diff --git a/spark-cassandra-connector/src/it/scala/com/datastax/spark/connector/rdd/CassandraRDDSpec.scala b/spark-cassandra-connector/src/it/scala/com/datastax/spark/connector/rdd/CassandraRDDSpec.scala
index 3d60dc02c..56df29d16 100644
--- a/spark-cassandra-connector/src/it/scala/com/datastax/spark/connector/rdd/CassandraRDDSpec.scala
+++ b/spark-cassandra-connector/src/it/scala/com/datastax/spark/connector/rdd/CassandraRDDSpec.scala
@@ -314,6 +314,14 @@ class CassandraRDDSpec extends SparkCassandraITFlatSpecBase {
     )
   }
 
+  val customIntConverter = new TypeConverter[java.lang.Integer] {
+    def targetTypeTag = typeTag[java.lang.Integer]
+
+    def convertPF = {
+      case x: String => x.toInt + 1
+    }
+  }
+
   "A CassandraRDD" should "allow to read a Cassandra table as Array of CassandraRow" in {
     val result = sc.cassandraTable(ks, "key_value").collect()
     result should have length 3
@@ -1490,4 +1498,107 @@ class CassandraRDDSpec extends SparkCassandraITFlatSpecBase {
         1L: java.lang.Long)
     }
   }
+
+  it should "allow for converting fields to map types by user-defined TypeConverter" in {
+    conn.withSessionDo { session =>
+      val customConverter = new TypeConverter[Map[Int, Short]] {
+        def targetTypeTag = typeTag[Map[Int, Short]]
+
+        def convertPF = {
+          case x: String => Map(x.toInt -> x.toShort)
+        }
+      }
+      TypeConverter.registerConverter(customConverter)
+      session.execute(s"create table $ks.test_table_converter (id text primary key, test_map map<int, smallint>)")
+      sc.parallelize(Seq(("id", "5"))).saveToCassandra(ks, "test_table_converter")
+      val res = sc.cassandraTable(ks, "test_table_converter").collect
+      res.size should be (1)
+      res.head.getString(0) should be ("id")
+      res.head.getMap[Int, Int](1) should be (Map(5 -> 5))
+      TypeConverter.unregisterConverter(customConverter)
+      session.execute(s"""DROP TABLE IF EXISTS $ks.test_table_converter""")
+    }
+  }
+
+  it should "use the default map converters when no other converter exists" in {
+    conn.withSessionDo { session =>
+      TypeConverter.registerConverter(customIntConverter)
+      session.execute(s"create table $ks.test_table_converter2 (id text primary key, test_map map<int, int>)")
+      sc.parallelize(Seq(("id", Map("5" -> "5")))).saveToCassandra(ks, "test_table_converter2")
+      val res = sc.cassandraTable(ks, "test_table_converter2").collect
+      res.size should be (1)
+      res.head.getString(0) should be ("id")
+      res.head.getMap[Int, Int](1) should be (Map(6 -> 6))
+      TypeConverter.unregisterConverter(customIntConverter)
+      session.execute(s"""DROP TABLE IF EXISTS $ks.test_table_converter2""")
+    }
+  }
+
+  it should "allow for converting fields to list types by user-defined TypeConverter" in {
+    conn.withSessionDo { session =>
+      val customConverter = new TypeConverter[Vector[Int]] {
+        def targetTypeTag = typeTag[Vector[Int]]
+        def convertPF = {
+          case x: String => Vector(x.toInt, x.toInt)
+        }
+      }
+      TypeConverter.registerConverter(customConverter)
+      session.execute(s"create table $ks.test_table_converter3 (id text primary key, test_list list<int>)")
+      sc.parallelize(Seq(("id", "7"))).saveToCassandra(ks, "test_table_converter3")
+      val res = sc.cassandraTable(ks, "test_table_converter3").collect
+      res.size should be (1)
+      res.head.getString(0) should be ("id")
+      res.head.getList[Int](1) should be (Vector(7, 7))
+      TypeConverter.unregisterConverter(customConverter)
+      session.execute(s"""DROP TABLE IF EXISTS $ks.test_table_converter3""")
+    }
+  }
+
+  it should "use the default list converters when no other converter exists" in {
+    conn.withSessionDo { session =>
+      TypeConverter.registerConverter(customIntConverter)
+      session.execute(s"create table $ks.test_table_converter4 (id text primary key, test_list list<int>)")
+      sc.parallelize(Seq(("id", Vector("5")))).saveToCassandra(ks, "test_table_converter4")
+      val res = sc.cassandraTable(ks, "test_table_converter4").collect
+      res.size should be (1)
+      res.head.getString(0) should be ("id")
+      res.head.getList[Int](1) should be (Vector(6))
+      TypeConverter.unregisterConverter(customIntConverter)
+      session.execute(s"""DROP TABLE IF EXISTS $ks.test_table_converter4""")
+    }
+  }
+
+  it should "allow for converting fields to set types by user-defined TypeConverter" in {
+    conn.withSessionDo { session =>
+      val customConverter = new TypeConverter[Set[Int]] {
+        def targetTypeTag = typeTag[Set[Int]]
+        def convertPF = {
+          case x: String => Set(x.toInt, x.toInt + 1)
+        }
+      }
+      TypeConverter.registerConverter(customConverter)
+      session.execute(s"create table $ks.test_table_converter5 (id text primary key, test_set set<int>)")
+      sc.parallelize(Seq(("id", "7"))).saveToCassandra(ks, "test_table_converter5")
+      val res = sc.cassandraTable(ks, "test_table_converter5").collect
+      res.size should be (1)
+      res.head.getString(0) should be ("id")
+      res.head.getSet[Int](1) should be (Set(7, 8))
+      TypeConverter.unregisterConverter(customConverter)
+      session.execute(s"""DROP TABLE IF EXISTS $ks.test_table_converter5""")
+    }
+  }
+
+  it should "use the default set converters when no other converter exists" in {
+    conn.withSessionDo { session =>
+      TypeConverter.registerConverter(customIntConverter)
+      session.execute(s"create table $ks.test_table_converter6 (id text primary key, test_list set<int>)")
+      sc.parallelize(Seq(("id", Set("5")))).saveToCassandra(ks, "test_table_converter6")
+      val res = sc.cassandraTable(ks, "test_table_converter6").collect
+      res.size should be (1)
+      res.head.getString(0) should be ("id")
+      res.head.getSet[Int](1) should be (Set(6))
+      TypeConverter.unregisterConverter(customIntConverter)
+      session.execute(s"""DROP TABLE IF EXISTS $ks.test_table_converter6""")
+    }
+  }
 }
diff --git a/spark-cassandra-connector/src/main/scala/com/datastax/spark/connector/types/CollectionColumnType.scala b/spark-cassandra-connector/src/main/scala/com/datastax/spark/connector/types/CollectionColumnType.scala
index 7cd7f847d..2bbc323c1 100644
--- a/spark-cassandra-connector/src/main/scala/com/datastax/spark/connector/types/CollectionColumnType.scala
+++ b/spark-cassandra-connector/src/main/scala/com/datastax/spark/connector/types/CollectionColumnType.scala
@@ -2,53 +2,54 @@ package com.datastax.spark.connector.types
 
