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Pay the cloud provider to run the database so your engineers can build the product.
Quick Definition
Managed services are cloud offerings where the provider operates the underlying infrastructure, databases, queues, Kubernetes control planes, and more, so teams consume capability without managing servers. They reduce operational burden but require attention to usage-based pricing.
Managed services are cloud offerings where the provider operates the infrastructure underneath a capability: databases, message queues, Kubernetes control planes, caches, search engines. You use the service through an API; patching, backups, failover, and hardware are the provider's problem.
The pricing looks higher than do-it-yourself, a managed database costs more per hour than the same-size virtual machine, and that comparison misleads. The honest comparison is total cost of ownership: the VM price plus the engineer hours spent on patching, backup testing, failover drills, and 3 a.m. incidents. For most teams, most of the time, managed wins.
Example. A startup self-hosts its database to save $300 a month. Over a year it spends roughly six engineer-weeks on upgrades, backup failures, and one corrupted-disk weekend. The saved $3,600 cost perhaps $30,000 in engineering time.
The exceptions are extreme scale, unusual requirements, or genuine differentiation. Otherwise, buy the boring parts. The build vs buy analysis makes the same argument for cost tooling itself.
At very large scale where the markup exceeds a dedicated team's cost, or when requirements genuinely exceed what managed offerings allow.
Some do, especially proprietary ones. Open-standard managed services such as managed Postgres keep migration realistic.
Total cost of ownership: service fees versus infrastructure plus realistic engineering hours, incident risk, and opportunity cost.