State of the art of Public Object Storage Europe - Conclusion
Go back to listPerformance
From the testing in the different scenarii, we can assert that performance are very heterogeneous and depend of users' workloads. Our main metrics, request/sec and MB/sec, vary according to object size and the access mode (read or write) making each product really different to each other.
From our observations, we guess several performance profiles:
- Hyperscalers are able to deliver a combination of high level of request/sec and bandwidth
- Object Storage only offer very low pricing
- Market average have a generally propose lower up to equal performance than hyperscalers, but with price advantage.
- Google Cloud delivers a very high bandwidth
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Price
Pricing is also a domain where solutions aren't equal and despite the idea that Object Storage is mainly billed by the amount of GigaBytes stored, other factors design the final cost of a consumption. Here's the main ones:
- Storage
- Requests
- Traffic
- Subscription
The chart below depicts a price estimation for month consumption of 15TB of storage, 10TB of traffic and 100M of requests. We retains the following price profiles:
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