That was never stock to begin with, company value has nothing to do with token value. It always was a utility token.
Agree with the rest though, it will take a lot more to bring google down than storj, just based on the size.
So perhaps dual-region google or aws is the way to go – least probability of needing to change things in the future. But then there is cost of risk – paying 3x now for storage to save some time in the future migrating – seems too much money.
There is a subtle distinction between backup and archive. The archive is never expected to be needed, and almost definitely not in its entirety. The pricing reflects that – cheap to get data in, cheap to store, but very expensive to retrieve, and punishable for early deletion.
Google punishes more than Amazon, so give then choice, I would go with Amazon: they also provide 100GB of free egress monthly – and that shall cover the occasional “ooops deleted wrong file” use case. The problem is that because duplicacy does not support data thawing you are limited to instant retrieval classes, and this alone brings cost to over $4/TB/month + overhead, and still provides only single geo location.
At this point storj becomes very attractive.
I think the aversion to migrate in the future should not be a consideration: instead, what’s best for your data today shall be used. In case of storj – if they jack up prices or disappear – I’d just migrate. Switching is not a big deal regardless of technical ability, if you can run duplicacy – you can migrate your data: setup another destination, run duplicacy copy
, done. This can even be done in the Web UI.
My recommendation would be to try a few targets for a few months, see what works best. It does not need to be the cheapest – I’d argue your time setting things is not free and must be factored into everything. And if it turns out Amazon hot storage is the most user friendly – maybe extra cost is worth it. Especially, if you have sub 1TB – cost is irrelevant. It’s all under $10/month anyway
Somewhat relevant article on long term data preservation: