GCP Databases in a Nutshell

#Google Cloud #Professional Data Engineer Certfication #Database #Cloud SQL #Bigtable #Spanner #Firestore


This post is part of a series of posts with notes as I’m studying for Google’s Professional Data Engineer Certification.

This particular post covers Cloud Composer in a nutshell.


Please read this disclaimer.


Grouped by Management Model

Managed Services

  • Cloud SQL
  • Cloud Spanner
  • Cloud Bigtable

Serverless Services

  • Cloud Storage
  • Firestore

Grouped by Size/Relationality

Size of Data:SmallLarge
RelationalCloud SQLSpanner*

* The option of using processing units as the means of calculating cost for Spanner makes it a better option for smaller solutions ** Firestore can handle large amounts of data too when provisioned correctly, but it can be used for small applications where-as Bigtable really isn’t/shouldn’t be used for small use-cases

Grouped by Proprietary-ness

Google Proprietary

  • Spanner
  • Firestore


(data in these systems could be easily transfered on-prem. or to a diff. cloud provider)

  • SQL
  • Bigtable (h-base compatible)

Transaction Support

ACID Transactions

  • SQL
  • Spanner
  • Firestore

Row-Level Transactions

  • Bigtable