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Know what your graph database costs, and why

CloudZero maps every GrapheneDB instance, replica, and storage dollar to the team, product, or customer driving it, so your graph database spend stays accountable as it scales.

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Find the right team, product, or environment

GrapheneDB instances often get provisioned for a product or feature and then live in a shared AWS account with no clear owner. CloudZero maps every instance to the product, team, or environment responsible, so cost accountability doesn’t stop at the infrastructure layer.

Read-replicas and storage can grow quietly for weeks

A forgotten read-replica or an expanding snapshot archive can quietly add hundreds per month before anyone reviews the bill. CloudZero flags the deviation in real time and gets the alert to the team that can act on it.

Graph databases power AI, make sure the economics add up

GrapheneDB is a cost driver for every AI feature it supports. CloudZero calculates cost per AI query, per customer, or per product, so your team knows what the graph layer actually costs to deliver, not just what it costs to run.

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Get your GrapheneDB spend in one place

Unified spend view

CloudZero brings your GrapheneDB costs into a single view, so your team can see total infrastructure cost by product or customer without switching between billing dashboards.

Cost signals inside the engineering workflow

CloudZero correlates GrapheneDB cost changes with deployments and code changes, so engineers see the cost impact of their work without waiting for a monthly finance review.

Shared graph infrastructure, fairly split

When multiple products or teams share a GrapheneDB instance, CloudZero splits the cost proportionally based on actual usage telemetry. Every team sees their real share, and nobody subsidizes someone else’s graph workload.