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Comment by wsh91 | Hacker News Reader

Again, neat stuff, but that's not what this link claims:

  * The first serverless database
  * The first active-active multi-cloud database
  * The first strongly-consistent multi-region database available to the public

None of these are firsts. I don't know if our (GCP) services are themselves the first of their kind (it's an ambitious claim and, as an engineer, I try to be careful about those), but Datastore meets at least two of those three and predates FaunaDB by several years.

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Maybe the first one.

GCP can't span multiple public cloud providers, or even different continents within GCP, apparently.

Indexes and cross-partition transactions aren't consistent, which doesn't meet, to us, the minimum bar for utility. Your docs say the consistent write throughput per entity group is 1 write per second?

Perhaps I've misunderstood you, but I'm pretty sure cross-partition (I assume you mean cross-entity-group in our terms) transactions are in fact consistent (not totally sure what you mean by transactions being consistent, per se; if you're talking about serializability, at least, we are). Explicitly (from [1]):

  Queries that participate in a transaction are always strongly consistent.

And the consistent write throughput to which you refer means sustainable write throughput per entity group. We can burst much higher.

It would be much easier to assess the relative consistency models of our products if FaunaDB had documentation with respect to its claims. We have a litany of pages about ours (e.g. [2] and [3]).

[1] https://cloud.google.com/datastore/docs/concepts/structuring...

[2] https://cloud.google.com/appengine/articles/transaction_isol...

[3] https://cloud.google.com/datastore/docs/concepts/transaction...

Those docs are coming. I still don't see how you can make any useful claim about consistency when indexes are never isolated or consistent, and sustained consistent write throughput can't exceed 1 wps.

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