Total Products under this Category: 251
Last updated: November 01, 2026
Why You Can Trust G2's Software Rankings:
G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.
Highlighted products: Cast AI, CloudKeeper, Amazon CloudWatch, Flexera One, ScaleOps, AWS Budgets, Datadog, and Vantage.
Underlying data: [Grid® JSON](https://www.g2.com/categories/cloud-cost-management/grids.json?focus%5B%5D=cast-ai&focus%5B%5D=cloudkeeper&focus%5B%5D=amazon-cloudwatch&focus%5B%5D=flexera-one&focus%5B%5D=scaleops-cloud-native-optimization-scaleops&focus%5B%5D=aws-budgets&focus%5B%5D=datadog&focus%5B%5D=vntg-inc-vantage)
Kaytu improves workload efficiency and reduces the cost of cloud and Kubernetes workloads with intelligent, non-disruptive optimization insights based on usage data.
Krystallizes monthly CloudQoS CSP Index rates and ranks the top four CSPs for service capability and price/performance. This unique insight into baseline performance gives you the confidence to transition and manage applications within your cloud services.
Save up to 90% on monthly cloud bills. Lightwing helps you go from sign up to cost optimized in under 60mins.
Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.
Transform Your Financial Management - Unleash the power of advanced tools with MagicOrange. Elevate your financial management through adaptive cost modeling, predictive analytics, and comprehensive reporting. Seamlessly integrate cloud cost management and enhance budgeting with dynamic forecasting solutions. Gain precision, transparency, and control over your financial operations to drive strategic decision-making and achieve sustainable growth.
Your cloud, optimized with AI. North.cloud is a cloud optimization platform that cuts AWS & GCP bills by up to 50% with our enterprise grade AI-driven automation. No risk, no contracts, and no technical work required.
Actoncloud is a cloud management software that helps to manage and optimize multi-cloud including spending.
NudgeBee is an AI Agents and Agentic Workflow Platform purpose-built for SRE, CloudOps, and DevOps teams. It ships with pre-built AI assistants for incident triage, root cause analysis, FinOps cost optimization, and Kubernetes reliability, ready on day one, with no data ingestion. Teams can also build custom agentic workflows visually, without managing LLMs, guardrails, or audit infrastructure. Deploy in VPC or SaaS. Bring your own model (OpenAI, Claude, Gemini, AWS Bedrock, Ollama). Human-in-the-loop by design. SOC2 Type 2 and ISO 27001 certified. Works with Datadog, Grafana, PagerDuty, Prometheus, Jira, Slack, no rip and replace.
We automate cloud rate optimization on AWS, GCP and Azure.
Opsmeter is an AI Cost & Inference Control platform. It helps teams find what caused AI spend by breaking costs down by endpoint, user/tenant, model, and prompt version, then adds budget alerts and exports for operational control.
Opsolute is an Infrastructure Cost Intelligence platform that helps Engineering, Platform, and FinOps teams understand not just how much they spend on the cloud, but why. By combining cloud billing data (CUR) with live infrastructure metadata across AWS and Kubernetes environments, Opsolute maps the relationships between accounts, services, workloads, teams, tenants, and business hierarchy — turning line-item spend into ownership-aware cost intelligence. This enables organizations to identify true cost drivers, investigate anomalies with sub-15-minute detection, and generate accurate cost attribution across products, customers, teams, and workloads. Beyond visibility, Opsolute goes deeper on service-level optimization patterns than generic FinOps tools. Alongside standard rightsizing and idle resource detection, the platform surfaces: EKS pod- and namespace-level cost attribution with dependency-safe termination recommendations S3 request-tier analysis (GET/PUT/LIST breakdowns and storage-class inefficiencies) NAT Gateway per-AZ traffic hot paths and idle NAT detection ELB per-load-balancer utilization and efficiency scoring RDS burst analysis and over-provisioning detection with rightsizing suggestions Data-transfer flow attribution across services, AZs, and regions Savings Plan and Reserved Instance coverage propagation, with a purchase simulator Spot migration candidate identification with interruption-risk scoring Every recommendation is layered with a dependency-graph safety signal — engineers know which optimizations are safe to apply before they touch production, moving action rates from the industry-average 20% to 70%+. Opsolute also delivers what generic cost tools cannot: cost-per-tenant, cost-per-product, and gross-margin-per-customer unit economics — auto-discovered from your infrastructure without a tagging mandate, and connected to your revenue via five configurable revenue connectors (HTTP, RDS, CSV, MongoDB, push webhook). Combined with ownership-aware anomaly alerting that routes to the team owning the workload, forecast accuracy tracking that CFOs can defend at the board level, and hierarchical showback across departments, teams, and products, Opsolute is the single control center for cloud cost, waste, and unit economics — built for teams that want to optimize confidently, not cautiously.
