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E-Commerce · head to head

Braze vs Google Cloud SQL

Braze logo

Braze

E-Commerce

Customer engagement platform built for the modern marketer

From
On request
Rated
-
Google Cloud SQL logo

Google Cloud SQL

Databases

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server

From
Free
Rated
-

The short version

  • Only Google Cloud SQL has a free tier, so it costs nothing to try first.
  • Each has a real cost: Braze no free tier or monthly billing, requiring annual enterprise contracts with no flexibility; Google Cloud SQL locked into Google Cloud ecosystem with limited cross-cloud portability
  • They diverge on capability: Braze covers Cross-channel messaging, Google Cloud SQL covers High Availability.

Where they differ

Only the attributes on which Braze and Google Cloud SQL actually diverge.

Attributes where Braze and Google Cloud SQL differ
AttributeBrazeGoogle Cloud SQL
Starting priceOn requestFree
Pricing modelquoteusage-based
Free tierNoYes
PlatformsWeb, Ios, Android, ApiGoogle Cloud Platform
CategoryE-CommerceDatabases
Founded20112008

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Braze

  • Cross-channel messaging
  • Customer journey orchestration
  • Real-time personalization
  • A/B testing
  • Predictive analytics
  • Audience segmentation
  • Campaign analytics
  • Content cards

Only in Google Cloud SQL

  • High Availability
  • Automated Backups
  • Point-in-time Recovery
  • Encryption
  • Regional/Zonal Instances
  • Read Replicas
  • Private IP
  • BigQuery

What people use each for

The jobs each tool is most often brought in to do.

Braze

  • Customer engagementnot Google Cloud SQL
  • Marketing automationnot Google Cloud SQL
  • Personalizationnot Google Cloud SQL
  • Retention campaignsnot Google Cloud SQL
  • Cross-channel messagingnot Google Cloud SQL

Google Cloud SQL

  • Transaction processingnot Braze
  • Data storagenot Braze
  • Application backendnot Braze
  • Reportingnot Braze
  • Data analyticsnot Braze

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Braze

  • No free tier or monthly billing, requiring annual enterprise contracts with no flexibility
  • Implementation costs of $20k-$100k+ significantly increase total cost of ownership

Google Cloud SQL

  • Locked into Google Cloud ecosystem with limited cross-cloud portability
  • Pay-as-you-go pricing can become expensive with unpredictable workloads
  • Limited customization options compared to self-managed databases

Pricing, plan by plan

Braze

On request
  • Pro$undefined/month
    • Core messaging channels
    • Basic segmentation
    • Campaign analytics
  • Plus$undefined/month
    • Advanced features
    • Predictive suite
    • Canvas Flow
  • Premier$undefined/month
    • All features
    • Dedicated CSM
    • Custom integrations

Google Cloud SQL

Free
  • Free TierFree
    • db-f1-micro instance
    • 30GB storage
    • Limited usage
  • Standard$25/month
    • High availability
    • Automated backups
    • Point-in-time recovery

Which should you pick?

Choose Braze if

  • You need cross-channel messaging.
  • You work on Web, Ios, Android, Api.
  • You also want customer journey orchestration.

Choose Google Cloud SQL if

  • You need high availability.
  • You want to start without paying.
  • You work on Google Cloud Platform.
  • You also want automated backups.

Questions people ask

Is Braze or Google Cloud SQL better?
Neither clearly leads. Braze starts at On request and Google Cloud SQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Braze or Google Cloud SQL?
Google Cloud SQL has a free tier; the other does not. Paid plans start at On request for Braze and Free for Google Cloud SQL.
Does Braze or Google Cloud SQL run on more platforms?
Braze runs on Web, Ios, Android, Api. Google Cloud SQL runs on Google Cloud Platform.
Can I use Google Cloud SQL for free?
Yes. Google Cloud SQL has a free tier, so you can try it without paying. Braze starts at On request.
What is Braze best used for?
Braze is most often used for customer engagement, marketing automation, personalization, retention campaigns. Of those, customer engagement and marketing automation are not what Google Cloud SQL is typically brought in for.
What can Braze do that Google Cloud SQL cannot?
Braze covers Cross-channel messaging, Customer journey orchestration, Real-time personalization, A/B testing. Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption.

Answered from the vendors’ own pages

Braze: What is Braze's pricing model?

Braze uses a usage-based pricing model with custom annual contracts. There is no free plan or monthly billing. Typical contracts range from $60,000 to $200,000 per year for mid-market deployments.

Source
Google Cloud SQL: What database engines does Google Cloud SQL support?

Google Cloud SQL supports MySQL, PostgreSQL, and SQL Server. Users can choose their preferred engine when provisioning an instance and Google handles automated backups, replication, patching, and scaling.

Source
Braze: Does Braze offer implementation support?

Implementation through a Braze Solutions Partner typically costs $20,000 to $100,000 or more, as Braze is an enterprise platform requiring custom configuration.

Source
Google Cloud SQL: Does Google Cloud SQL have a free tier?

Google Cloud SQL does not have a free tier, though new users receive free trial credits from Google Cloud Platform. Pricing is based on compute resources (CPU and memory) and storage used, with options for committed use discounts.

Source
Braze: What messaging channels does Braze support?

Braze supports push notifications, in-app messaging, email, SMS, and web messaging across mobile apps and web platforms.

Source
Google Cloud SQL: Can Google Cloud SQL scale automatically?

Yes. Cloud SQL automatically scales database storage and compute resources to handle increased workloads without manual intervention, and includes automated backups and high availability configurations.

Source
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