Point-in-time recovery

Most major cloud providers and database-as-a-service (DBaaS) platforms offer Point-in-Time Recovery (PITR) . PITR works by combining automated periodic full backups/snapshots with a continuous stream of transaction logs, allowing you to "rewind" your database to a precise second.[docs.aws.amazon.com](https://docs.aws.amazon.com/aws-backup/latest/devguide/point-in-time-recovery.html)

Crucially, performing a PITR always creates a new database or instance rather than overwriting your existing live production database.[docs.aws.amazon.com](https://azure.microsoft.com/en-us/blog/azure-sql-database-point-in-time-restore/)[[2](https://azure.microsoft.com/en-us/blog/azure-sql-database-point-in-time-restore)](https://docs.cloud.google.com/sql/docs/sqlserver/backup-recovery/pitr)

Leading managed database services that provide PITR include:

• Amazon RDS & Amazon Aurora (AWS): Supports continuous backups for Amazon RDS and Aurora clusters, enabling you to restore to any specific second within a user-defined retention window of up to 35 days. You can manage this via the AWS Console , CLI, or AWS BackupAWS Backup.[docs.aws.amazon.com](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_PIT.html)[[2](https://azure.microsoft.com/en-us/blog/azure-sql-database-point-in-time-restore)](https://docs.aws.amazon.com/aws-backup/latest/devguide/point-in-time-recovery.html)[[3]()]()
• Google Cloud SQL (MySQL, PostgreSQL, SQL Server): Cloud SQL PITRCloud SQL PITR allows you to restore live, accidentally deleted, or corrupted primary instances by spinning up a new clone mapped to an exact UTC timestamp or binary log position.[docs.aws.amazon.com](https://docs.cloud.google.com/sql/docs/postgres/backup-recovery/pitr)[[2](https://azure.microsoft.com/en-us/blog/azure-sql-database-point-in-time-restore)](https://docs.cloud.google.com/sql/docs/mysql/backup-recovery/pitr)[[3](https://docs.cloud.google.com/sql/docs/sqlserver/backup-recovery/pitr)](https://docs.cloud.google.com/sql/docs/sqlserver/backup-recovery/pitr)
• Azure SQL Database & Azure SQL Managed Instance: Azure SQL Point-in-Time RestoreAzure SQL Point-in-Time Restore automatically keeps transactional backup streams. Depending on your service tier (Basic, Standard, Premium, or General Purpose/Business Critical), you can restore a database to any point within a 7-day to 35-day retention period.[docs.aws.amazon.com](https://learn.microsoft.com/en-us/azure/azure-sql/managed-instance/point-in-time-restore?view=azuresql)[[2](https://azure.microsoft.com/en-us/blog/azure-sql-database-point-in-time-restore)](https://azure.microsoft.com/en-us/blog/azure-sql-database-point-in-time-restore/)
• MongoDB Atlas (MongoDB): Offers continuous cloud backup with point-in-time restore functionality across major cloud providers, letting you target a specific operation or timestamp down to the minute.
• Aiven (Multi-cloud PostgreSQL, MySQL, Cassandra, etc.): Provides automated continuous backups and point-in-time recovery options across their fully managed open-source database infrastructure.
• CockroachDB Cloud: Provides built-in continuous backup support with point-in-time recovery options to restore your cluster state to a specific point in time.

If you'd like, let me know:

• Which database engine (PostgreSQL, MySQL, SQL Server, etc.) you are using
• Which cloud platform or provider your stack runs on

I can give you the specific CLI commands or console steps to perform the recovery.

To eliminate database management overhead and secure mission-critical data, major cloud and specialized database providers offer fully managed relational database services featuring automated backups and point-in-time recovery (PITR).[isquiz.com](https://www.isquiz.com/post/cloud-database-services-compared/)

The top options on the market depend heavily on your existing cloud ecosystem and engine requirements:

• Amazon Relational Database Service (RDS) : Offers fully managed support for PostgreSQL, MySQL, MariaDB, Oracle, and SQL Server. It handles automated backups (retained up to 35 days) and continuous transaction log backups, enabling precise point-in-time recovery down to the second.[isquiz.com](https://www.geopits.com/blog/managed-sql-server-on-cloud-rds-sql-server-vs-azure-sql-database-vs-azure-sql-managed-instance)[[2](https://www.geopits.com/blog/managed-sql-server-on-cloud-rds-sql-server-vs-azure-sql-database-vs-azure-sql-managed-instance)](https://go-cloud.io/what-is-amazon-rds-and-how-does-it-work/)
• Microsoft Azure SQL Database : A fully managed relational database service built for the cloud that automatically performs differential and transaction log backups. It provides built-in point-in-time recovery for up to 35 days alongside active geo-replication.[isquiz.com](https://www.geopits.com/blog/managed-sql-server-on-cloud-rds-sql-server-vs-azure-sql-database-vs-azure-sql-managed-instance)[[2](https://www.geopits.com/blog/managed-sql-server-on-cloud-rds-sql-server-vs-azure-sql-database-vs-azure-sql-managed-instance)](https://www.isquiz.com/post/cloud-database-services-compared/)
• Google Cloud SQL : A fully managed relational database service for MySQL, PostgreSQL, and SQL Server. It provides automated daily backups, transaction logging, and point-in-time recovery capabilities to restore instances to a specific timestamp.[isquiz.com](https://www.isquiz.com/post/cloud-database-services-compared/)
• Neon : A modern, fully managed serverless Postgres platform designed specifically to offload infrastructure overhead. It features instant point-in-time recovery and automated continuous backup models built around storage-compute separation.
• Sliplane Managed Postgres : A streamlined, developer-focused managed PostgreSQL provider that bakes automated point-in-time recovery, zero-downtime scaling, and predictable pricing directly into straightforward cloud deployments.[isquiz.com](https://sliplane.io/blog/managed-postgres-providers-with-automated-backups)

To help narrow down the best fit, could you tell me:

• Which database engine (PostgreSQL, MySQL, SQL Server, etc.) are you using?
• Are you already deployed within a specific cloud ecosystem (like AWS, Azure, or GCP)?