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Debunking MongoDB Myths: Enterprise Use Cases | MongoDB Blog
Excerpt
Teams working with MongoDB back in 2014 or earlier faced challenges when deploying it in production. Applications could slow down under heavy loads, data consistency was not guaranteed when writing to multiple documents, and teams lacked tools to monitor and manage deployments effectively.
Related Pain Points
Weak multi-document ACID transaction support
7MongoDB's ACID transaction capabilities are significantly weaker than traditional SQL databases. While multi-document transactions were added in version 4.0, they come with substantial performance overhead and remain difficult to use reliably for applications requiring strict consistency guarantees.
Application scalability and dynamic workload handling
6Designing applications that can handle varying workloads and scale up or down quickly is difficult. Predicting traffic patterns and configuring auto-scaling appropriately requires expertise.
Lack of observability and monitoring tools
6Historical MongoDB deployments lacked adequate tools to monitor and manage production systems effectively. Context-aware metrics are now critical, but understanding which metrics to track and how to calculate working set sizes remains challenging.