Parsivex
Parsivex is an AWS cost optimization and waste detection platform for engineering teams who own their cloud bill.
Most AWS waste is mundane: an RDS instance nobody switched off, unattached EBS volumes, a NAT Gateway routing traffic that no longer exists, EC2 instances sized for a load test two years ago. Cost Explorer tells you the bill went up. It doesn't tell you what to delete.
Parsivex connects through a read-only IAM role, with no agents and no write access, and scans for concrete waste: idle EC2, RDS and load balancers, orphaned snapshots and Elastic IPs, over-provisioned compute, and untagged resources. Every finding includes the resource ID, region, estimated monthly saving, and why it was flagged, so an engineer can verify and act without a second investigation.
Scans re-run on a schedule and flag cost anomalies while the spend is still small. Multi-region from one dashboard.
No sales call. Start a free scan and get your first report in minutes.
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Adaptive6
Adaptive6 is a cloud cost governance and optimization platform that helps organizations detect, remediate, and prevent waste in both cloud infrastructure and code. It continuously scans multi-cloud, PaaS, and Infrastructure-as-Code environments to uncover hundreds of inefficiencies, including hidden “shadow waste” beyond obvious cost drivers, and provides engineers with rich context, AI-driven code fixes, remediation scripts, and automated pull requests to accelerate resolution. It embeds shift-left cost guardrails into CI/CD pipelines to proactively flag and prevent inefficiencies before deployment, and automates remediation workflows by identifying resource owners and creating tickets or change requests with technical guidance. With a unified dashboard for visibility, rightsizing recommendations for over-provisioned cloud and Kubernetes resources, policy enforcement, and tools to support cultural accountability, Adaptive6 enables teams to reduce cloud spend.
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Mavvrik
Mavvrik is an AI and hybrid infrastructure cost management platform that gives finance, FinOps, IT, and engineering teams one control center for GenAI, autonomous agents, GPUs, cloud, on-premises systems, Kubernetes, data platforms, and SaaS. It unifies cost, usage, and telemetry signals from AWS, Azure, Google Cloud, Oracle, VMware, NVIDIA, OpenAI, Anthropic, Gemini, Snowflake, Databricks, and LiteLLM, creating a single source of truth across the technology stack. Teams can track every model call, agent interaction, GPU hour, workload, service, and resource, then allocate spending by customer, product, feature, project, application, environment, team, or cost center. Cost-to-serve and unit-economics analysis reveal margin drains, expensive workloads, and the true cost of delivering each offering. Real-time anomaly detection and alerts identify usage before it becomes a budget surprise, while predictive forecasting helps organizations model cloud, GPU, and AI expenses.
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LakeSentry
LakeSentry is cost monitoring and optimization software for teams running Databricks. It connects to your Databricks environment and automatically attributes spend across workspaces, jobs, SQL warehouses, and users, so platform and FinOps teams see exactly where every dollar goes without manual investigation.
Beyond visibility, LakeSentry continuously detects cost anomalies and idle waste, and applies optimization actions through a safe, progressive workflow — shadow mode (recommendations only), then manual approval, then optional
fully automated execution. Delivered as SaaS with a free tier; paid plans are flat monthly, with no per-DBU surcharge and no per-workspace fees.
Feature list:
- Automatic cost attribution across workspaces, jobs, SQL warehouses, users
- Real-time anomaly and idle-waste detection
- Progressive optimization: shadow → manual → autopilot
- Databricks-native: Unity Catalog usage and cluster lifecycle aware
- Flat pricing, unlimited workspaces
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