Relational database
One provisioned resource vs. Usage + compute + storageBackups, connection handling and lifecycle are consolidated.
See the honest tradeoff between Cohesivity’s managed service layer and assembling direct infrastructure yourself.
Monthly directional estimates. Adjust the stage to see how the tradeoff changes with scale.
Estimated engineering operations at this stage
The lowest unit price and the lowest total burden are not always the same thing.
Backups, connection handling and lifecycle are consolidated.
A single access pattern and managed credentials reduce setup work.
Deployment, routing, secrets, and observability arrive together.
One interface, routing, spend controls, and credential isolation.
This model is a planning tool. It keeps raw service spend separate from the work required to provision, secure, monitor, and maintain the stack.
Challenge an assumption →Both paths model the same request, storage, and data volumes.
Engineering time uses a blended $80/hour planning rate.
Actual usage shape, support, and retention will change costs.
All scenarios and mappings live in structured local JSON.
Compass knows the scenarios, service mappings, and tradeoffs on this page. Ask about your team, workload, or where the extra cost goes.
Hi, I’m Compass. Ask me what changes the cost equation, which setup fits your team, or how these estimates work.