CAST AI
CAST AI is an automated cloud optimization platform that reduces your Kubernetes costs by monitoring clusters and automatically rightsizing resources across AWS, Google Cloud, and Microsoft Azure environments.
Scality
Scality provides software-defined object and file storage solutions designed to help you manage massive amounts of unstructured data across on-premises and multi-cloud environments with absolute data protection.
Quick Comparison
| Feature | CAST AI | Scality |
|---|---|---|
| Website | cast.ai | scality.com |
| Pricing Model | Freemium | Custom |
| Starting Price | Free | Custom Pricing |
| FREE Trial | ✓ 0 days free trial | ✓ 0 days free trial |
| Free Plan | ✓ Has free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2019 | 2009 |
| Headquarters | Miami, USA | San Francisco, USA |
Overview
CAST AI
CAST AI is an automated platform designed to slash your cloud bill without manual intervention. It connects to your Kubernetes clusters and continuously analyzes your workload requirements, automatically selecting the most cost-effective compute instances in real-time. You can stop overprovisioning and start paying only for what you actually use across major providers like AWS, Azure, and GCP.
The platform handles the heavy lifting of infrastructure scaling, spot instance management, and cluster rebalancing. It is built for DevOps teams and platform engineers who need to maintain high performance while keeping cloud expenses under control. You get a clear view of your spending and automated tools to fix inefficiencies instantly, often resulting in savings of over 50% on your monthly cloud compute costs.
Scality
Scality provides software-defined storage solutions that help you manage petabyte-scale data across diverse environments. You can deploy their flagship platform, ARTESCA, for modern cloud-native workloads or use RING for massive enterprise-grade deployments. These tools allow you to bridge the gap between on-premises hardware and public clouds like AWS or Azure, ensuring your data remains accessible and secure regardless of where it lives.
You can protect your organization against ransomware with immutable storage features that prevent unauthorized data deletion or modification. The platform is designed to run on standard x86 servers, giving you the freedom to choose your preferred hardware vendor without being locked into proprietary systems. Whether you are managing medical images, media archives, or backup repositories, you get a unified view of your entire data footprint.
Overview
CAST AI Features
- Automated Rightsizing Automatically adjust your pod resource requests based on real-time usage to eliminate waste and improve application performance.
- Spot Instance Automation Use low-cost spot instances safely with automated fallback to on-demand nodes if capacity becomes unavailable in your region.
- Cluster Autoscaler Scale your clusters up or down instantly based on actual demand using the most cost-efficient node types available.
- Cloud Cost Monitoring Track your cloud spending down to the individual microservice, namespace, or deployment level with real-time visibility dashboards.
- Node Bin Packing Consolidate your workloads onto the fewest possible nodes to maximize resource utilization and reduce your total infrastructure footprint.
- Security Audit Scan your Kubernetes clusters for common misconfigurations and security vulnerabilities to ensure your optimized environment remains fully protected.
Scality Features
- Multi-Cloud Data Management. Manage your data across private and public clouds through a single interface to maintain complete control and visibility.
- Ransomware Protection. Keep your backups safe with S3 Object Lock support that creates immutable copies of your data to prevent encryption.
- Hardware Independence. Run your storage software on any standard x86 server to avoid expensive proprietary hardware and reduce long-term costs.
- S3 API Compatibility. Connect your modern applications easily using industry-standard S3 protocols for seamless integration with existing cloud-native tools.
- Scale-Out Architecture. Expand your storage capacity indefinitely by adding new nodes without interrupting your current operations or losing performance.
- Automated Data Tiering. Move your aging data automatically to lower-cost storage tiers to optimize your budget while keeping important files accessible.
Pricing Comparison
CAST AI Pricing
- Read-only cost monitoring
- Savings estimation report
- Security vulnerability scanning
- Multi-cloud support
- Unlimited clusters
- Everything in Free, plus:
- Automated cost optimization
- Spot instance management
- Automated bin packing
- Standard support
- Predictive autoscaling
Scality Pricing
Pros & Cons
CAST AI
Pros
- Significant immediate reduction in monthly cloud compute spending
- Easy setup process that connects quickly to existing clusters
- Excellent visibility into granular Kubernetes costs and resource waste
- Reliable spot instance management prevents application downtime
Cons
- Requires high-level permissions to automate infrastructure changes
- Learning curve for complex custom scaling policies
- Pricing can be difficult to predict for high-growth startups
Scality
Pros
- Exceptional scalability for petabyte-scale data environments
- Strong S3 API compatibility simplifies application integration
- Reliable ransomware protection through robust immutability features
- Hardware-agnostic approach prevents vendor lock-in effectively
- Excellent performance for high-throughput media and backup workloads
Cons
- Initial configuration requires significant technical expertise
- Management interface can feel complex for smaller teams
- Documentation can be dense for non-specialist users
- Pricing is high for small-scale storage needs