AWS Cost Optimization Tools 2026: 13 Compared

Dave — Wed, 16 Sep 2026 02:24:14 +0000

Disclosure: I work on Akal Cloud, one of the 13 tools here. Every product claim links to that vendor's own site or docs, checked on 13 September 2026; where a vendor publishes nothing, it says so.

Nine of the thirteen tools here are multi-cloud cost platforms, where AWS is one integration among many. If most of your bill is AWS, the questions that decide the choice are how deep a tool goes on AWS itself, what access it needs, how it charges, and how much setup it asks of you. This comparison is organised around those four.

The short answer

Mostly on AWS and want depth: Akal Cloud publishes the largest AWS detection catalogue here, 141 checks across 36 services covering rightsizing, idle resources, modernization and end-of-life, and adds the AWS-specific areas most platforms skip: network cost by resource, EKS cost with no agent (and an optional agent for rightsizing), Amazon Bedrock cost and waste, and Extended Support a year ahead. Akal, the AI FinOps agent, on a flat fee from $134.10 a month.
Zero budget: AWS Cost Optimization Hub and Compute Optimizer, both free.
Cost allocation and unit economics across several clouds: CloudZero, Finout or Vantage.
Commitments bought and managed for you: ProsperOps or nOps.
Kubernetes compute automation: Cast AI. Free self-hosted Kubernetes allocation: IBM Kubecost.
Already standardised on Datadog: Datadog Cloud Cost Management.
Large multi-cloud estates with governance needs: CloudHealth by Broadcom, Flexera One or IBM Cloudability.

What should an AWS team compare?

How deep does it go on AWS itself? The expensive surprises on an AWS bill are AWS-specific: data transfer that carries no resource ID, Transit Gateway charges shared across accounts, EKS, Amazon Bedrock, and Extended Support surcharges on old engine versions. Breadth across many clouds and depth on one cloud pull in different directions.
What access does it need? Tools that buy commitments or change resources need write permissions in your accounts, which means a harder security review. Read-only tools need none.
How does it charge? A percentage of savings grows as the tool reports more savings. A percentage of spend grows with your bill. A flat fee does neither.
What setup does it ask of you? An agent in every Kubernetes cluster, a Legacy CUR export alongside CUR 2.0, VPC Flow Logs or Bedrock invocation logging you pay AWS to store. Each one is work before you see a number.

How deep does each tool go on AWS?

Five tools publish their AWS coverage in enough detail to compare line by line. Counts are as each vendor publishes them, and the sources are in the entries below.

Tool	AWS detections	Network cost	Extended Support	AI cost	AI FinOps agent
AWS native tools	18 recommendation types in Cost Optimization Hub	The CUR resource ID "is blank for usage types that aren't associated with an instantiated host, such as data transfers"	No cost tool covers Extended Support charges	Bedrock absent from Cost Optimization Hub, Compute Optimizer and Trusted Advisor	FinOps Agent, in preview
Akal Cloud	141 across 36 services, 103 built in-house	NAT, Transit Gateway, PrivateLink and egress by resource; inter-AZ by region and zone; Transit Gateway split across accounts	EKS, RDS and ElastiCache flagged up to 365 days ahead, surcharge priced	Bedrock tokens, cost per model, cache hits and forecast; 10 AI detections across Bedrock, SageMaker and Kendra	Akal, over live Cost Explorer, CloudTrail and CloudWatch data, in the browser
Vantage	36 types, 10 from Compute Optimizer	Flow-level reports that need VPC Flow Logs	EKS, ElastiCache and OpenSearch within three months	Bedrock attribution that needs Model Invocation Logging; no AI recommendation types	FinOps Agent chat
CloudZero	66 types, 38 built in-house	NAT Gateway and cross-region data transfer recommendations	EKS and RDS once charges are incurred; OpenSearch and Elasticsearch before	No Bedrock recommendation; one SageMaker Savings Plans recommendation	AI Hub, used from coding tools over MCP
Finout	18 Finout scans plus 29 native AWS types	No NAT or data transfer scan	Detected from billing line items	No Bedrock or SageMaker scan	Billy, which explains cost but does not act

Detection counts as each vendor publishes them, split into what the vendor built and what it ingests from AWS Cost Optimization Hub or Compute Optimizer.

