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**