Merge pull request #3570 from ClickHouse/update-pg-pipe-public

Postgres pipe: Update status in a few texts to beta

Author: gingerwizard

docs/integrations/data-ingestion/dbms/postgresql/connecting-to-postgresql.md

@@ -12,15 +12,15 @@ import ExperimentalBadge from '@theme/badges/ExperimentalBadge';
 
 This page covers following options for integrating PostgreSQL with ClickHouse:
 
-- using [ClickPipes](/integrations/clickpipes/postgres), the managed integration service for ClickHouse Cloud - now in Private Preview. Please [sign up here](https://clickpipes.peerdb.io/)
+- using [ClickPipes](/integrations/clickpipes/postgres), the managed integration service for ClickHouse Cloud - now in public beta. Please [sign up here](https://clickpipes.peerdb.io/)
 - using `PeerDB by ClickHouse`, a CDC tool specifically designed for PostgreSQL database replication to both self-hosted ClickHouse and ClickHouse Cloud
-  - PeerDB is now available natively in ClickHouse Cloud - Blazing-fast Postgres to ClickHouse CDC with our [new ClickPipe connector](/integrations/clickpipes/postgres) - now in Private Preview. Please [sign up here](https://clickpipes.peerdb.io/)
+  - PeerDB is now available natively in ClickHouse Cloud - Blazing-fast Postgres to ClickHouse CDC with our [new ClickPipe connector](/integrations/clickpipes/postgres) - now in public beta. Please [sign up here](https://clickpipes.peerdb.io/)
 - using the `PostgreSQL` table engine, for reading from a PostgreSQL table
 - using the experimental `MaterializedPostgreSQL` database engine, for syncing a database in PostgreSQL with a database in ClickHouse
 
 ## Using ClickPipes (powered by PeerDB) {#using-clickpipes-powered-by-peerdb}
 
-PeerDB is now available natively in ClickHouse Cloud - Blazing-fast Postgres to ClickHouse CDC with our [new ClickPipe connector](/integrations/clickpipes/postgres) - now in Private Preview. Please [sign up here](https://clickpipes.peerdb.io/)
+PeerDB is now available natively in ClickHouse Cloud - Blazing-fast Postgres to ClickHouse CDC with our [new ClickPipe connector](/integrations/clickpipes/postgres) - now in public beta. Please [sign up here](https://clickpipes.peerdb.io/)
 
 ## Using the PostgreSQL Table Engine {#using-the-postgresql-table-engine}
 

docs/integrations/data-ingestion/dbms/postgresql/inserting-data.md

@@ -9,8 +9,8 @@ We recommend reading [this guide](/guides/inserting-data) to learn best practice
 
 For bulk loading data from PostgreSQL, users can use:
 
-- using [ClickPipes](/integrations/clickpipes/postgres), the managed integration service for ClickHouse Cloud - now in Private Preview. Please [sign up here](https://clickpipes.peerdb.io/)
+- using [ClickPipes](/integrations/clickpipes/postgres), the managed integration service for ClickHouse Cloud - now in public beta. Please [sign up here](https://clickpipes.peerdb.io/)
 - `PeerDB by ClickHouse`, an ETL tool specifically designed for PostgreSQL database replication to both self-hosted ClickHouse and ClickHouse Cloud.
-    - PeerDB is now available natively in ClickHouse Cloud - Blazing-fast Postgres to ClickHouse CDC with our [new ClickPipe connector](/integrations/clickpipes/postgres) - now in Private Preview. Please [sign up here](https://clickpipes.peerdb.io/)
+    - PeerDB is now available natively in ClickHouse Cloud - Blazing-fast Postgres to ClickHouse CDC with our [new ClickPipe connector](/integrations/clickpipes/postgres) - now in public beta. Please [sign up here](https://clickhouse.com/cloud/clickpipes/postgres-cdc-connector)
 - The [Postgres Table Function](/sql-reference/table-functions/postgresql) to read data directly. This is typically appropriate for if batch replication based on a known watermark, e.g. a timestamp. is sufficient or if it's a once-off migration. This approach can scale to 10's of millions of rows. Users looking to migrate larger datasets should consider multiple requests, each dealing with a chunk of the data. Staging tables can be used for each chunk prior to its partitions being moved to a final table. This allows failed requests to be retried.  For further details on this bulk-loading strategy, see here.
 - Data can be exported from Postgres in CSV format. This can then be inserted into ClickHouse from either local files or via object storage using table functions.