CostGlass compared with native cloud tools and FinOps platforms
A side-by-side look at native cloud tools, other FinOps platforms and CostGlass: open billing data, multi-cloud coverage, Kubernetes and AI cost tracking, hands-on help with fixes, and flat monthly pricing.
Architecture & Open Standards
How data is modeled, stored, and integrated across diverse cloud providers.
| Capability | Legacy enterprise platforms | Modern developer tools | CostGlass |
|---|---|---|---|
| Underlying Billing Schema | Often a closed, proprietary data model, which can make switching vendors harder. | Custom proprietary telemetry schema with partial export capabilities. | Native Linux Foundation FOCUS 1.0 (FinOps Open Cost & Usage Specification) standard across all providers. |
| Security & Secret Storage | Often relies on long-lived access keys or API tokens held by the vendor. | Cross-account roles for the major clouds, with static secrets for some third-party tools. | No long-lived cloud keys stored. Read-only roles and short-lived credentials that you control and can revoke at any time. |
| Multi-Cloud Breadth | Primarily single-cloud focused with secondary or bolted-on support for other clouds. | Limited to 2–3 major clouds with minimal third-party ecosystem coverage. | Equal first-class support across AWS, Azure, Google Cloud, Oracle Cloud (OCI), Alibaba Cloud, DigitalOcean, Linode (Akamai), Cloudflare, Datadog & Snowflake. |
| Cloud Data Ingestion Engine | Data is often refreshed once every 24–48 hours, so spikes can take a day or more to appear. | Data refreshed every 12–24 hours. | Cost data refreshed automatically every 6 hours, with on-demand sync across every connected cloud. |
GenAI & AI Workload Intelligence
Granular tracking of LLM tokens, prompt-caching discounts, and cloud-native AI spend.
| Capability | Legacy enterprise platforms | Modern developer tools | CostGlass |
|---|---|---|---|
| Commercial LLM Token Tracking | Often not supported. AI usage appears as an unclassified invoice line or is not tracked. | Basic top-level vendor invoice sync without token or model granularity. | Daily model-level token tracking (GPT-4o, Claude 3.5, etc.) via native OpenAI & Anthropic Admin Usage APIs. |
| Prompt Caching & Batch API Analytics | No support. Cannot distinguish between standard, cached, or batch inference. | Reports billed amounts without identifying cache hit rates or batch savings. | Explicit tracking of prompt-cache hit volume (up to 90% savings) and Batch API discount adoption. |
| Cloud-Native GenAI & Specialized GPUs | Billed generically under compute; no AI model or inference categorization. | Categorized under native cloud services without model-level inference context. | Standardized FOCUS classification for AWS Bedrock, Azure OpenAI, Google Vertex AI, and specialized GPU compute across all clouds. |
AI Assistant & Agent
Ask questions in plain English, investigate spikes and get savings plans, with answers checked against your own data.
| Capability | Legacy enterprise platforms | Modern developer tools | CostGlass |
|---|---|---|---|
| Ask Your Cost Data in Plain English | Typically dashboards and reports you filter and read yourself. | Some offer a chat assistant; scope, plan level and how answers are verified vary by vendor. | CostGlass AI answers from your own cost ledger and links each figure to the page it came from. Amounts it writes are checked against measured data. Included from the Growth plan. |
| Anomaly Investigation | An alert tells you that spend moved; finding out why is manual. | Alerts with a suggested cause; depth of investigation varies. | One click works through service, account and usage changes step by step and cites the evidence for each finding. |
| Rightsizing & Scheduling Plans | Lists of recommendations you prioritise yourself. | Recommendations with estimated savings; ordering and pre-change checks vary. | A prioritised plan of what to resize and what to switch off out of hours, with the monthly saving for each and what to check first. |
| Control Over Changes | Not applicable: read-only reports. | Varies: some automate changes, others only recommend. | Nothing is created or changed until you review and confirm, using your own role and access. Every confirmed change is recorded in the audit log. |
Kubernetes & Container Economics
Container cost allocation, idle waste attribution, and cluster carbon footprint across any Kubernetes distribution.
