diff --git a/NEWS.md b/NEWS.md
index 9bf8cf3..b7e533f 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,6 +1,7 @@
 # implyr (development version)
 
 * Fixed bugs in table creation (#47, @karoliskascenas)
+* Allow user to set `copy_to()` size limit with option `implyr.copy_to_size_limit` (#49, @karoliskascenas)
 * Added more SQL translations
 * Fixed a DBI identifier quoting problem causing errors with dbplyr 2.0.0 (#48)
 
diff --git a/R/src_impala.R b/R/src_impala.R
index 6d7f8af..7ac5a87 100644
--- a/R/src_impala.R
+++ b/R/src_impala.R
@@ -275,9 +275,12 @@ tbl.src_impala <- function(src, from, ...) {
 #' @name copy_to
 #' @description
 #' \code{copy_to} inserts the contents of a local data frame into a new Impala
-#' table. \code{copy_to} currently only supports very small data frames (1000 or
-#' fewer row/column positions). It uses the SQL \code{INSERT ... VALUES()}
-#' technique, which is not suitable for loading large amounts of data.
+#' table. \code{copy_to} is intended to be used only with very small data
+#' frames. It uses the SQL \code{INSERT ... VALUES()} technique, which is not
+#' suitable for loading large amounts of data. By default, this function will
+#' throw an error if you attempt to copy a data frame with more than 1000
+#' row/column positions. You can increase this limit at your own risk by setting
+#' the \link{option} \code{implyr.copy_to_size_limit} to a higher number.
 #'
 #' This package does not provide tools for loading larger amounts of local data
 #' into Impala tables. This is because Impala can query data stored in several
@@ -337,13 +340,12 @@ copy_to.src_impala <-
            file_format = NULL,
            ...) {
   # don't try to insert large data frames with INSERT ... VALUES()
-  if (prod(dim(df)) > 1e3L) {
-    # TBD: consider whether to make this limit configurable, possibly using
-    #  options with the pkgconfig package
+  if (prod(dim(df)) > getOption("implyr.copy_to_size_limit", 1e3L)) {
     stop(
       "Data frame ",
       name,
-      " is too large. copy_to currently only supports very small data frames.",
+      " is too large. ",
+      "implyr::copy_to() is only for use with very small data frames.",
       call. = FALSE
     )
   }
diff --git a/man/copy_to.Rd b/man/copy_to.Rd
index ec22e6e..385b10f 100644
--- a/man/copy_to.Rd
+++ b/man/copy_to.Rd
@@ -5,11 +5,23 @@
 \alias{copy_to.src_impala}
 \title{Copy a (very small) local data frame to Impala}
 \usage{
-\method{copy_to}{src_impala}(dest, df, name = deparse(substitute(df)),
-  overwrite = FALSE, types = NULL, temporary = TRUE,
-  unique_indexes = NULL, indexes = NULL, analyze = TRUE,
-  external = FALSE, force = FALSE, field_terminator = NULL,
-  line_terminator = NULL, file_format = NULL, ...)
+\method{copy_to}{src_impala}(
+  dest,
+  df,
+  name = deparse(substitute(df)),
+  overwrite = FALSE,
+  types = NULL,
+  temporary = TRUE,
+  unique_indexes = NULL,
+  indexes = NULL,
+  analyze = TRUE,
+  external = FALSE,
+  force = FALSE,
+  field_terminator = NULL,
+  line_terminator = NULL,
+  file_format = NULL,
+  ...
+)
 }
 \arguments{
 \item{dest}{an object with class with class \code{src_impala}}
@@ -51,9 +63,12 @@ An object with class \code{tbl_impala}, \code{tbl_sql},
 }
 \description{
 \code{copy_to} inserts the contents of a local data frame into a new Impala
-table. \code{copy_to} currently only supports very small data frames (1000 or
-fewer row/column positions). It uses the SQL \code{INSERT ... VALUES()}
-technique, which is not suitable for loading large amounts of data.
+table. \code{copy_to} is intended to be used only with very small data
+frames. It uses the SQL \code{INSERT ... VALUES()} technique, which is not
+suitable for loading large amounts of data. By default, this function will
+throw an error if you attempt to copy a data frame with more than 1000
+row/column positions. You can increase this limit at your own risk by setting
+the \link{option} \code{implyr.copy_to_size_limit} to a higher number.
 
 This package does not provide tools for loading larger amounts of local data
 into Impala tables. This is because Impala can query data stored in several