Gartner expects worldwide public cloud spending to grow 21.3% in 2026, on its way to $1.48T by 2029. Worldwide AI spend is forecast to reach $2.59T in 2026, up 47% year over year, and IDC puts AI infrastructure alone on track for $758B by 2029. The direction is one way, and it is steep.
At that rate, cost optimization stops being a quarterly cleanup and becomes a standing priority. But the priority has shifted. The top question buyers bring in 2026 is not "can you optimize cost." It is "can you automate the fix." As scale grows, so does the cleanup, and detection without remediation just moves the backlog from one team to another.
These are the tools worth evaluating in 2026, ranked by how deep they detect and whether they close the loop.
| Tool | Detection depth | Automated remediation | Coverage | Best for |
|---|---|---|---|---|
| PointFive | Deep: 500+ types, 85+ services | Yes: auditable PRs | AWS, Azure, GCP, OCI, Kubernetes, Snowflake, Databricks | Engineering-led teams that ship the fix |
| CloudHealth / Tanzu (Broadcom) | Reporting and policy | Limited | AWS, Azure, GCP, Oracle, VMware, on-prem | Finance-led governance at scale |
| Apptio Cloudability (IBM) | Financial visibility | No (recommend-only) | AWS, Azure, GCP | FinOps reporting and rate optimization |
| CloudZero | Unit-cost mapping | No | AWS, Azure, GCP, K8s, Snowflake, Databricks, Datadog | Cloud COGS and unit economics |
| Vantage | Cost visibility | Limited | 20+ incl. AWS, Azure, GCP, K8s, Snowflake, Databricks, Datadog | Fast multi-provider visibility |
| Kubecost (IBM) | Kubernetes-level | Limited (Kubernetes only) | Kubernetes (any cloud) | Kubernetes-concentrated spend |
| ProsperOps (Flexera) | Rate and commitment | Yes (commitments only) | AWS, Azure, GCP | Discount and commitment automation |
1. PointFive
Finds infrastructure waste at depth, then ships the fix. PointFive detects across 500+ optimization types and 85+ services, spanning AWS, Azure, GCP, OCI, Kubernetes, Snowflake, and Databricks, and reaches waste that sits below the top-line dashboard, then turns each finding into an auditable change through agentic remediation.
- Automated remediation: each finding becomes an auditable pull request (Terraform or GitHub) with a clear owner, human in the loop before anything consequential, then PointFive verifies the realized savings against the bill.
- Every finding ties to a line, a commit, and an owner. No claim without a receipt.
- Agentless, read-only connection. Connect an integration to start.
- Nubank reached ROI in 10 days, with an average customer ROI exceeding 1,200%.
Best for: engineering-led teams who have to ship the fix, not just read the report.
2. CloudHealth (by Broadcom)
One of the longest-running multi-cloud cost and governance platforms, now part of Broadcom as Tanzu CloudHealth, strong on reporting, policy enforcement, and chargeback across AWS, Azure, GCP, Oracle, VMware, and on-prem. It suits large enterprises with a dedicated FinOps function that needs consistent allocation and budget governance across many business units. It can enforce policy-driven actions such as terminating idle resources and budget guardrails, but these are approval-gated and often lean on external tooling, so most remediation still lands on engineering.
Best for: finance-led governance at enterprise scale.
3. Apptio Cloudability (IBM)
A mature FinOps platform focused on cost visibility, budgeting, forecasting, and rate optimization, with close alignment to the FinOps Foundation framework. It is well suited to organizations standardizing reporting and commitment coverage across teams. Its depth is in the financial view; engineering-level waste detection and automated remediation are not its center of gravity.
Best for: organizations standardizing on FinOps reporting and rate optimization.
4. CloudZero
Maps spend to engineering and business metrics, with strong cost-per-unit and cost-per-customer views that connect the bill to product economics. Its AnyCost ingestion reaches well beyond the big three clouds, covering Kubernetes, Snowflake, Databricks, Datadog, and AI provider spend, which is a real strength for unit economics. Teams use it to understand cost rather than to hunt and fix waste directly, so expect clear allocation and insight, with the fix left to your team.
Best for: teams that want cloud COGS tied to product and customer economics.
5. Vantage
Fast to set up, with unusually broad provider coverage: 20+ integrations spanning AWS, Azure, GCP, Kubernetes, Snowflake, Databricks, Datadog, and more. Its Autopilot can automatically purchase AWS Savings Plans, and a newer FinOps agent surfaces and optionally applies fixes, but broad auto-remediation is still emerging. Reporting breadth is the main draw.
Best for: teams wanting quick, wide multi-provider visibility.
6. Kubecost
Kubernetes-native cost allocation and monitoring, giving per-namespace, per-workload, and per-team cost breakdowns inside a cluster. It is the natural choice when the majority of spend lives in Kubernetes and you need granular allocation there. Coverage is concentrated on Kubernetes, so it pairs best with a broader tool for the rest of the estate.
Best for: teams whose spend is concentrated in Kubernetes.
7. ProsperOps
Now part of Flexera (acquired January 2026), ProsperOps automates commitment management, dynamically adjusting Reserved Instances, Savings Plans, and GCP CUDs to maximize discount coverage on committed spend across AWS, Azure, and GCP. It optimizes the rate you pay rather than the resources you run, which makes it complementary to usage-side optimization rather than a replacement. Value is highest for steady, committed workloads.
Best for: automating discount and commitment coverage on predictable spend.
How to choose
Ask three questions of any tool:
- How deep does detection go: the surface dashboard, or the waste beneath it?
- Does it stop at a recommendation, or ship a merged, auditable fix?
- Does it cover AWS, Azure, GCP, and Kubernetes in one view?
A finding without a fix is gossip. Pick the tool that closes the loop.
Frequently asked questions
Is it worth paying for a cloud cost tool, or can I just use AWS Cost Explorer?
Cost Explorer shows the bill for one account. A dedicated tool finds the waste behind the bill and, in PointFive's case, ships the fix. At scale, the manual cleanup a native dashboard leaves behind costs more than the tool.
What is the best cloud cost tool for engineering teams, not finance?
Look for detection tied to a line, a commit, and an owner, plus remediation that lands as a pull request. That is where PointFive is built for engineers rather than reporting for finance.
Which cloud cost tool actually fixes waste instead of just reporting it?
Most tools stop at a recommendation. PointFive closes the loop with automated remediation, and ProsperOps automates commitments only.
What is the best cloud cost tool for a company with 50 or more AWS accounts?
Prioritize consolidated multi-account detection and automated remediation over per-account dashboards, so waste is found and fixed once across the estate rather than chased account by account.