Software · head to head
Google Cloud SQL vs DataStax
Google Cloud SQL
Software
Fully managed relational database service for MySQL, PostgreSQL, and SQL Server
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Google Cloud SQL locked into Google Cloud ecosystem with limited cross-cloud portability; DataStax dataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
- They diverge on capability: Google Cloud SQL covers High Availability, DataStax covers Cassandra Compatible.
Where they differ
Only the attributes on which Google Cloud SQL and DataStax actually diverge.
| Attribute | Google Cloud SQL | DataStax |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Google Cloud Platform | Web, Aws, Azure, Gcp |
| Founded | 2008 | 2010 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Google Cloud SQL
- High Availability
- Automated Backups
- Point-in-time Recovery
- Encryption
- Regional/Zonal Instances
- Read Replicas
- Private IP
- BigQuery
Only in DataStax
- Cassandra Compatible
- Vector Search
- Serverless
- Multi-cloud
- Streaming
- CDC
- GraphQL API
- LangChain
Both cover
- Kubernetes
- Web support
- Gcp support
What people use each for
The jobs each tool is most often brought in to do.
Google Cloud SQL
- Transaction processingnot DataStax
- Data storagenot DataStax
- Application backendnot DataStax
- Reportingnot DataStax
- Data analyticsnot DataStax
DataStax
- Real-time applicationsnot Google Cloud SQL
- Content managementnot Google Cloud SQL
- User profilesnot Google Cloud SQL
- Mobile backendsnot Google Cloud SQL
- Cachingnot Google Cloud SQL
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
DataStax
- DataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
- DataStax's Astra DB documentation directs Standard plan customers to IBM's watsonx.data pricing for exact consumption-based rates following the DataStax/IBM deal, rather than publishing them on DataStax's own site
Pricing, plan by plan
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
DataStax
Free- FreeFree
- 5GB storage
- 40M read/write ops
- Vector search
- Pay As You GoFree
- Usage-based pricing
- Multi-region
- Enterprise support
Which should you pick?
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.
Choose DataStax if
- You need cassandra compatible.
- You want to start without paying.
- You work on Web, Aws, Azure, Gcp.
- You also want vector search.
Questions people ask
- Is Google Cloud SQL or DataStax better?
- Neither clearly leads. Google Cloud SQL starts at Free and DataStax at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Cloud SQL or DataStax?
- Google Cloud SQL starts at Free and DataStax at Free.
- Does Google Cloud SQL or DataStax run on more platforms?
- Google Cloud SQL runs on Google Cloud Platform. DataStax runs on Web, Aws, Azure, Gcp.
- Can I use Google Cloud SQL for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Google Cloud SQL best used for?
- Google Cloud SQL is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what DataStax is typically brought in for.
- What can Google Cloud SQL do that DataStax cannot?
- Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption. DataStax covers Cassandra Compatible, Vector Search, Serverless, Multi-cloud. Both handle Kubernetes, Web support, Gcp support.
Answered from the vendors’ own pages
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.
SourceGoogle 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.
SourceGoogle 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