OPTIMAZE helps businesses connect AI infrastructure costs to business outcomes, giving CTOs, CFOs, and engineering teams a real-time view of which experiments, products, features, and teams are efficient, profitable, or trending in the wrong direction. Most organizations face the same problem: their AI bill grows faster than their ability to explain it. Resources are tagged inconsistently, cost data is stale by the time it reaches decision-makers, and FinOps recommendations sit in engineering backlogs that never get actioned, just like with cloud. The result is a finance team that can't contextualize the bill without manual intervention, an engineering team that can't prioritize optimization, and a CTO who can't answer the CFO's most basic question: is our AI spend generating business value? OPTIMAZE Economics solves this from start to finish. Agentic cost attribution automatically maps every dollar of AI spend to the right cost owner - team, product, feature, or cost center - continuously and in real time, with up to 90% less manual effort than cost attribution approaches. Clean, granular, accurately attributed cost data is the prerequisite for everything else: unit economics, benchmarking, anomaly detection, and commercial optimization. From that foundation, OPTIMAZE delivers real-time unit economics - cost per user, tokens per feature, revenue per AI experiment - so that every team in the organization has the financial context to make better decisions. Engineers understand the cost implications of their model choices. Product managers can weigh the model cost of a feature against its business value. Finance leaders get token cost reporting in business language, not service-level billing aggregates and shared service catch alls. Conversational AI decentralizes that financial intelligence further. Rather than routing every cost question through a central FinOps analyst, any team member can query their cost data in plain language and receive answers grounded in verified attribution data, instantly. This self-service model reduces FinOps overhead significantly while improving the speed and quality of financial decision-making across the organization. OPTIMAZE integrates natively with OpenAI, Anthropic, AWS (including Bedrock), Azure, GCP (including Vertex), Snowflake, and Databricks, bringing cloud infrastructure, AI token costs, and data platform spend into a single economics framework. Predictable pricing ensures customers get increasing value from the platform, opposed to adding to their overhead through a percentage of their cloud bill. A leading financial institution uplifted their cost attribution by 40% in an afternoon, reduced FinOps overhead by 50%, and achieved 20% year-on-year savings through economics management and governance. They regularly achieve up to 90% improvement in time spent on administrative tasks like tagging and reporting.
Nebula's Optimize webtool provides on-demand insights and recommendations in order to optimize usage and costs across the entire Microsoft cloud (M365, Azure, D365). - Suitable for any organization worldwide seeking ultimate control over its Microsoft cloud usage and costs, immediate savings and/or avoidance of unnecessary costs. - Unique, thorough approach. Fully customer funded, without any resell activities or links with Microsoft. Easy to setup, no install, no lock-in. Everything you need to effectively optimize your Microsoft cloud in just one solution.
StormForge Optimize Live continuously rightsizes Kubernetes workloads to ensure cloud-native applications are both cost effective and performant while removing developer toil. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the Kubernetes horizontal pod autoscaler (HPA) at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced machine learning to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing.
