  "connectTimeout" -> "5", //seconds
  "queryTimeout"   -> "5"  //seconds
))

Using Active Directory Authentication you can try code below:

import com.microsoft.azure.sqldb.spark.config.Config
import com.microsoft.azure.sqldb.spark.connect._

val config = Config(Map(
  "url"            -> "kkk-server.database.windows.net:1433",
  "databaseName"   -> "MyDatabase",
  "dbTable"        -> "dbo.Clients",
  "user"           -> "AD-account",
  "password"       -> "xxxxxxxx",
  "connectTimeout" -> "5", //seconds
  "queryTimeout"   -> "5"  //seconds
))

val collection = spark.read.sqlDB(config)
collection.show()

If you are interested in AD authentication using a token, please visit this article.

If you are using Python and Azure Databricks, try below code with JDBC:

jdbcHostname = "xxxxxxx.database.windows.net"
jdbcDatabase = "yyyyyy"
jdbcPort = 1433
#jdbcUrl = "jdbc:sqlserver://{0}:{1};database={2};user={3};password={4}".format(jdbcHostname, jdbcPort, jdbcDatabase, username, password)

jdbcUrl = "jdbc:sqlserver://{0}:{1};database={2}".format(jdbcHostname, jdbcPort, jdbcDatabase)
connectionProperties = {
  "user" : jdbcUsername,
  "password" : jdbcPassword,
  "driver" : "com.microsoft.sqlserver.jdbc.SQLServerDriver"
}

pushdown_query = "(INSERT INTO test (a, b) VALUES ('val_a', 'val_b')) insert_test" 

This tutorial may be useful to connect to a database using JDBC.