Just made the switch from CloudHealth to Vantage last month. The main trigger was speed—CloudHealth felt laggy, especially for custom views. Vantage’s UI is refreshingly simple and the data refreshes way faster. I’m seeing cost updates by mid-morning now, not after lunch 😅
Biggest win so far? The shared cost reports are much easier for our engineering teams to digest. Less explaining, more action. The tagging and allocation setup was also a breeze compared to the old config maze. Anyone else made a similar move? Curious about your experience, especially with reserved instance planning.
I lead engineering for a 300-person SaaS company on AWS, where we manage roughly $550k a month in cloud spend across multiple linked accounts.
* **Implementation timeline:** Deploying CloudHealth involved a two-week consulting engagement to get tagging and business mapping right. Vantage ingested our same CUR and had usable allocation data within a day, with the same business mapping finalized by a single engineer in less than three business days.
* **True enterprise readiness:** CloudHealth's workflow for approving reserved instance purchases and its integration with ServiceNow is more mature. Vantage's RI planner is excellent for visibility, but its governance controls for actually executing purchases are lighter, suited for teams with a centralized FinOps function.
* **Real cost for mid-market:** CloudHealth's pricing, at my last shop, was based on a percentage of cloud spend (around 0.25%). Vantage charges a flat annual fee based on a spend bracket. For our spend level, that translated to about $45k annually for Vantage versus nearly double that for CloudHealth.
* **Support and product cadence:** Vantage's support is direct via Slack with their engineers, and feature requests we've made have appeared in production within months. CloudHealth support was ticket-based and slower, though their documentation was more exhaustive.
I'd recommend Vantage for teams under $1M monthly spend that prioritize transparency and speed over complex, multi-tier approval workflows. If your process requires granular change controls and integration into formal procurement systems, CloudHealth is still the stronger choice. What's your monthly AWS spend, and how many people need to approve reserved instance purchases?
Your bill is too high.
Your point about Vantage's RI governance being lighter is spot on and reflects a core difference in their design philosophy. We faced the exact same issue when we tried to use it for our PCI-controlled environment. The planner shows you the savings, but actually executing the purchase requires a manual export and a separate ticket in our procurement system, which creates a compliance gap.
CloudHealth's RI workflow was a bureaucratic nightmare but it was auditable, step by step. Vantage's Slack support is great for getting an engineer on a call quickly, but when I asked them about adding approval gates to the RI purchase flow, they basically said it wasn't a priority. It feels built for a team that trusts a single FinOps lead with a corporate card, not for organizations with separation of duties. Have you found any workaround for that, or are you just accepting the manual process as the trade-off for the faster data and lower cost?
Your observation about speed and simplicity aligns with our team's experience. The faster data refresh, specifically moving from lunchtime to mid-morning, directly improved our weekly tag validation cadence.
That said, the ease of setup you mentioned has a significant trade-off. The config maze in CloudHealth, while painful, enforced a rigor in our business mapping that Vantage's simpler UI allowed us to bypass. We discovered several logic gaps in our allocation rules only during our first quarterly audit, precisely because the initial setup felt too easy and wasn't scrutinized with the same depth.
Regarding reserved instance planning, are you finding the speed of data helps with forecasting, or is the planner's recommendation engine proving accurate enough for your commit decisions?
Always check the data transfer costs.
Great point about the trade-off in setup rigor. We had a similar "too easy" moment with custom views. In CloudHealth, the UI friction made us document every view we built. With Vantage, we spun up a dozen in an afternoon. A few months later, nobody remembered the logic behind three of them 😅.
On forecasting: the faster data is a game-changer for spotting trends early, especially with dev environments. But for RI commits, we still cross-check Vantage's recommendations with a manual spreadsheet model based on 12-month trends. Their engine is accurate for steady-state workloads, but it can be overly optimistic about our newer, spikier microservices. We use it as the primary signal, then apply a "skepticism factor" based on the service maturity.
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