From e82b532c962c1e47611973eba56d8d487b4c6c34 Mon Sep 17 00:00:00 2001 From: Anastasiia Tovpeko <114177030+atovpeko@users.noreply.github.com> Date: Mon, 10 Feb 2025 09:39:00 +0200 Subject: [PATCH] VPC clarification for FDW (#3821) Co-authored-by: Iain Cox --- .../schema-management/foreign-data-wrappers.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/use-timescale/schema-management/foreign-data-wrappers.md b/use-timescale/schema-management/foreign-data-wrappers.md index a4d5b83340..72f8d9b257 100644 --- a/use-timescale/schema-management/foreign-data-wrappers.md +++ b/use-timescale/schema-management/foreign-data-wrappers.md @@ -8,14 +8,14 @@ tags: [change] # Foreign data wrappers -You use foreign data wrappers (FDWs) to query external data sources from a Timescale Cloud service. These data sources can be one of the following: +You use foreign data wrappers (FDWs) to query external data sources from a $SERVICE_LONG. These external data sources can be one of the following: -- Other Timescale Cloud services. -- PostgreSQL databases outside of Timescale Cloud. +- $SERVICE_LONGs +- PostgreSQL databases outside of $CLOUD_LONG -If you are using [VPC peering][vpc-peering], you can create FDWs in your Customer VPC for a service in Timescale VPC or the same project. However, you can't create FDWs from Timescale VPC to Customer VPC. +If you are using $VPC peering, you can create FDWs in your Customer VPC to query a $SERVICE_SHORT in your $CLOUD_LONG project. However, you can't create FDWs in your $SERVICE_LONGs to query a data source in your Customer VPC. This is because $CLOUD_LONG $VPC peering uses AWS PrivateLink for increased security. See [VPC peering documentation][vpc-peering] for additional details. -FDWs are particularly useful if you manage multiple different Timescale Cloud service types, and need to seamlessly access and merge regular and time-series data. +FDWs are particularly useful if you manage multiple $SERVICE_LONGs with different capabilities, and need to seamlessly access and merge regular and time-series data. ## Query another data source