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GCP Data Architect Series - Part X

When would you use Cloud SQL vs. Cloud Spanner vs. Bigtable?

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5 minFeb 28, 2026
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GCP Data Architect Series - Part X

this is a classic GCP architecture decision problem. The short answer:

  • Use Cloud SQL for traditional relational apps.

  • Use Cloud Spanner for global, strongly consistent, horizontally scalable relational systems.

  • Use Bigtable for massive, low-latency NoSQL workloads (analytics, IoT, time-series).

Now let’s break it down clearly.


☁️ Cloud SQL

Fully managed relational database (MySQL, PostgreSQL, SQL Server).

When to Use It

  • Standard web/mobile apps

  • SaaS backends

  • E-commerce systems

  • Internal business apps

  • Moderate traffic workloads

  • You need ACID transactions

  • You want familiar SQL behavior

Good For

  • Structured relational data

  • Complex joins

  • Traditional schemas

  • Single-region deployments

  • Up to tens of TB (not petabyte scale)

Not Ideal For

  • Global multi-region writes

  • Massive horizontal scale (millions of writes/sec)


? Cloud Spanner

Globally distributed relational database with strong consistency.

When to Use It

  • Global applications

  • Financial systems

  • High-write distributed systems

  • Mission-critical systems

  • You need horizontal scaling + SQL

Good For

  • Multi-region writes

  • Strong consistency across regions

  • Automatic horizontal scaling

  • High availability (99.999%)

Example Use Cases

  • Global banking systems

  • Global SaaS with users worldwide

  • Large e-commerce platforms

  • Large-scale inventory systems

Why Not Cloud SQL Here?

Cloud SQL scales vertically (bigger machine).
Spanner scales horizontally (adds nodes).


? Bigtable

Petabyte-scale NoSQL wide-column database.

 
 

When to Use It

  • Time-series data

  • IoT telemetry

  • Financial tick data

  • Real-time analytics

  • Ad tech

  • ML feature storage

Good For

  • Billions of rows

  • Millisecond latency

  • Massive write throughput

  • Sparse datasets

  • Event/log data

Not Good For

  • Complex joins

  • Relational queries

  • Traditional OLTP workloads


? Quick Decision Table

FeatureCloud SQLCloud SpannerBigtable
Relational
SQL SupportLimited
Horizontal Scale
Multi-region writesLimited
Strong consistencyEventual (configurable)
Petabyte scale⚠️
Best forTraditional appsGlobal scalable appsMassive NoSQL workloads

? Real-World Scenarios

Scenario 1

Startup building a SaaS product →
Use Cloud SQL


Scenario 2

Global fintech app with users in US, EU, Asia →
Use Cloud Spanner


Scenario 3

IoT platform collecting billions of device readings per day →
Use Bigtable


? Easy Memory Trick

  • Cloud SQL = Traditional

  • Spanner = Global + Scalable + Relational

  • Bigtable = Massive + NoSQL

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