Pepperdata Capacity Optimizer vs. AWS Auto Scaling
A side-by-side comparison based on G2 review data.
| Metric | Pepperdata Capacity Optimizer | AWS Auto Scaling |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 39 | 257 |
| Ease of use | 8.9 | 8.9 |
| Ease of setup | 8.7 | 8.8 |
| Quality of support | 9.4 | 9.0 |
| Meets requirements | 9.0 | 9.2 |
| NPS | 69.230769 | 70 |
| Small Business | 12.8% | 24.5% |
| Mid-Market | 15.4% | 35.0% |
| Enterprise | 71.8% | 40.5% |
| Total page views | 245 | 160 |
| Total LLM citations | 181 | 473 |
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
AWS Auto Scaling
Amazon EC2 Auto Scaling helps you maintain application availability and allows you to dynamically scale your Amazon EC2 capacity up or down automatically according to conditions you define. You can use Amazon EC2 Auto Scaling for fleet management of EC2 instances to help maintain the health and availability of your fleet and ensure that you are running your desired number of Amazon EC2 instances.
- Scaling
- Auto Scaling
- Cost-Effective
- Features
- User Interface
- Performance