| Capability | Legacy enterprise platforms | Modern developer tools | CostGlass |
|---|---|---|---|
| Cluster Telemetry Mechanism | Proprietary heavy host agents or expensive separate container add-on licenses. | Custom Prometheus-based agent requiring substantial cluster memory/CPU. | Lightweight in-cluster agent built on the open-source OpenCost standard, with read-only access across EKS, AKS, GKE, OKE and self-managed Kubernetes. |
| Allocation Depth | Limited to cluster or top-level namespace splits. | Namespace and pod allocation, with limited workload hierarchy. | Granular allocation across Namespace, Deployment, StatefulSet, DaemonSet, Job, Pod, and GPU slice. |
| Cluster Health & Carbon Tracking | Financial cost only. Zero visibility into cluster health or environmental metrics. | Financial cost only; carbon tracking requires third-party bolt-ons. | Real-time cumulative pod restarts, node CPU/memory saturation, and verified cluster carbon footprint (kg CO₂e). |
| Container Budgeting Methodology | Month-to-date totals can be extrapolated, which may distort short-lived container spend. | Static month-to-date tracking with inaccurate burn-rate spikes. | Trailing 24-hour run-rate window with honest month-end projections (never fabricated MTD sums). |
From Insight to Action: DevOps Execution
Bridging the divide between identifying cloud waste and actually fixing it.
| Capability | Legacy enterprise platforms | Modern developer tools | CostGlass |
|---|---|---|---|
| Recommendation Delivery | Static PDF reports or dense spreadsheets with dozens of unprioritized suggestions. | Interactive dashboard cards with manual copy-paste instructions. | Actionable multi-cloud recommendations with ready-to-run, verified Terraform code and CLI remediation snippets. |
| Automated Non-Prod Scheduling | Separate complex scheduling products requiring custom scripts and manual maintenance. | Limited or requires third-party automation tools. | Built-in Instance Scheduler: customer-consented automatic start/stop for non-prod VMs and databases (up to 65% savings). |
| Human Engineering Execution | Not included. You need an internal FinOps team or outside consultants to act on findings. | Not included. Software only, so implementation is left to your own team. | Hybrid FinOps + DevOps-as-a-Service: Dedicated senior DevOps engineers execute cloud fixes on-demand (Growth & Scale). |
Multi-Tenant Governance & Hierarchy
Structuring cross-cloud business units, squads, and fine-grained access control.
| Capability | Legacy enterprise platforms | Modern developer tools | CostGlass |
|---|---|---|---|
| Organizational Tree Structure | Tied strictly to native single-provider structures (e.g., AWS Organizations or Azure Management Groups only). | Basic tagging filters or workspace tags that break across cloud providers. | Independent, provider-agnostic organizational tree unifying AWS, Azure, GCP, OCI, Alibaba, DigitalOcean, Linode, and Cloudflare. |
| Account Mapping Workflows | Rigid manual configuration or custom enterprise consulting engagements. | Manual assignment or basic single-cloud OU import. | Interactive Unmapped Queue, standard CSV bulk import, and priority-ordered rule auto-assignment engine. |
| Scoped RBAC & Data Privacy | All-or-nothing tenant access or convoluted multi-role enterprise permissions. | Workspace-level access with limited query isolation. | Node-scoped RBAC: Squad users are cryptographically confined to their sub-tree via SQL WHERE clauses. |
| Enterprise SAML SSO & Directory Sync | Available only on top-tier bespoke enterprise contracts. | Add-on paid upgrade for SAML SSO. | Full SAML 2.0 (Okta, Entra ID, PingIdentity) with automated directory group-to-node mapping. |
Pricing Model & Commercial Transparency
Flat monthly pricing versus pricing as a percentage of cloud spend.
| Capability | Legacy enterprise platforms | Modern developer tools | CostGlass |
|---|---|---|---|
| Billing Structure | Often priced as a percentage of cloud spend (commonly 2%–5%), so the fee grows as your cloud bill grows. | Spend-banded pricing or percentage-based fee with annual lock-in. | Predictable, flat monthly tiers (£99 / £499 / £1,499). Your fee does not rise as your cloud spend grows. |
| Contract Term & Commitment | 1 to 3-year enterprise contracts with upfront minimums are common. | Annual commitments with sales-gated onboarding. | Month-to-month rolling subscription. Cancel anytime. 14-day free trial on self-serve tiers. |
| Free Tier & Pilot Access | No self-serve access. Requires multiple sales qualification calls and demos. | Limited trial period or restricted sandbox environment. | Free tier for small workloads and 14-day full-featured trial on all tiers with zero credit card required. |