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.
Zerto
Zerto provides a continuous data protection platform that converges disaster recovery, backup, and cloud mobility into a single scalable software solution for virtualized and cloud environments.
Quick Comparison
| Feature | CAST AI | Zerto |
|---|---|---|
| Website | cast.ai | zerto.com |
| Pricing Model | Freemium | Custom |
| Starting Price | Free | Custom Pricing |
| FREE Trial | ✓ 0 days free trial | ✓ 14 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 | Herzliya, Israel |
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.
Zerto
Zerto helps you protect your data and applications across on-premises, hybrid, and multi-cloud environments. Instead of relying on traditional periodic backups that can result in hours of data loss, you can use its continuous data protection to achieve recovery point objectives of seconds. You can easily move workloads between different platforms, such as migrating from VMware to Azure or AWS, without complex reconfiguration.
The platform simplifies your operations by managing disaster recovery and backup through a single interface. You can perform non-disruptive testing to ensure your recovery plans actually work before a real disaster strikes. It scales to meet the needs of large enterprises, protecting thousands of virtual machines while maintaining high availability for your most critical business services.
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.
Zerto Features
- Continuous Data Protection. Capture every change in real-time so you can recover data from seconds ago instead of waiting for the last daily backup.
- Journal-Based Recovery. Rewind your entire environment to a specific point in time to quickly undo the effects of ransomware or accidental deletions.
- Multi-Cloud Mobility. Move your workloads freely between on-premises data centers and public clouds like AWS, Azure, or Google Cloud with ease.
- Automated Orchestration. Automate the entire recovery process including boot ordering and IP re-addressing to bring your applications back online faster.
- Non-Disruptive Testing. Validate your disaster recovery readiness at any time without impacting your production environment or interrupting your daily business operations.
- Analytics and Reporting. Monitor your protection status across all sites and generate compliance reports to prove you can meet your recovery objectives.
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
Zerto 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
Zerto
Pros
- Industry-leading recovery point objectives measured in seconds
- Simple interface makes complex recovery tasks easy
- Excellent support for cross-platform migrations and moves
- Reliable automated testing ensures recovery plans work
- Journaling allows for granular recovery from ransomware
Cons
- Initial setup and configuration requires technical expertise
- Licensing costs can be high for smaller environments
- Requires significant bandwidth for high-change data workloads