diff --git a/src/connections/storage/catalog/data-lakes/index.md b/src/connections/storage/catalog/data-lakes/index.md
index d05220b839..91b30ae74c 100644
--- a/src/connections/storage/catalog/data-lakes/index.md
+++ b/src/connections/storage/catalog/data-lakes/index.md
@@ -7,12 +7,12 @@ redirect_from:
 {% include content/plan-grid.md name="data-lakes" %}
 
 Segment Data Lakes provide a way to collect large quantities of data in a format that's optimized for targeted data science and data analytics workflows. You can read [more information about Data Lakes](/docs/connections/storage/data-lakes/) and learn [how they differ from Warehouses](/docs/connections/storage/data-lakes/comparison/) in Segment's Data Lakes documentation.
-Segment only supports [AWS Data Lakes](/docs/connections/storage/catalog/data-lakes/#set-up-segment-data-lakes).
+Segment only supports [AWS Data Lakes](/docs/connections/storage/catalog/data-lakes/#set-up-segment-data-lakes), but you can also connect to the  [Databricks](/docs/connections/storage/catalog/databricks/) storage destination to ingest data into your Lakehouse. 
 
 > success ""
 > You can also set up your Segment Data Lakes using [Lake Formation](/docs/connections/storage/data-lakes/lake-formation/), a fully managed service built on top of the AWS Glue Data Catalog.
 
-## Set up Segment Data Lakes (AWS)
+## Set up Segment Data Lakes
 
 To set up Segment Data Lakes, create your AWS resources, enable the Segment Data Lakes destination in the Segment app, and verify that your Segment data is synced to S3 and Glue.