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Riccardo Busetti committed 2025-11-21 14:27:37 +01:00
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apps/docs/content/guides/database/replication.mdx
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@@ -38,7 +38,7 @@ Supabase provides managed replication to popular data platforms powered by [Supa
<Admonition type="note">
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.
</Admonition>
apps/docs/content/guides/database/replication/etl-replication-faq.mdx
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@@ -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).
apps/docs/content/guides/database/replication/etl-replication-setup.mdx
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@@ -119,7 +119,7 @@ Follow these steps to configure your destination. The specific configuration dep
<Admonition type="note">
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.
</Admonition>
@@ -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**