IBM Cloudability vs. Costory
A side-by-side comparison based on G2 review data.
| Metric | IBM Cloudability | Costory |
|---|---|---|
| Overall rating | 4.2 | 4.8 |
| Review count | 216 | 16 |
| Ease of use | 8.4 | 9.2 |
| Ease of setup | 8.1 | 9.2 |
| Quality of support | 8.5 | 10.0 |
| Meets requirements | 8.5 | 9.0 |
| NPS | 42.325581 | 100 |
| Small Business | 14.4% | 18.8% |
| Mid-Market | 18.9% | 68.8% |
| Enterprise | 66.7% | 12.5% |
| Total page views | 1,266 | 126 |
| Total LLM citations | 7,257 | 96 |
IBM Cloudability
IBM Cloudability is built to support the organizational adoption of FinOps—the cultural practice and operational process of bringing financial accountability to the scalable, variable, and distributed nature of cloud and related costs. Its enterprise-grade FinOps features enable IT, finance, and business teams to optimize cloud, AI and Kubernetes costs and communicate the business value of these investments. Cloudability normalizes and structures billing and usage data from across public cloud ecosystems.
- Ease of Use
- Cost Management
- Insights
- Reporting
- Cost Tracking
- Recommendations
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