Pepperdata Capacity Optimizer vs. Amazon EC2 Auto Scaling
A side-by-side comparison based on G2 review data.
| Metric | Pepperdata Capacity Optimizer | Amazon EC2 Auto Scaling |
|---|---|---|
| Overall rating | 4.6 | 4.6 |
| Review count | 39 | 31 |
| Ease of use | 8.9 | 9.1 |
| Ease of setup | 8.7 | 8.5 |
| Quality of support | 9.4 | 9.0 |
| Meets requirements | 9.0 | 9.7 |
| NPS | 69.230769 | 72.413793 |
| Small Business | 12.8% | 45.2% |
| Mid-Market | 15.4% | 12.9% |
| Enterprise | 71.8% | 41.9% |
| Total page views | 245 | 90 |
| Total LLM citations | 181 | 100 |
Pepperdata Capacity Optimizer
Pepperdata Capacity Optimizer is the only real-time, automated cost optimization solution for Spark workloads that can immediately save you up to 47%. By instructing the scheduler to consider the actual resource utilization instead of allocated resources, Capacity Optimizer reclaims waste, maximizes resources utilization, and optimizes autoscaling in the cloud. It operates autonomously, continuously, and in real time to reclaim application waste.
- Performance
- Savings
- Cost Saving
- Resource Management
- Pricing
- Reporting
Amazon EC2 Auto Scaling
Amazon EC2 Auto Scaling is a service that helps maintain application availability by automatically adjusting Amazon EC2 instance capacity to meet changing demand. It enables users to define scaling policies that dynamically add or remove instances based on real-time metrics or predictable schedules, ensuring optimal performance and cost efficiency. Key Features and Functionality: - Automatic Scaling: Seamlessly launches new EC2 instances when demand increases and terminates unneeded instances when demand decreases, optimizing resource utilization.