A CloudZero alternative built for AWS waste, not cost allocation
Akal Cloud runs 141 AWS detections, 103 of them built here rather than inherited, and hands each finding to an engineer with the console steps and the command attached. CloudZero is built for a different question: it calls itself the financial control plane for cloud and AI spend, and its strength is allocating that spend by team, product, feature or customer. Both catalogues are published in full, so the coverage rows below compare two counted lists rather than ours against an assumption.
CloudZero tells you what your spend belongs to. Akal Cloud tells you what to switch off.
At a glance
| Capability | Akal Cloud | CloudZero |
|---|---|---|
| Waste detection coverage | Yes | Partial |
| Primary product focus | Yes | Partial |
| Published, flat-rate pricing | Yes | No |
| In-product AI agent | Yes | No |
| Amazon Bedrock cost by model | Yes | No |
| Kubernetes cost allocation | Yes | Partial |
| Multi-cloud coverage | No | Yes |
| Unit economics by customer | No | Yes |
| Transit Gateway (TGW) chargeback | Yes | No |
✓ covered · ~ partial · ✕ not covered. Every row is sourced below, including the ones CloudZero wins.
Every row below is sourced to CloudZero's own documentation and to ours. Start a 90-day free trial or try the live demo and check the grid against your own bill.
Every row, with the evidence
| Capability | Akal Cloud | CloudZero |
|---|---|---|
| Waste detection coverage CloudZero's AWS recommendations page carries a source column on every row: 38 are marked CloudZero, 20 “COH + CO” and 8 “COH”, meaning 28 of the 66 come from AWS Cost Optimization Hub (COH) and Compute Optimizer (CO). Akal Cloud ingests the same AWS source and adds 103 detections of its own, which is 2.7 times CloudZero's proprietary count. | 103 proprietary, plus 38 ingested from AWS, for 141 source | 38 proprietary, plus 28 ingested from AWS, for 66 source |
| Primary product focus CloudZero describes itself as “the financial control plane for your cloud and AI spend”, built on Dimensions, which “break down costs by team, product, feature, environment, or customer”, and Unit Economics. Akal Cloud is built on the detection catalogue, and every finding ships with console steps and a command line interface (CLI) command. | Finding AWS waste, costing it, and attaching the fix | Cost allocation and unit economics source |
| Published, flat-rate pricing CloudZero offers “a single subscription with all capabilities included, aligned to the scale and complexity or your AI or cloud environment”, with no figure, band or formula published, and no free trial. Akal Cloud publishes every rate, banded by AWS spend, with the same product at every tier and a 90-day trial in front of it. | Four published rates, $134.10 to $2,699.10 a month, on AWS Marketplace source | A single subscription, priced by quote source |
| In-product AI agent CloudZero's AI is delivered to engineers already working inside Claude Code, and its optimize-triage skill is documented as “read-only and does not make changes to resources or infrastructure”. Ask Akal runs in the browser for whoever opens the tab, finance included, and queries live billing, CloudWatch and CloudTrail alongside the detections. | In the product, over all 141 detections and live account data source | Thirteen read-only skills in a Claude Code plugin and Model Context Protocol (MCP) server source |
| Amazon Bedrock cost by model CloudZero allocates AI spend broadly, taking in Anthropic, OpenAI, Databricks and Snowflake. Its AWS recommendation list contains exactly one AI entry, a SageMaker Savings Plans purchase, and nothing for Bedrock or inference. Allocating AI spend and detecting waste inside it are different products. | Bedrock spend by model, a forecast, and Bedrock checks in the catalogue source | No Bedrock recommendation among the 66 source |
| Kubernetes cost allocation CloudZero's Kubernetes catalogue is two entries, CPU and memory over-provisioned workload rightsizing, and its docs state that “all Kubernetes recommendations require version 1.2 or later of the CloudZero Agent for Kubernetes”, with at least 50 data points over 30 days. Akal Cloud reads AWS split cost allocation data from the AWS Cost and Usage Report (CUR) for namespace, workload and cluster cost with nothing installed. | Namespace, workload and cluster cost with no agent at all source | Two rightsizing recommendations, both requiring their agent source |
| Multi-cloud coverage Read this row against your own estate. If your spend is spread across clouds and SaaS, CloudZero's breadth decides it and Akal Cloud is not a candidate. If your spend is AWS, that breadth is engineering not spent on AWS depth, and the catalogue counts are 141 against 66. | AWS only, in depth | AWS, Azure, GCP, Oracle, Databricks, Datadog, Snowflake, Anthropic, OpenAI source |
| Unit economics by customer CloudZero's Unit Economics “lets you measure the cost of each unit your business cares about”, and Dimensions allocate spend carrying no tags at all. Akal Cloud has no equivalent. If your board asks what a customer costs to serve, CloudZero answers it and we do not. | Not offered | Cost per customer, feature and product, including untagged spend source |
| Transit Gateway (TGW) chargeback A shared Transit Gateway (TGW) arrives as one lump data-processing charge on the owning account. AWS Flexible Cost Allocation (FCA) re-meters that charge to the source attachment owner, the destination attachment owner or the TGW owner, matched on a five-tuple of addresses, ports and protocol. Akal Cloud configures and reads that. CloudZero's 66 AWS recommendations cover Network Address Translation (NAT) gateways, cross-region transfer and CloudFront bypass, but carry no Transit Gateway entry at all. | Exact, from the bill, via Transit Gateway Flexible Cost Allocation (FCA) source | No Transit Gateway entry in the AWS list source |
When CloudZero is the better fit
- Unit economics — Cost per customer, feature and product. Akal Cloud does not do it.
- Anomaly alerting — On from the moment you connect, hourly. Akal Cloud does not ship it.
- Multi-cloud — Azure, Google Cloud, Oracle, Snowflake and Databricks alongside AWS.
See the evidence
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