A count is not quality, and a tool with fewer, better-targeted checks can still find more money. What the split shows is how much of each catalogue is the vendor's own work rather than AWS's free recommendations passed through: 29 of Finout's 47 come from AWS, 28 of CloudZero's 66, 10 of Vantage's 36 and 38 of Akal Cloud's 141. You can turn those AWS recommendations on yourself in an afternoon, so the rest is what you are paying the vendor for.

How do the 13 tools compare at a glance?

Tool	Clouds	Pricing	Public prices	Write access	Kubernetes agent
AWS native tools (aws.amazon.com)	AWS	Mostly free; some per-request and support-plan costs	Yes	Limited (EBS automation, budget actions)	Not applicable
Akal Cloud (akalcloud.ai)	AWS	Flat fee by AWS spend, $134.10 to $2,699.10 a month	Yes	No, read-only	Not for EKS cost; optional for rightsizing
Vantage (vantage.sh)	30+ providers	Tiers by tracked spend; Autopilot 5% of savings	Up to $20,000 tracked spend	Yes, for Savings Plans purchases	Yes, by default
CloudZero (cloudzero.com)	AWS, Azure, GCP, Oracle, SaaS and AI	Single subscription, quoted	No	No	Recommended; EKS option without
Finout (finout.io)	AWS, Azure, GCP, OCI, SaaS and AI	Flat annual fee by committed spend tier	No	No	A metrics exporter CronJob over your Prometheus or Datadog
nOps (nops.io)	AWS, Azure, GCP	Fixed fee for visibility; % of realized savings for rate optimization	No	Yes	Yes
ProsperOps (prosperops.com)	AWS, Azure, GCP	% of realized savings	No	Yes, for commitments	Not applicable
CloudHealth by Broadcom (broadcom.com)	AWS, Azure, GCP, Oracle, Alibaba, data center	Quoted	No	Yes, for policy actions	Yes, a collector per cluster
IBM Cloudability (apptio.com)	AWS, Azure, GCP	Quoted	No	For some automation	Yes, per cluster
IBM Kubecost (apptio.com)	Kubernetes	Free tier to 250 cores; Enterprise quoted	Free tier only	On paid tiers	Yes
Cast AI (cast.ai)	Kubernetes (EKS, GKE, AKS, OCI)	Quoted; cost monitoring free	No	Yes	Yes
Datadog CCM (datadoghq.com)	AWS, Azure, GCP, OCI	$5 or $10 per $1,000 of cloud spend a month, annual	Yes	Yes, via Workflows at extra cost	Yes, Datadog Agent
Flexera One (flexera.com)	AWS, Azure, GCP	Quoted	No	Yes, for policies	Yes, for container optimization

On CUR 2.0: CloudHealth and Flexera One state in their docs that they do not support it, nOps requires a Legacy CUR with CUR 2.0 as an optional add-on, and CloudZero's automated setup uses CUR 1.0. Akal Cloud, Datadog and Vantage read CUR 2.0.

1. AWS native tools: the free baseline

What it is:
- Cost Explorer for spend analysis.
- Cost Optimization Hub, which "supports 18 types of AWS cost optimization recommendations" (FAQ).
- Compute Optimizer for rightsizing and idle findings.
- Trusted Advisor cost checks.
Pricing: Cost Optimization Hub and Compute Optimizer are free, and so is Cost Explorer in the console, though its API calls cost $0.01 each. Trusted Advisor cost checks need Business Support+, from $29 a month (pricing).
Watch for:
- No Kubernetes pod or namespace recommendations (supported resources).
- No Amazon Bedrock coverage, and no cost check for RDS or EKS Extended Support (cost checks).
- Data transfer carries no resource ID in the CUR (data dictionary).
- The AWS FinOps Agent is "in preview release".
Best for: everyone, first. Turn them on so every paid tool is measured against a real baseline.

2. Akal Cloud: best for AWS teams that want depth

One cloud, covered properly. The everyday work first: 141 checks across 36 AWS services, 74 of them rightsizing, 44 idle and unused, 18 modernization and 5 end-of-life, each costed and traced to the resource. Then the AWS-specific areas the multi-cloud platforms mostly leave to you: network cost by resource, EKS, Bedrock and Extended Support. Then Akal, the AI FinOps agent, which traces a bill change back to the resource and the API call that started it.

