Like-for-like, across clouds
Compare
The same thing, priced by each vendor, on one unit that means the same to all of them. Every figure names the SKUs it was built from and links to them, so you can check the arithmetic rather than take it on trust.
Why these prices can be compared at all
Vendors do not sell the same shape. Google prices a machine's cores and its memory separately; AWS prices the whole instance. So a like-for-like figure is composed — four cores plus sixteen gigabytes on one side, the instance type whose spec is four cores and sixteen gigabytes on the other. Where both vendors publish the same unit already, such as a gigabyte-month of object storage, the comparison is direct. Every result is scoped to one region group and one pricing model, so a committed rate is never held up against an on-demand one.
What are you buying?
Compute
Databases
Storage
Networking
Not enough to compare here
Only Google Cloud publishes something that qualifies for this combination at 2 vCPU · 8 GB in MEA on committed pricing. A one-sided chart is not a comparison, so there isn't one.
How each number was built
The cheapest qualifying configuration per cloud, and the SKUs it is made of
- GCPA2 series3-year commitment$0.0374per hour
Components of the gcp price 2 × Commitment v1: A2 Cpu in Israel for 3 Years unchanged — $0.0122/h 8 × Commitment v1: A2 Ram in Israel for 3 Years unchanged — $0.001632/GiBy.h Cheapest of 1 configuration that qualified · median $0.0374 per hour
No qualifying configuration from AWS under these pivots. Absent, not zero.
Where it is cheapest
Same configuration on committed pricing, by geography
| Region | Google Cloud |
|---|---|
| United States & Canada | $0.0340 |
| Europe | $0.0374 |
| Asia Pacific | $0.0394 |
| Middle East & Africa | $0.0374 |
What a commitment is worth
Same configuration in MEA, by pricing model
| Pricing model | Google Cloud |
|---|---|
| On-demand | $0.0756 |
| Committed | $0.0374−51% |
One- and three-year commitments, reserved instances and savings plans, pooled. Terms differ; read the detail rows.