nOps

Name: nOps
Brand: nOps

nOps provides automated cloud cost optimization and comprehensive visibility solutions for AWS, GCP, and Azure.

Est 2017|Valuation $88.9M|Raised $40.1M|42 Ref Customers

LinkedIn 35K|Web traffic 13K|FTEs 172|HQ San Francisco, California, US

MarketsCloud Management & FinOps Cloud Cost Management

01Competitive Landscape

Narrative analysis

- nOps vs CAST AI: CAST AI is positioned around Kubernetes optimization across EKS/GKE/AKS and publishes clear pricing. nOps focuses on AWS commitments and organization-wide allocation/optimization. If the primary pain is EKS scheduling/autoscaling and multi-cloud optionality is required, CAST AI may be preferable; if commitments management and AWS-wide allocation/optimization are the top priority, nOps may be a closer fit. - nOps vs Harness CCM: Harness CCM provides broader multi-cloud FinOps and governance features. nOps is more specialized in AWS cost optimization and commitments/compute automation. Buyers who require unified governance across AWS/Azure/GCP may prefer Harness. - nOps vs Apptio Cloudability: Cloudability is a common enterprise FinOps choice for cross-cloud allocation and reporting; it is typically quote-based and can be more expensive. nOps may compete by emphasizing automation and faster time-to-value for AWS-centric use cases.

Customer evidence comparing to competitors

In the materials reviewed, explicit buyer comparisons naming a competitor were limited. Reviews frequently imply replacing manual RI/SP management and reducing engineering toil—suggesting nOps often competes with DIY approaches and AWS-native tooling.

	nOps	CAST AI	Harness Cloud Cost Management
Starting Price	Not publicly itemized; fixed fee (based on spend) for visibility + share-of-savings for rate optimization	Offers a free tier for monitoring; paid growth tiers with monthly and per-CPU components (public pricing page describes tiered plans)	Free tier available up to a stated usage threshold; enterprise offerings are quote-based
Best For	AWS-first organizations wanting commitment + compute automation and FinOps workflows	Kubernetes-heavy organizations across clouds needing cluster autoscaling/optimization	Organizations wanting multi-cloud cost governance + automation (incl. policy/governance-as-code)
Key Strength	Focus on AWS commitments and compute optimization; customer support quality cited in reviews; Marketplace procurement option	Transparent entry pricing and strong Kubernetes optimization focus; multi-cloud K8s support	Broader governance features (policies, budgets, anomaly detection, autostopping) across clouds
Key Weakness	IAM permission concerns; some reporting behind add-ons; AWS focus may limit multi-cloud needs	Primarily Kubernetes-oriented; may not cover broader AWS service-level FinOps needs as deeply	Complexity and cost at scale can be higher; enterprise plan needed beyond thresholds

01Competitive Landscape

Narrative analysis

nOps vs CAST AI: CAST AI is positioned around Kubernetes optimization across EKS/GKE/AKS and publishes clear pricing. nOps focuses on AWS commitments and organization-wide allocation/optimization. If the primary pain is EKS scheduling/autoscaling and multi-cloud optionality is required, CAST AI may be preferable; if commitments management and AWS-wide allocation/optimization are the top priority, nOps may be a closer fit.
nOps vs Harness CCM: Harness CCM provides broader multi-cloud FinOps and governance features. nOps is more specialized in AWS cost optimization and commitments/compute automation. Buyers who require unified governance across AWS/Azure/GCP may prefer Harness.
nOps vs Apptio Cloudability: Cloudability is a common enterprise FinOps choice for cross-cloud allocation and reporting; it is typically quote-based and can be more expensive. nOps may compete by emphasizing automation and faster time-to-value for AWS-centric use cases.

Customer evidence comparing to competitors

	nOps	CAST AI	Harness Cloud Cost Management
Starting Price	Not publicly itemized; fixed fee (based on spend) for visibility + share-of-savings for rate optimization	Offers a free tier for monitoring; paid growth tiers with monthly and per-CPU components (public pricing page describes tiered plans)	Free tier available up to a stated usage threshold; enterprise offerings are quote-based
Best For	AWS-first organizations wanting commitment + compute automation and FinOps workflows	Kubernetes-heavy organizations across clouds needing cluster autoscaling/optimization	Organizations wanting multi-cloud cost governance + automation (incl. policy/governance-as-code)
Key Strength	Focus on AWS commitments and compute optimization; customer support quality cited in reviews; Marketplace procurement option	Transparent entry pricing and strong Kubernetes optimization focus; multi-cloud K8s support	Broader governance features (policies, budgets, anomaly detection, autostopping) across clouds
Key Weakness	IAM permission concerns; some reporting behind add-ons; AWS focus may limit multi-cloud needs	Primarily Kubernetes-oriented; may not cover broader AWS service-level FinOps needs as deeply	Complexity and cost at scale can be higher; enterprise plan needed beyond thresholds