This is the longest entry and the only one with screenshots, because it is the only product I can show you and the only one whose limits I can state without guessing. Weigh it on the sourced claims, not the space. The demos below open without an account but run on a sample account: they show coverage and how a finding is presented, not your numbers.

What it is: an AWS-only cost optimization platform for FinOps and engineering teams, reading billing and usage data through a read-only role. Every finding carries the console steps and CLI command, so engineers can act on it without a FinOps translation layer, and unlimited seats on every tier means finance and engineering read the same numbers.
- 141 detections across 36 AWS services, grouped as 74 right-size, 44 idle and unused, 18 modernization and 5 end-of-life. 103 are built in-house; 38 are ingested from Cost Optimization Hub and deduplicated against ours, so nothing is counted twice. Each finding is costed per month and traced to the resource, with console steps and the CLI command to fix it (demo).
- Network cost: NAT gateways, Transit Gateway attachments, PrivateLink endpoints, internet egress and Network Firewall by resource, inter-AZ transfer by region and zone, and Transit Gateway cost split across the accounts that drove it. From billing data, so no VPC Flow Logs to enable and pay for.
- Kubernetes: EKS cost by namespace, workload and cluster with no agent, from AWS split cost allocation data, with EKS clusters discovered automatically. An optional agent adds requested-versus-used efficiency and rightsizing (demo).
- AI cost: Amazon Bedrock tokens, cost per model, cost per inference, cache hit rates and a forecast, with no invocation logging to enable, plus 10 AI waste detections across Bedrock, SageMaker and Kendra.
- Extended Support: EKS, RDS and ElastiCache versions flagged up to 365 days before the surcharge, priced. For EKS that is $0.10 rising to $0.60 per cluster-hour.
- Akal, the AI FinOps agent, answers why the bill changed by tracing Cost Explorer spend, CloudTrail launch events and CloudWatch utilization to the resource responsible. It runs in the browser, so finance can use it too.

Network cost by resource in Akal Cloud's public demo (sample data).

EKS cost by namespace with no agent installed, from the public demo (sample data).

Pricing: a flat fee by AWS spend, $134.10 to $2,699.10 a month, or about 17% less paid annually (pricing). Starter covers up to $250K a year of AWS spend, Growth to $1M, Scale to $5M, Enterprise above that. Enterprise is the ceiling, so $20M a year of spend costs the same as $5M. Every tier has every feature and unlimited seats, and there is a 90-day trial through AWS Marketplace.
Setup on AWS: a CloudFormation template creates a read-only cross-account IAM role. Connect an AWS Organization once and new accounts join automatically. Reads CUR 2.0 and FOCUS 1.0, and Canadian data residency is available.
Watch for:
- AWS only, by design. The depth above is what that focus pays for, but there is no Azure, Google Cloud or SaaS bill support, so allocation across several clouds needs a second tool.
- Read-only, by design. No write permissions to argue through a security review, and equally no Savings Plan bought and nothing resized for you: commitments arrive as costed recommendations your team acts on.
- The optional agent is only for Kubernetes rightsizing. Cost by namespace and workload needs nothing installed.
Best for: teams running mainly on AWS that want waste, network, Kubernetes, AI and Extended Support in one tool, on a fee that does not move with the bill.

3. Vantage: best for multi-provider reporting with self-serve pricing

What it is: cost reporting across AWS and "30+ Supported Providers" (pricing).
Pricing: free to $2,500 of tracked spend, $30 a month to $7,500, $200 a month to $20,000, then custom. Autopilot "charges only 5% of the savings found".
Setup on AWS: IAM role and CUR; "The Vantage Kubernetes agent is the default, recommended configuration" (docs).
Watch for:
- 36 AWS recommendation types, 10 of them from Compute Optimizer, which you enable yourself (docs).
- Network reports need VPC Flow Logs, where "you incur both S3 storage costs and CloudWatch data ingestion costs on your AWS bill" (docs).
- Bedrock attribution needs Model Invocation Logging enabled first (docs).
Best for: small teams across several providers who want to start self-serve.

