You’ve probably done it. We all have. You spin up a new instance on a massive, market-leading cloud provider because it feels safe. You recognize the logo. You trust the ecosystem. But when you check the billing dashboard at the end of the month, you’re hit with a creeping sense of annoyance: you’re paying a premium, but your workloads still feel sluggish.
In the world of cloud computing, you aren’t paying for security; you’re paying for an incredibly expensive security blanket.
We recently ran a raw compute benchmark comparing Exoscale, a smaller European cloud provider, against Tencent Cloud. The results expose a brutal truth about the industry. Exoscale delivered 3.25 times the CPU throughput for 18% less money. That isn’t a rounding error. That’s a fundamental failure of the market.
How does a market-leading giant lose so badly to a smaller player at the raw compute layer? The gap persists because cloud pricing is intentionally opaque. The big vendors rely on your laziness. They know you won’t benchmark your workloads. They serve you older CPU generations or heavily oversubscribed instances, banking on the fact that their brand name will carry the sale.
The market leader sells the ecosystem, while the smaller provider delivers the compute.
This isn’t just about Exoscale being virtuous or Tencent being malicious. It’s about a market inefficient enough to let both coexist. The big names win the sales calls, but the smaller names win the benchmarks. If you are an engineer or a decision-maker blindly renewing contracts with the usual suspects, you are likely funding underpowered infrastructure.
The twist here isn’t that small clouds are a hidden secret—it’s that the big clouds have convinced you not to look. They thrive on vendor lock-in, making it painful to leave even when their raw performance is objectively worse. But raw compute is the foundation of everything you build. If the foundation is cracked, the brand name on the invoice won’t save your application’s latency.
Benchmark your own workloads before you renew that enterprise cloud contract. Because the only thing worse than running slow code is paying a premium to run it.
FAQ
Q: Isn't the big provider slower because they offer more features and redundancy?
A: No. At the raw compute layer, a CPU cycle is a CPU cycle. The performance gap exists because large providers often assign older CPU generations or oversubscribe their hypervisors, relying on brand reputation to mask the shortfall.
Q: What should I actually do with this information?
A: Stop auto-renewing your cloud contracts. Spin up identical instances on a smaller provider and run your own benchmarks. You will likely find you can get more compute for less money.
Q: Is this just a fluke or a one-off bad instance from Tencent?
A: Even if it's a snapshot, it proves the market is highly inefficient. The fact that a smaller provider can legally and commercially offer 3.25x the throughput for less money means the default assumption that 'bigger is better' is fundamentally broken.