Amazon CloudWatch vs. Costory
A side-by-side comparison based on G2 review data.
| Metric | Amazon CloudWatch | Costory |
|---|---|---|
| Overall rating | 4.3 | 4.8 |
| Review count | 403 | 16 |
| Ease of use | 8.4 | 9.2 |
| Ease of setup | 8.7 | 9.2 |
| Quality of support | 8.6 | 10.0 |
| Meets requirements | 8.8 | 9.0 |
| NPS | 54.269972 | 100 |
| Small Business | 28.9% | 18.8% |
| Mid-Market | 30.1% | 68.8% |
| Enterprise | 41.0% | 12.5% |
| Total page views | 461 | 126 |
| Total LLM citations | 710 | 96 |
Amazon CloudWatch
Amazon CloudWatch is a comprehensive monitoring and observability service designed to provide real-time insights into AWS resources, on-premises servers, hybrid environments, and applications. It enables users to collect and track metrics, monitor log files, set alarms, and automatically react to changes in their AWS resources. By offering a unified view of operational health, CloudWatch helps organizations optimize application performance, manage resource utilization, and maintain system reliability.
- Log Management
- Integrations
- Alerting Systems
- Monitoring
- Real-time Monitoring
- Alerting System
Costory
Dashboards got cheap. Context didn't. Ask Claude "why did our AWS bill go up last week?" without Costory and you get 15 plausible answers. Ask it through Costory's MCP endpoint and you get one: the deploy, the team, the service, the baseline. That is the difference between a pipe to billing data and a context layer. Costory is the operator layer that normalizes spend across AWS, GCP, Azure, Datadog, OpenAI, and Anthropic, allocates it to teams, correlates it with deploys and incidents, and exposes it to your AI assistants and the tools your team already uses.
- Ease of Use
- Collaboration
- Response Time
- Customer Support
- Data Centralization
- Insights