How does this compare to Ternary?
There are quite a few cloud cost tools out there which use AWS's cost and usage reports (or GCP/Azure equivalents) as their sources of truth, and as a consequence their data is largely based on tagging cloud resources with attributes of interest (e.g. EC2 instance XXX has tags customerId:ABC, teamId:DEF, featureId:GHI). These include Ternary, Vantage, Yotascale, and others (CloudChipr, CloudZero, Archera, Cloudthread, Finout, Spot by NetApp, DoiT, Tailwarden, CAST AI, Densify, GorillaStack, Economize Cloud). Some of these offer AI-based automatic tagging as well.
But even so, if I - for example - have a lots of k8s replica Pods which serve most of my application traffic, I can't use any of these products to figure out which customers, API endpoints, code paths, features, etc. are costing me the most. At best I could tag the entire Deployment, or maybe even each Pod. But the problem is that every Pod is serving lots of endpoints, customers, and features. However, Dashdive can give you this info.
From a technical implementation standpoint, Dashdive is much closer to application performance monitoring (APM) products or usage based billing products than it is to most cloud cost dashboard products.