Unpredictable data loss in production

9/10 Critical

MongoDB has exhibited severe data loss issues including unexplained record disappearance, unsuccessful recovery from corruption, replication gaps causing missing records on slaves, and replication stopping without errors.

MongoDB
Category
data
Workaround
none
Stage
deploy
Freshness
persistent
Scope
single_lib
Upstream
stale
Recurring
Yes
Buyer Type
enterprise
Maintainer
slow

Sources

Collection History

Query: “What are the most common pain points with Railway for developers in 2025?”4/7/2026

Data loss and DB corruption (309 threads) are triggered by routine operations like image updates and region migrations, and are sometimes irreversible — a direct consequence of Railway running databases as unmanaged containers with no built-in backup or recovery layer.

Query: “What are the most common pain points with MongoDB for developers in 2025?”4/4/2026

MongoDB can lose data in many startling ways... They just disappeared sometimes. Cause unknown. Recovery on corrupt database was not successful. Replication between master and slave had *gaps* in the oplogs, causing slaves to be missing records the master had.

Created: 4/4/2026Updated: 4/7/2026