4. CloudZero: best for unit economics

What it is: cost allocation across AWS, Azure, GCP, Oracle Cloud and AI and SaaS bills (docs).
Pricing: quote only (pricing).
Setup on AWS: read-only IAM role; automated setup uses CUR 1.0, and CUR 2.0 needs manual setup (docs). Kubernetes recommendations require its agent (docs).
Watch for:
- 66 AWS recommendation types, 28 of them from Cost Optimization Hub or Compute Optimizer, and no Bedrock recommendation (docs).
- EKS and RDS are flagged when "Incurring Extended Support Charges", not before.
Best for: SaaS companies that need cost per customer or per feature for finance.

5. Finout: best for allocation across many bills

What it is: a FinOps platform covering AWS, Azure, GCP, OCI and "40+ other SaaS and AI vendors" (finout.io).
Pricing: quote only, a flat fee by committed spend tier (pricing); yearly contracts, with Kubernetes adding 25% on Business and Pro (pricing file).
Setup on AWS: CUR export and IAM role; Kubernetes metrics from Prometheus or Datadog you already run (docs). Finout calls this "entirely agentless", while the same page sets up a "Finout Metrics Exporter CronJob" to collect from each monitored cluster (Prometheus docs).
Watch for:
- Its 18 Finout scans include no NAT, data transfer, Bedrock or SageMaker check.
- Its assistant "explains your costs but does not act on them" (docs).
Best for: enterprises with messy tags and many bills that want chargeback.

6. nOps: best for automated commitments on AWS

What it is: commitment management and cost visibility across AWS, Azure and GCP.
Pricing: no figures published; rate optimization is "a percentage of savings realized" (pricing).
Setup on AWS: nOps "always requires a Legacy CUR export" (docs); Kubernetes uses "the nOps lightweight agent installed in your cluster" (blog).
Watch for: it buys commitments on your behalf (rate optimization), so it needs write access, and the fee grows with savings.
Best for: AWS teams that want commitments bought for them.

7. ProsperOps: best for hands-off commitment management

What it is: automated commitment management for AWS, Azure and GCP, and "a Flexera company" since an acquisition announced 6 January 2026.
Pricing: "a small percentage of the realized savings" (pricing).
Watch for: its Scheduler does not find idle resources, and leaving triggers "a final Savings Share charge for future-to-be-realized savings of all ProsperOps managed commitments" (pricing).
Best for: teams that want Savings Plans run for them and use another tool for waste.

8. CloudHealth by Broadcom: best for multi-cloud enterprises and MSPs

What it is: a cost and governance platform across AWS, Azure, GCP, Oracle, Alibaba and data centers.
Pricing: not published (broadcom.com).
Setup on AWS: Kubernetes needs a collector in each cluster.
Watch for: "CloudHealth does not support CUR 2.0" (AWS quick start).
Best for: large enterprises and MSPs governing many clouds and data centers.

9. IBM Cloudability: best for formal enterprise FinOps programs

What it is: a FinOps platform across AWS, Azure and GCP.
Pricing: three packages, no prices published (apptio.com).
Setup on AWS: Kubernetes needs its metrics agent, which "is designed to run as a container in each cluster" (GitHub).
Best for: large organisations running FinOps across AWS, Azure and GCP.

10. IBM Kubecost: best for free self-hosted Kubernetes allocation

What it is: Kubernetes cost allocation.
Pricing: "Always free" for "Unlimited clusters up to 250 cores" (product page).
Watch for: built around Kubernetes, and even the SaaS edition "runs the Kubecost agent locally on your Kubernetes clusters".
Best for: platform teams that want Kubernetes allocation they run themselves.

11. Cast AI: best for automated Kubernetes compute savings

What it is: Kubernetes automation for EKS, GKE, AKS and OCI.
Pricing: "Get a custom quote" (pricing); cost monitoring is free.
Watch for: cost monitoring uses list prices, not your bill: "Cast AI uses public pricing, so you don't have to share billing details" (docs).
Best for: EKS-heavy teams that want node and pod changes automated.

12. Datadog Cloud Cost Management: best if you already run Datadog

What it is: cloud cost inside Datadog, across AWS, Azure, GCP and OCI.
Pricing: $5 or $10 per $1,000 of cloud spend a month, billed annually (pricing), so the fee grows with your bill.
Watch for: "Some capabilities, like container cost allocation and compute optimization recommendations, require" other Datadog products (pricing FAQ), and automations "incur additional costs" (docs).
Best for: teams already paying for Datadog monitoring.

