You’ve got data flying everywhere, pipelines that never sleep, and dashboards hungry for real-time accuracy. Then someone says, “Can we hook Fivetran up to Spanner?” and suddenly your calm day turns into a permissions puzzle wrapped in a schema question. Good news: it’s easier than it looks when you think about how these tools actually talk to each other.
Fivetran handles data movement. It’s the faithful courier pulling data from APIs, databases, and SaaS apps into your warehouse. Google Cloud Spanner, on the other hand, is your fortress of consistency—horizontal scaling with relational structure. Combine them and you get near real-time data syncs that don’t lose integrity or sleep. But to make it reliable, you have to line up identity, access, and schema logic carefully.
When you connect Fivetran to Spanner, Fivetran spins up a managed connector that reads and writes using service account credentials. The trick is assigning those credentials the minimum IAM roles—usually roles/spanner.databaseUser and roles/spanner.viewer—so the pipeline can insert and update without escalating privilege. Many teams forget this and add Owner, which is like handing your intern the root password. Don’t.
Before syncing, verify the Spanner schema matches your source data types. Spanner’s strongly typed nature doesn’t like vague mappings, so watch for JSON blobs or unordered nested data. Fivetran does a good job flattening structures, but you can refine that with pre-transformations or view-based extraction to keep target columns predictable.
Quick answer: To connect Fivetran and Spanner, create a service account in Google Cloud IAM, grant it Spanner database access roles, plug the JSON key into your Fivetran connector, and test the sync. The first replication might take time, but future runs only process deltas.