What are the best tools for forecasting cloud usage costs?

We are searching for tools to forecast cloud usage costs for our business and came across G2’s Cloud Cost Management category. From reviews and product insights, these five platforms stood out the most:

1. IBM Cloudability – I noticed it offers predictive analytics and budget forecasts that help teams plan for future spend. But did its forecasting models match real-world usage patterns in your experience?
2. CloudKeeper – It emphasizes cost optimization along with forecasting capabilities that show potential savings scenarios. Did it give you enough clarity to adjust budgets proactively?
3. Spendbase – I found it useful for tracking usage trends and generating spend forecasts tailored for finance teams. Did its reporting feel detailed enough to guide your long-term planning?
4. CAST AI – It focuses on optimizing Kubernetes clusters while also projecting future resource needs and costs. Did those forecasts prove reliable when workloads shifted unexpectedly?
5. AWS Budgets – It lets you set thresholds and receive alerts based on projected usage within AWS accounts. Was it flexible enough for forecasting multi-account or multi-team scenarios?

I’d love to hear from the G2 community:

1. Which of these tools gave you the most accurate forecasting for cloud usage
2. How smooth was the adoption curve when aligning forecasts with finance and engineering teams?