diff --git a/Cargo.toml b/Cargo.toml
index 0c0ef3c1..6f08d9f3 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -33,7 +33,7 @@ semver = "1.0"
 [dev-dependencies]
 tempfile = "3.8"
 # Only used in the example
-arrow2 = "0.18"
+arrow = { version = "50.0", default-features = false, features = ["ffi"] }
 
 [workspace]
 members = ["gdal-sys"]
diff --git a/examples/read_ogr_arrow.rs b/examples/read_ogr_arrow.rs
index 42596a7d..7a125453 100644
--- a/examples/read_ogr_arrow.rs
+++ b/examples/read_ogr_arrow.rs
@@ -1,35 +1,36 @@
-//! Example of reading from OGR to a stream of Arrow arrays
+//! Example of reading from OGR to a stream of Arrow array batches
 //!
-//! As of this writing (Feb 2023), there are two competing low-level Arrow libraries in Rust.
-//! [`arrow-rs`](https://github.com/apache/arrow-rs) is the "official" one but uses unsafe
-//! transmutes. [`arrow2`](https://github.com/jorgecarleitao/arrow2) was written to be a fully safe
-//! implementation of Arrow.
+//! As of this writing (Jan 2024), there are two competing low-level Arrow libraries in Rust.
+//! [`arrow`](https://github.com/apache/arrow-rs) is the "official" one, while
+//! [`arrow2`](https://github.com/jorgecarleitao/arrow2) is a less active alternative.
 //!
 //! Each library implements the same Arrow memory standard, and each implements the
 //! ArrowArrayStream interface, so each can integrate with the GDAL `read_arrow_stream` API.
 //!
-//! This example will use `arrow2` but the process should be similar using `arrow-rs`.
+//! This example will use `arrow`, but the process is
+//! [similar](https://github.com/georust/gdal/blob/87497bf28509ea1b66b8e64000bd6b33fde0f31b/examples/read_ogr_arrow.rs#L23)
+//! when using `arrow2`.
 
 #[cfg(any(major_ge_4, all(major_is_3, minor_ge_6)))]
 fn run() -> gdal::errors::Result<()> {
-    use arrow2::array::{BinaryArray, StructArray};
-    use arrow2::datatypes::DataType;
+    use arrow::array::{Array as _, BinaryArray};
+    use arrow::ffi_stream::{ArrowArrayStreamReader, FFI_ArrowArrayStream};
     use gdal::cpl::CslStringList;
     use gdal::vector::*;
     use gdal::Dataset;
     use std::path::Path;
 
     // Open a dataset and access a layer
-    let dataset_a = Dataset::open(Path::new("fixtures/roads.geojson"))?;
-    let mut layer_a = dataset_a.layer(0)?;
+    let dataset = Dataset::open(Path::new("fixtures/roads.geojson"))?;
+    let mut layer = dataset.layer(0)?;
 
     // Instantiate an `ArrowArrayStream` for OGR to write into
-    let mut output_stream = Box::new(arrow2::ffi::ArrowArrayStream::empty());
+    let mut output_stream = FFI_ArrowArrayStream::empty();
 
-    // Access the unboxed pointer
-    let output_stream_ptr = &mut *output_stream as *mut arrow2::ffi::ArrowArrayStream;
+    // Take a pointer to it
+    let output_stream_ptr = &mut output_stream as *mut FFI_ArrowArrayStream;
 
-    // gdal includes its own copy of the ArrowArrayStream struct definition. These are guaranteed
+    // GDAL includes its own copy of the ArrowArrayStream struct definition. These are guaranteed
     // to be the same across implementations, but we need to manually cast between the two for Rust
     // to allow it.
     let gdal_pointer: *mut gdal::ArrowArrayStream = output_stream_ptr.cast();
@@ -38,50 +39,24 @@ fn run() -> gdal::errors::Result<()> {
     options.set_name_value("INCLUDE_FID", "NO")?;
 
     // Read the layer's data into our provisioned pointer
-    unsafe { layer_a.read_arrow_stream(gdal_pointer, &options).unwrap() }
+    unsafe { layer.read_arrow_stream(gdal_pointer, &options)? }
 
-    // The rest of this example is arrow2-specific.
+    // The rest of this example is specific to the `arrow` crate.
 
-    // `arrow2` has a helper class `ArrowArrayStreamReader` to assist with iterating over the raw
+    // `arrow` has a helper class `ArrowArrayStreamReader` to assist with iterating over the raw
     // batches
-    let mut arrow_stream_reader =
-        unsafe { arrow2::ffi::ArrowArrayStreamReader::try_new(output_stream).unwrap() };
+    let arrow_stream_reader = ArrowArrayStreamReader::try_new(output_stream).unwrap();
 
     // Iterate over the stream until it's finished
-    // arrow_stream_reader.next() will return None when the stream has no more data
-    while let Some(maybe_array) = unsafe { arrow_stream_reader.next() } {
+    for maybe_array in arrow_stream_reader {
         // Access the contained array
         let top_level_array = maybe_array.unwrap();
 
-        // The top-level array is a single logical "struct" array which includes all columns of the
-        // dataset inside it.
-        assert!(
-            matches!(top_level_array.data_type(), DataType::Struct(..)),
-            "Top-level arrays from OGR are expected to be of struct type"
-        );
-
-        // Downcast from the Box<dyn Array> to a concrete StructArray
-        let struct_array = top_level_array
-            .as_any()
-            .downcast_ref::<StructArray>()
-            .unwrap();
-
-        // Access the underlying column metadata and data
-        // Clones are cheap because they do not copy the underlying data
-        let (fields, columns, _validity) = struct_array.clone().into_data();
-
-        // Find the index of the geometry column
-        let geom_column_index = fields
-            .iter()
-            .position(|field| field.name == "wkb_geometry")
-            .unwrap();
-
-        // Pick that column and downcast to a BinaryArray
-        let geom_column = &columns[geom_column_index];
-        let binary_array = geom_column
-            .as_any()
-            .downcast_ref::<BinaryArray<i32>>()
-            .unwrap();
+        // Find the geometry column
+        let geom_column = top_level_array.column_by_name("wkb_geometry").unwrap();
+
+        // Downcast it to a `BinaryArray`
+        let binary_array = geom_column.as_any().downcast_ref::<BinaryArray>().unwrap();
 
         // Access the first row as WKB
         let _wkb_buffer = binary_array.value(0);
@@ -97,6 +72,6 @@ fn run() -> gdal::errors::Result<()> {
     Ok(())
 }
 
-fn main() {
-    run().unwrap();
+fn main() -> gdal::errors::Result<()> {
+    run()
 }