 import scala.language.existentials
 import scala.reflect.runtime.universe._
+import scala.reflect.ClassTag
+import com.datastax.spark.connector.types.TypeConverter.{MapConverter, VectorConverter, SetConverter}
+
 
 trait CollectionColumnType[T] extends ColumnType[T] {
   def isCollection = true
 }
 
 case class ListType[T](elemType: ColumnType[T]) extends CollectionColumnType[Vector[T]] {
-
-  @transient
-  lazy val scalaTypeTag = {
-    implicit val elemTypeTag = elemType.scalaTypeTag
-    implicitly[TypeTag[Vector[T]]]
-  }
-
+  @transient implicit lazy val elemTypeTag = elemType.scalaTypeTag
+  @transient lazy val scalaTypeTag = implicitly[TypeTag[Vector[T]]]
   def cqlTypeName = s"list<${elemType.cqlTypeName}>"
 
   override def converterToCassandra: TypeConverter[_ <: AnyRef] =
-    new TypeConverter.OptionToNullConverter(TypeConverter.listConverter(elemType.converterToCassandra))
+    TypeConverter.forType[Vector[T]] match {
+      case tc: VectorConverter[_] =>
+          new TypeConverter.OptionToNullConverter(TypeConverter.listConverter(elemType.converterToCassandra))
+      case tc => tc
+    }
 }
 
 case class SetType[T](elemType: ColumnType[T]) extends CollectionColumnType[Set[T]] {
-
-  @transient
-  lazy val scalaTypeTag = {
-    implicit val elemTypeTag = elemType.scalaTypeTag
-    implicitly[TypeTag[Set[T]]]
-  }
-
+  @transient implicit lazy val elemTypeTag = elemType.scalaTypeTag
+  @transient lazy val scalaTypeTag = implicitly[TypeTag[Set[T]]]
   def cqlTypeName = s"set<${elemType.cqlTypeName}>"
 
   override def converterToCassandra: TypeConverter[_ <: AnyRef] =
-    new TypeConverter.OptionToNullConverter(TypeConverter.setConverter(elemType.converterToCassandra))
+    TypeConverter.forType[Set[T]] match {
+      case tc: SetConverter[_] =>
+        new TypeConverter.OptionToNullConverter(
+          TypeConverter.setConverter(elemType.converterToCassandra))
+      case tc => tc
+    }
 }
 
 case class MapType[K, V](keyType: ColumnType[K], valueType: ColumnType[V])
   extends CollectionColumnType[Map[K, V]] {
-
-  @transient
-  lazy val scalaTypeTag = {
-    implicit val keyTypeTag = keyType.scalaTypeTag
-    implicit val valueTypeTag = valueType.scalaTypeTag
-    implicitly[TypeTag[Map[K, V]]]
-  }
-
+  @transient implicit lazy val keyTypeTag = keyType.scalaTypeTag
+  @transient implicit lazy val valueTypeTag = valueType.scalaTypeTag
+  @transient lazy val scalaTypeTag = implicitly[TypeTag[Map[K, V]]]
   def cqlTypeName = s"map<${keyType.cqlTypeName}, ${valueType.cqlTypeName}>"
 
   override def converterToCassandra: TypeConverter[_ <: AnyRef] =
-    new TypeConverter.OptionToNullConverter(
-      TypeConverter.mapConverter(keyType.converterToCassandra, valueType.converterToCassandra))
+    TypeConverter.forType[Map[K, V]] match {
+      case tc: MapConverter[_, _] =>
+        new TypeConverter.OptionToNullConverter(
+          TypeConverter.mapConverter(keyType.converterToCassandra, valueType.converterToCassandra))
+      case tc => tc
+    }
 }