CAST AI vs. Usage AI Comparison Chart

Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts.

RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.

Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm uses our high-performance streaming and secure isolation technology to provide web-native Desktop as a Service (DaaS), application streaming, and secure/private web browsing. Kasm is not just a service; it is a highly configurable platform with a robust developer API and devops-enabled workflows that can be customized for your use-case, at any scale. Workspaces can be deployed in the cloud (Public or Private), on-premise (Including Air-Gapped Networks or your Homelab), or in a hybrid configuration.

Wiz is a new approach to cloud security that finds the most critical risks and infiltration vectors with complete coverage across the full stack of multi-cloud environments. Find all lateral movement risks such as private keys used to access both development and production environments. Scan for vulnerable and unpatched operating systems, installed software, and code libraries in your workloads prioritized by risk. Get a complete and up-to-date inventory of all services and software in your cloud environments including the version and package. Identify all keys located on your workloads cross referenced with the privileges they have in your cloud environment. See which resources are publicly exposed to the internet based on a full analysis of your cloud network, even those behind multiple hops. Assess the configuration of cloud infrastructure, Kubernetes, and VM operating systems against your baselines and industry best practices.

CloudZero is the leader in proactive cloud cost efficiency. We enable engineers to build cost-efficient software without slowing down innovation. CloudZero's next-generation cloud cost optimization platform automates the collection, allocation, and analysis of cloud costs to uncover savings opportunities and improve unit economics. We are the only platform that enables companies to understand 100% of their operational cloud spend and take an engineering-led approach to optimizing that spend. CloudZero is used by industry leaders worldwide, such as Coinbase, Klaviyo, Miro, Nubank, and Rapid7.

FinOpsly is the Value-Control™ platform for Cloud, Data, and AI economics. It helps enterprises move beyond cost visibility to actively control spend and business outcomes through explainable, policy-governed AI automation. Unlike reporting-only FinOps tools, FinOpsly unifies cloud (AWS, Azure, GCP), data (Snowflake, Databricks, BigQuery), and AI costs into a single system of action — enabling teams to plan spend before it happens, automate optimization safely, and prove value in weeks, not quarters. FinOpsly enables enterprises to: Map spend to business value across products, teams, customers, and workloads Explain cost drivers clearly with AI-generated context and root-cause analysis Automate optimization safely using policy-driven, explainable agents Prevent drift and overages before they impact budgets or performance

Chainguard Containers are a guarded catalog of 1,700+ minimal, zero-CVE container images with a best-in-class CVE remediation SLA (7 days for critical severity, 14 days for high, medium and low) that helps customers build and deploy software better. Modern software development practices and deployment pipelines require secure, up-to-date containerized applications for cloud-native applications. Chainguard builds minimal images continuously from source in our hardened build infrastructure, with only the components required to build and run your applications. Aimed at engineering organizations and security teams alike, Chainguard Containers reduce costly engineering toil around vulnerability management, enhance the security posture of applications by eliminating attack surface, and unlock revenue by simplifying compliance with key frameworks and customer requirements.

Cycloid is the unified Internal Developer Portal and Platform, made for platform engineering done right. Accelerate your platform engineering adoption from years to weeks, optimize the developer experience and operational efficiency by accelerating the delivery of a developer portal and platform, lighten the cognitive load on IT teams, and advocate for FinOps & Green IT practices. With a GitOps first approach, Cycloid is the single source of truth for your organization. Sovereign by design, we help you take control of your cloud choices and data, ensuring security, compliance, flexibility, and freedom from vendor lock-in at every step. And with GreenIT practices at our core, you'll build an efficient, responsible, and future-proof reality. We are the editor of OSS projects TerraCognita: reverse Terraform; InfraMap: infra diagram; and Terracost: cost estimation. We work with global organizations, US and European public institutions and 6 of the top 10 SI service providers.

JS7 JobScheduler is an Open Source workload automation system designed for performance, resilience and security. It provides unlimited performance for parallel execution of jobs and workflows. JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API. Platforms - Cloud scheduling from Containers for Docker®, Kubernetes®, OpenShift® etc. - True multi-platform scheduling on premises for Windows®, Linux®, AIX®, Solaris®, macOS® etc. - Hybrid use for cloud and on premises User Interface - Modern, no-code GUI for inventory management, monitoring and control with web browsers - Near real-time information brings immediate visibility of status changes and log output of jobs and workflows - Multi-client capability, role based access management High Availability - Redundancy and Resilience based on asynchronous design and autonomous Agents - Clustering for all JS7 products, automatic fail-over and manual switch-over

Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system.