diff --git a/apps/docs/content/guides/database/replication.mdx b/apps/docs/content/guides/database/replication.mdx
index 322400d787f..941c1b12ef2 100644
--- a/apps/docs/content/guides/database/replication.mdx
+++ b/apps/docs/content/guides/database/replication.mdx
@@ -38,7 +38,7 @@ Supabase provides managed replication to popular data platforms powered by [Supa
-Destination availability varies based on our planned rollout strategy. The destinations you can access depend on your project and access level.
+Destination availability varies based on our planned roll-out strategy. The destinations you can access depend on your project and access level.
diff --git a/apps/docs/content/guides/database/replication/etl-replication-faq.mdx b/apps/docs/content/guides/database/replication/etl-replication-faq.mdx
index 8356cb7c2e7..4b3c2e9c8b0 100644
--- a/apps/docs/content/guides/database/replication/etl-replication-faq.mdx
+++ b/apps/docs/content/guides/database/replication/etl-replication-faq.mdx
@@ -18,7 +18,7 @@ Supabase supports managed replication to:
- **Analytics Buckets**: S3-compatible storage using Apache Iceberg open table format
- **BigQuery**: Google's fully managed data warehouse
-Both destinations are supported, but availability varies based on our planned rollout strategy. The destinations you can access depend on your project and access level.
+Both destinations are supported, but availability varies based on our planned roll-out strategy. The destinations you can access depend on your project and access level.
For detailed setup instructions, see the [Managed Destinations Setup guide](/docs/guides/database/replication/etl-replication-setup).
diff --git a/apps/docs/content/guides/database/replication/etl-replication-setup.mdx b/apps/docs/content/guides/database/replication/etl-replication-setup.mdx
index e084c72dc9b..0a190d0d744 100644
--- a/apps/docs/content/guides/database/replication/etl-replication-setup.mdx
+++ b/apps/docs/content/guides/database/replication/etl-replication-setup.mdx
@@ -119,7 +119,7 @@ Follow these steps to configure your destination. The specific configuration dep
-Both Analytics Buckets and BigQuery destinations are supported. However, availability varies based on our planned rollout strategy. The destinations you can access depend on your project and access level.
+Both Analytics Buckets and BigQuery destinations are supported. However, availability varies based on our planned roll-out strategy. The destinations you can access depend on your project and access level.
@@ -134,9 +134,9 @@ Both Analytics Buckets and BigQuery destinations are supported. However, availab
[Analytics Buckets](/docs/guides/storage/analytics/introduction) are specialized storage buckets in Supabase Storage designed for analytical workloads. They provide S3-compatible storage and use the [Apache Iceberg](https://iceberg.apache.org/) open table format, making your data accessible via standard tools like DuckDB, Spark, and other analytics platforms.
-When you replicate to Analytics Buckets, your database changes are automatically written in Iceberg format, creating queryable tables in object storage optimized for analytics.
+When you replicate to Analytics Buckets, your database changes are automatically written in Iceberg format, creating tables in object storage that you can query for analytics.
-##### Step 1: Create an Analytics Bucket
+##### Step 1: Create an analytics bucket
First, create an Analytics Bucket to store your replicated data:
@@ -167,7 +167,7 @@ First, create an Analytics Bucket to store your replicated data:
- **S3 Access Key ID**: Access key for S3-compatible storage
- **S3 Secret Access Key**: Secret key for S3-compatible storage
-##### Step 2: Configure Analytics Buckets as a destination
+##### Step 2: Configure analytics buckets as a destination
1. Navigate to [Database](/dashboard/project/_/database/etl) → **ETL Replication** in your Supabase Dashboard
2. Click **Add destination**