Pepperdata Capacity Optimizer
39
Reviews
4.6
Star rating
#6
Rank in Auto Scaling
Pros and cons
Pros
- Performance
- Savings
- Cost Saving
- Resource Management
- Pricing
- Reporting
Cons
- Lack of Automation
- Learning Curve
- Limited Reporting
- Limited Availability
- Learning Difficulty
- Poor Recommendations
Traffic & LLM citations
Source: G2 review data
Winning from
Key stats
—
69
Enterprise
5
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 12.8% |
| Mid-Market | 15.4% |
| Enterprise | 71.8% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
Ease of Use8.9
Ease of Setup8.7
Quality of Support9.4
Meets Requirements9.0
What reviewers say
Improves spark report performance and saves overall compute spend.
5.0
“The ease of installation, great dashboards for cost and capacity visibility.”
Saved 75% cost on EMR
5.0
“The capacity optimizer helped us to reduce the wastage on EMR clusters and increased the efficiency. For one of the clusters - the savings was as big as 75%. For others we are seeing atleast 30% savings.”
Save money on your big data workloads
5.0
“The capacity optimizer has been proven to save a lot of money. What I like best about the product, though, is the support we have received throughout our journey of migrating our EMR clusters from EC2 to EKS.”