Akal Cloud vs AWS Cost Explorer and Cost Optimization Hub

This is not an either/or. Akal Cloud enrols your account into Cost Optimization Hub and Compute Optimizer and ingests everything they find, then adds its own detections on top and switches off the overlapping ones so the same finding never arrives twice. You get AWS's tooling plus the rest, in one place. The rows below are where the AWS tools stop, each checkable against AWS's own documentation rather than our opinion of them.

Akal Cloud Claims checked

Akal Cloud ingests everything AWS's own tools find, then adds 103 detections they do not run.

At a glance

Summary of how Akal Cloud and AWS native tooling compare, capability by capability
Capability Akal Cloud AWS native tooling
AWS's own recommendations Yes No
Detection breadth Yes No
The FinOps agent Yes No
The evidence behind a recommendation Yes No
Extended Support cost, before it starts Yes No
Amazon Bedrock cost by model Yes No
Network cost by resource Yes No
What a finding tells you to do Yes No
Cost of getting the recommendations Yes No
Cost of the tool itself Partial Yes

✓ covered · ~ partial · ✕ not covered. Every row is sourced below, including the ones AWS native tooling wins.

Every row below is sourced to AWS native tooling'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

Akal Cloud compared with AWS native tooling, capability by capability
Capability Akal Cloud AWS native tooling
AWS's own recommendations Akal Cloud is not an alternative to Cost Optimization Hub, it consumes it. We enrol your account, ingest every recommendation the Hub produces (which already consolidates Compute Optimizer and Cost Explorer), and switch off our own overlapping detectors so the same finding never arrives twice. All of them, ingested and deduplicated Yours to run, in their own consoles source
Detection breadth Everything Cost Optimization Hub produces is included here, so its coverage is the floor rather than a rival total. The rest are ours, and they reach services AWS's cost tooling does not look at at all, including Amazon Bedrock, CloudFront, CloudWatch, EMR, Kinesis and DMS. 141 detections across 36 services 8 action types across 25 resource types source
The FinOps agent AWS's FinOps Agent retrieves, filters and files Cost Optimization Hub and Compute Optimizer recommendations into Jira, which is genuinely useful. Those two are also its entire input, so it inherits their coverage exactly: no Extended Support exposure, no Bedrock spend, no network attribution. Ask Akal reasons over all 141 detections and queries your live billing, CloudWatch and CloudTrail data alongside them. Reasons over all 141 detections and your live account Preview, fed by Compute Optimizer and the Hub source
The evidence behind a recommendation Cost Optimization Hub de-duplicates to a single recommendation per resource by default, and its API carries no rank, no performance-risk score and no projected utilization. Compute Optimizer returns up to three ranked options per instance, each with a performance-risk score from 0 to 4. We surface that evidence rather than a bare assertion. Utilization maxima, performance risk and ranked options One recommendation per resource by default source
Extended Support cost, before it starts AWS publishes the rates and enrols you by default; an EKS cluster goes from $0.10 to $0.60 an hour and cannot be opted out once extended support starts. No AWS service prices your exposure in advance: the Hub's supported resources do not include EKS at all, Compute Optimizer flags a deprecated engine version without costing it, and Cost Explorer's ExtendedSupport filter only finds charges you already pay. AWS's own answer is its Extended Support Cost Projection dashboard, which you deploy yourself with CloudFormation, the CUR, the CUDOS stack and QuickSight before it renders a figure. Raised up to a year ahead, priced per month, in the product A dashboard you deploy yourself, or a sample script source
Amazon Bedrock cost by model Bedrock is not a resource type in Cost Optimization Hub, Compute Optimizer or Trusted Advisor, and Cost Explorer has no native model dimension. Grouping by model means creating one tagged application inference profile per model in advance and calling the profile instead of the model. AWS notes profile count can grow quickly, and cost allocation tags are never retroactive. By model out of the box, with a forecast Possible, if you set it up beforehand source
Network cost by resource AWS's CUR data dictionary puts it plainly: the resource ID field “is blank for usage types that aren’t associated with an instantiated host, such as data transfers and API requests”. That is the field any attribution would have to key on. Data transfer, NAT and inter-AZ split by resource, region and AZ Data transfer carries no resource ID source
What a finding tells you to do Compute Optimizer automation covers exactly two action types, both EBS: snapshot-and-delete an unattached volume, and upgrade a volume type. Both support scheduling and rollback. Everything else across the AWS cost tools is a recommendation, and the engineer works out the steps. Console steps and the CLI command for every finding Two EBS actions can be automated; the rest is advice source
Cost of getting the recommendations None of Trusted Advisor's cost-optimization checks are available on the free tier. Cost Optimization Hub is free outside GovCloud and China; Compute Optimizer is free unless you enable enhanced infrastructure metrics, which bill about $0.25 per resource per month; and the Cost Explorer API charges $0.01 per paginated request. Included at every tier Trusted Advisor cost checks need Business Support+ or higher source
Cost of the tool itself Cost Optimization Hub costs nothing to run, and if its coverage matches your estate then it is the right answer and this page is not. Akal Cloud is worth paying for at the point where the 103 detections it adds on top find more than the subscription costs. From $134.10 a month Cost Optimization Hub is free outside GovCloud and China source

When AWS native tooling is the better fit

  • Negotiated rates — Cost Optimization Hub prices every recommendation at your actual rates, not list.
  • Stranded commitment — It models the Savings Plan and Reserved Instance spend a change would leave unused.
  • Free — Cost Optimization Hub and Compute Optimizer cost nothing outside GovCloud and China.
  • Anomaly detection — Free and machine-learning based, with CloudTrail attribution for a spike.
  • Performance risk — Compute Optimizer scores the risk of each recommended size from real CloudWatch metrics.

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