Global Multi-Cloud Replication in FaunaDB
FaunaDB is a serverless globally distributed cloud database-as-a-service. Other cloud databases offer single-master configurations with global replication or multi-master configurations with continental replication, but only FaunaDB truly supports low latency read and write access from anywhere.
But where does your FaunaDB data actually live? We’re very excited to show you the new cloud status page.
Locations and infrastructure providers
FaunaDB is multi-cloud, with a single cluster spanning AWS and Google Cloud Platform. After all, if you have to worry about your provider’s infrastructure availability, then you’re not really dealing with a truly serverless database. Part of our mission is to insulate applications from infrastructure dependencies. When your data spans public clouds, your applications can use best-of-breed cloud services wherever they are found.
Upcoming Regions
Soon, we’ll expand our cloud to GCP’s Singapore region. This will not affect the latency profile of existing applications: writes to FaunaDB only need to commit to the closest majority of datacenters to maintain consistency. Currently, all data in FaunaDB Cloud is replicated to every region, guaranteeing low latency reads.
Measured region latencies
Later this year we will release dynamic site selection, letting you choose per-database where your data should live, and change it on the fly. Along with that release, we will expand to additional regions, including some in Microsoft Azure. The upcoming regions, subject to change, are:
- Wenya, Singapore (GCP)
- São Paulo, Brazil (GCP)
- Frankfurt, Germany (Azure)
- Toronto, Canada (Azure)
- New South Wales, Australia (Azure)
Cheaper, Faster, Better
A three, five, or even nine datacenter cluster would be prohibitively expensive with any other solution. But in our cloud, it’s not: it’s still paid as you go. You only ever pay for the queries you run and the actual data you choose to store in each region.
FaunaDB is being used by individuals, small companies, and even the Fortune 500. With global availability at serverless pricing, why would you ever use anything else?