Supported providers
CloudQuell reads cost data from your cloud and AI providers and normalizes it into one ledger. AWS, Microsoft Azure, Google Cloud, Anthropic, OpenAI, and Snowflake are available to every organization today; the rest are on the roadmap. Your subscription covers each provider as it goes live — pricing is unified, never per-connector.
Available now
Section titled “Available now”Amazon Web Services
Section titled “Amazon Web Services”Full Cost and Usage Report ingestion, Compute Optimizer, Reserved Instance and Savings Plan recommendations, anomaly detection, and allocation rules — connected through a read-only cross-account IAM role. Amazon Bedrock usage on the AWS bill is part of this — it stays in your cloud spend and also appears in the AI Spend view beside your direct Anthropic and OpenAI usage, with nothing extra to connect. See Connect your AWS account and the dashboard tour.
Snowflake
Section titled “Snowflake”Credit consumption treated as another spend source, with warehouse-level
attribution — authoritative dollars from Snowflake’s ORGANIZATION_USAGE views,
connected through a read-only key-pair service user that runs on a cost-capped XS
warehouse. Flows into the same ledger, reporting, and allocation views as your cloud
spend. See Connect Snowflake.
Anthropic
Section titled “Anthropic”Per-model token consumption and cost attribution by workspace and API key, connected through a Claude Console admin key and flowing into the same ledger and views as AWS. Claude used through Amazon Bedrock, Azure Marketplace, or Google Vertex AI is billed by that cloud and comes in with the AWS, Azure, or Google Cloud integration instead — it still shows in the AI Spend view. See Connect Anthropic.
OpenAI
Section titled “OpenAI”Per-model usage and cost attribution by project and API key, connected through a read-only Admin API key and flowing into the same AI Spend view as Anthropic. See Connect OpenAI.
Microsoft Azure
Section titled “Microsoft Azure”Azure Cost Management ingestion — invoice-accurate FOCUS exports or an API quick connect — plus reservation and savings-plan tracking on the Commitments page, connected through a read-only service principal and flowing into the same dashboard and allocation model as AWS. Azure AI Foundry usage on the Azure bill (Azure OpenAI and the other models Microsoft sells through Foundry) stays in your cloud spend and also appears in the AI Spend view, with nothing extra to connect. Savings recommendations are AWS-only for now. See Connect Microsoft Azure.
Google Cloud
Section titled “Google Cloud”BigQuery billing-export ingestion (the invoice-grade Detailed export) with keyless access — you grant a CloudQuell service account two read-only BigQuery roles via Workload Identity Federation; no key ever changes hands. Projects appear as sub-accounts, labels arrive as tags, and Committed Use Discount coverage lands on the Commitments page. Gemini and Vertex AI generative usage on the bill stays in your cloud spend and also appears in the AI Spend view, with nothing extra to connect. Savings recommendations are AWS-only for now, and there are no CUD expiry alerts for GCP yet. See Connect Google Cloud.
Coming later
Section titled “Coming later”On the public roadmap by request, but not yet in active development. Want one prioritized? Email us.
- Datadog — billing ingestion (hosts, indexes, custom metrics) for unit-economics analysis alongside the underlying cloud spend.
- PagerDuty — page on-call when a high-severity cost anomaly fires, rather than only posting to Slack.