diff --git a/docs/snippets/INDEX.md b/docs/snippets/INDEX.md
index 54c37146d7148..7643fa07aa856 100644
--- a/docs/snippets/INDEX.md
+++ b/docs/snippets/INDEX.md
@@ -22,8 +22,8 @@ Use it to quickly find copy-pastable snippets of code for any Rerun feature you'
 | ------- | ------- | ----------- | ------ | ---- | --- |
 | **Query dataframes** | `dataframe_query` | Query and display the first 10 rows of a recording | [🐍](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/reference/dataframe_query.py) | [🦀](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/reference/dataframe_query.rs) |  |
 | **Query dataframes** | `dataframe_view_query` | Query and display the first 10 rows of a recording in a dataframe view | [🐍](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/reference/dataframe_view_query.py) |  |  |
-| **Send columnar data** | `any_batch_value_send_columns` | Use `AnyBatchValue` and `send_column` to send an entire column of custom data to Rerun | [🐍](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_batch_value_send_columns.py) | [🦀](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_batch_value_send_columns.rs) |  |
-| **Send columnar data** | `any_values_send_columns` | Use `AnyValues` and `send_column` to send entire columns of custom data to Rerun | [🐍](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_values_send_columns.py) | [🦀](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_values_send_columns.rs) |  |
+| **Send columnar data** | `any_batch_value_send_columns` | Use `AnyBatchValue` and `send_column` to send an entire column of custom data to Rerun | [🐍](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_batch_value_send_columns.py) | [🦀](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_batch_value_send_columns.rs) | [🌊](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_batch_value_send_columns.cpp) |
+| **Send columnar data** | `any_values_send_columns` | Use `AnyValues` and `send_column` to send entire columns of custom data to Rerun | [🐍](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_values_send_columns.py) | [🦀](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_values_send_columns.rs) | [🌊](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_values_send_columns.cpp) |
 | **Send columnar data** | `image_send_columns` | Send multiple images at once using `send_columns` | [🐍](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/image_send_columns.py) | [🦀](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/image_send_columns.rs) | [🌊](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/image_send_columns.cpp) |
 | **Send columnar data** | `points3d_send_columns` | Use the `send_columns` API to send several point clouds over time in a single call | [🐍](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/points3d_send_columns.py) | [🦀](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/points3d_send_columns.rs) | [🌊](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/points3d_send_columns.cpp) |
 | **Send columnar data** | `scalar_send_columns` | Use the `send_columns` API to send scalars over time in a single call | [🐍](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/scalar_send_columns.py) | [🦀](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/scalar_send_columns.rs) | [🌊](https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/scalar_send_columns.cpp) |
diff --git a/docs/snippets/all/archetypes/image_send_columns.cpp b/docs/snippets/all/archetypes/image_send_columns.cpp
index d7c6d40fde1b1..7653ad70ccbf4 100644
--- a/docs/snippets/all/archetypes/image_send_columns.cpp
+++ b/docs/snippets/all/archetypes/image_send_columns.cpp
@@ -44,7 +44,7 @@ int main() {
     // Send all images at once.
     rec.send_columns(
         "images",
-        rerun::TimeColumn::from_sequence_points("step", std::move(times)),
+        rerun::TimeColumn::from_sequence("step", std::move(times)),
         rerun::Image().with_many_buffer(std::move(image_data)).columns()
     );
 }
diff --git a/docs/snippets/all/archetypes/scalar_send_columns.cpp b/docs/snippets/all/archetypes/scalar_send_columns.cpp
index 1a748591f037d..a4765e21aa091 100644
--- a/docs/snippets/all/archetypes/scalar_send_columns.cpp
+++ b/docs/snippets/all/archetypes/scalar_send_columns.cpp
@@ -21,7 +21,7 @@ int main() {
     // Serialize to columns and send.
     rec.send_columns(
         "scalars",
-        rerun::TimeColumn::from_sequence_points("step", std::move(times)),
+        rerun::TimeColumn::from_sequence("step", std::move(times)),
         rerun::Scalar().with_many_scalar(std::move(scalar_data)).columns()
     );
 }
diff --git a/rerun_cpp/src/rerun/archetypes/scalar.hpp b/rerun_cpp/src/rerun/archetypes/scalar.hpp
index eed555eb6eda7..747f3613b2d41 100644
--- a/rerun_cpp/src/rerun/archetypes/scalar.hpp
+++ b/rerun_cpp/src/rerun/archetypes/scalar.hpp
@@ -73,7 +73,7 @@ namespace rerun::archetypes {
     ///     // Serialize to columns and send.
     ///     rec.send_columns(
     ///         "scalars",
-    ///         rerun::TimeColumn::from_sequence_points("step", std::move(times)),
+    ///         rerun::TimeColumn::from_sequence("step", std::move(times)),
     ///         rerun::Scalar().with_many_scalar(std::move(scalar_data)).columns()
     ///     );
     /// }
diff --git a/rerun_cpp/src/rerun/time_column.hpp b/rerun_cpp/src/rerun/time_column.hpp
index 111b66cbb5220..d16dfe7af6161 100644
--- a/rerun_cpp/src/rerun/time_column.hpp
+++ b/rerun_cpp/src/rerun/time_column.hpp
@@ -69,6 +69,9 @@ namespace rerun {
         /// Make sure the sorting status is correctly specified.
         /// \param sorting_status The sorting status of the sequence points.
         /// Already sorted time points may perform better.
+        ///
+        /// \deprecated Use `from_sequence` instead.
+        [[deprecated("Use `from_sequence` instead.")]]
         static TimeColumn from_sequence_points(
             std::string timeline_name, Collection<int64_t> sequence_points,
             SortingStatus sorting_status = SortingStatus::Unknown
@@ -80,6 +83,24 @@ namespace rerun {
             );
         }
 
+        /// Creates a time column from an array of sequence points.
+        ///
+        /// \param timeline_name The name of the timeline this column belongs to.
+        /// \param sequence_points The sequence points.
+        /// Make sure the sorting status is correctly specified.
+        /// \param sorting_status The sorting status of the sequence points.
+        /// Already sorted time points may perform better.
+        static TimeColumn from_sequence(
+            std::string timeline_name, Collection<int64_t> sequence_points,
+            SortingStatus sorting_status = SortingStatus::Unknown
+        ) {
+            return TimeColumn(
+                Timeline(std::move(timeline_name), TimeType::Sequence),
+                std::move(sequence_points),
+                sorting_status
+            );
+        }
+
         /// Creates a time column from an array of nanoseconds.
         ///
         /// \param timeline_name The name of the timeline this column belongs to.