# How to Keep Staging in Sync with Production in Postgres

DevFeed: [How to Keep Staging in Sync with Production in Postgres](<https://devfeed.tech/articles/how-to-keep-staging-in-sync-with-production-in-postgres-5390.md>)

Original publisher: [Read original article](<https://neon.com/blog/how-to-keep-staging-in-sync-with-production-in-postgres>)

Author: Carlota Soto

Published: 2025-12-23T20:42:38Z

Content type: article

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [Databases](<https://devfeed.tech/topics/databases.md>), [Replication](<https://devfeed.tech/topics/replication.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [configuration](<https://devfeed.tech/topics/configuration.md>), [Monitoring](<https://devfeed.tech/topics/monitoring.md>), [AWS Database Migration Service](<https://devfeed.tech/topics/aws-database-migration-service.md>)

Tags: [aws](<https://devfeed.tech/tags/aws.md>), [configuration](<https://devfeed.tech/tags/configuration.md>), [databases](<https://devfeed.tech/tags/databases.md>), [disk-space](<https://devfeed.tech/tags/disk-space.md>), [monitoring](<https://devfeed.tech/tags/monitoring.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [product](<https://devfeed.tech/tags/product.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [replication](<https://devfeed.tech/tags/replication.md>)

## AI overview

The article compares ways to keep a PostgreSQL staging environment synchronized with production. It describes pg_dump and pg_restore as simple but slow and disruptive for larger databases, logical replication as a near-real-time option that requires manual schema and configuration management, and DMS as a managed AWS alternative with ongoing schema and configuration considerations.

## Source excerpt

Staging environments drift. The fix is obvious: refresh staging from production regularly. The problem is that "regularly" and "multi-hour database copy" don't mix well. Three traditional approaches pg_dump / pg_restore This simple route works for small databases and not critical...