Software · head to head
Google Cloud SQL vs CouchDB
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; CouchDB append-only storage model may have performance implications for certain workloads with high update rates
- They diverge on capability: Google Cloud SQL covers High Availability, CouchDB covers Multi-master Replication.
Where they differ
Only the attributes on which Google Cloud SQL and CouchDB actually diverge.
| Attribute | Google Cloud SQL | CouchDB |
|---|---|---|
| Pricing model | usage-based | open-source |
| Platforms | Google Cloud Platform | Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi |
| Founded | 2008 | 1999 |
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 CouchDB
- Multi-master Replication
- HTTP/JSON API
- MapReduce Views
- ACID Semantics
- Offline-first
- Conflict Resolution
- Fauxton UI
- PouchDB
What people use each for
The jobs each tool is most often brought in to do.
Google Cloud SQL
- Transaction processingnot CouchDB
- Data storagenot CouchDB
- Application backendnot CouchDB
- Reportingnot CouchDB
- Data analyticsnot CouchDB
CouchDB
- Offline-first applications requiring seamless replication across mobile and server environmentsnot Google Cloud SQL
- Multi-master deployments where data consistency eventually resolves across regionsnot Google Cloud SQL
- IoT and edge computing scenarios with intermittent connectivitynot 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
CouchDB
- Append-only storage model may have performance implications for certain workloads with high update rates
- Requires network synchronisation for cluster data consistency; can introduce latency in multi-master scenarios
- No explicit support for complex joins; MapReduce queries may be inefficient compared to relational databases
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
CouchDB
FreeNo published plan breakdown. See the CouchDB review.
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 CouchDB if
- You need multi-master replication.
- You want to start without paying.
- You work on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi.
- You also want http/json api.
Questions people ask
- Is Google Cloud SQL or CouchDB better?
- Neither clearly leads. Google Cloud SQL starts at Free and CouchDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Cloud SQL or CouchDB?
- Google Cloud SQL starts at Free and CouchDB at Free.
- Does Google Cloud SQL or CouchDB run on more platforms?
- Google Cloud SQL runs on Google Cloud Platform. CouchDB runs on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi.
- 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 CouchDB is typically brought in for.
- What can Google Cloud SQL do that CouchDB cannot?
- Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption. CouchDB covers Multi-master Replication, HTTP/JSON API, MapReduce Views, ACID Semantics.
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