13. Flexera One: best for one vendor across cloud cost and commitments

What it is: cloud cost management across AWS, Azure and GCP.
Pricing: not published (flexera.com).
Watch for: "CUR 2.0 is not supported" (AWS setup).
Best for: enterprises that want cloud cost, Kubernetes automation and commitments from one vendor.

Frequently asked questions

What is the best AWS cost optimization tool for teams that run mainly on AWS?

Start with the free native tools, then compare depth. Among the tools that publish their AWS coverage in detail, Akal Cloud has the largest detection catalogue (141 across 36 services) and is the only one combining network cost by resource, EKS cost with no agent (and an optional agent for rightsizing), Amazon Bedrock cost and waste detection, Extended Support warnings a year ahead and Akal, the AI FinOps agent, on a flat fee from $134.10 a month. For unit economics across several clouds, look at CloudZero, Finout or Vantage.

Which AWS cost optimization tools are free?

Cost Explorer's console, Cost Optimization Hub and Compute Optimizer are free. Vantage is free up to $2,500 of tracked spend, IBM Kubecost up to 250 cores, and Cast AI's Kubernetes cost monitoring is free. Akal Cloud has a 90-day free trial on AWS Marketplace.

Which tools charge a flat fee instead of a percentage?

Akal Cloud charges a flat fee by AWS spend, from $134.10 a month and capped at $26,991 a year. Finout charges a quoted flat annual fee. ProsperOps and nOps charge a percentage of realized savings, Vantage takes 5% of savings for Autopilot, and Datadog charges per $1,000 of cloud spend.

Do I need an agent in my Kubernetes cluster?

For most tools, yes: Vantage, nOps, CloudHealth, IBM Cloudability, IBM Kubecost, Cast AI and Datadog all run something in the cluster. Finout describes its integration as agentless, but it still deploys a metrics exporter CronJob that queries the Prometheus you already run. Akal Cloud gets EKS cost by namespace and workload from AWS split cost allocation data with nothing installed, and offers an optional agent for rightsizing.

Which tools show AWS network cost by resource?

Few do, because the CUR gives data transfer no resource ID, so a tool has to reconstruct it. Vantage builds network reports from VPC Flow Logs you pay AWS to collect, and CloudZero has NAT Gateway and cross-region data transfer recommendations. Akal Cloud breaks NAT gateway, Transit Gateway attachment, PrivateLink endpoint and internet egress cost down by resource, and inter-AZ transfer by region and Availability Zone, from billing data alone, and splits Transit Gateway cost across the accounts that drove it.

Which tools track Amazon Bedrock cost and have an AI FinOps agent?

AWS's own optimization tools do not cover Bedrock. Akal Cloud tracks Bedrock tokens, cost per model and a forecast with no logging to enable, detects idle AI resources, and Akal, the AI FinOps agent, explains bill changes from live Cost Explorer, CloudTrail and CloudWatch data. Vantage attributes Bedrock cost once you enable Model Invocation Logging and has a FinOps Agent; CloudZero's AI Hub works from coding tools; Finout's assistant explains costs without acting.

What Bedrock cost tracking looks like when it comes from billing data: tokens, cost per model and a forecast, with no invocation logging to turn on. Akal Cloud's demo, sample data.

How this comparison was checked

Every vendor claim comes from its own website or documentation, checked on 13 September 2026. The screenshots are from Akal Cloud's public demo, which runs on sample data. No other vendor's product screens are shown, because they are not ours to publish. If you work at one of these companies and something is out of date, leave a comment with a link and it will be corrected.

If most of your bill is AWS, take the list of things this comparison says each tool covers and check it against what you are actually paying for: open your own Cost Optimization Hub, then look at your last bill for NAT gateways, Transit Gateway, inter-AZ transfer, EKS, Bedrock and any engine version heading for Extended Support. Whatever your current tool cannot itemise is the gap to shop for.

Akal Cloud's demos open without an account, though they run on a sample account: they show what is covered and how a finding is presented, not your numbers. Your own numbers need the 90-day trial through the AWS Marketplace listing.

DEV Community: Dave