Database & Data Management · head to head
Google Cloud SQL vs Dgraph
Google Cloud SQL
Database & Data Management
Fully managed relational database service for MySQL, PostgreSQL, and SQL Server
- From
- Free
- Rated
- -
Dgraph
Database & Data Management
The only native GraphQL database with graph backend
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Google Cloud SQL locked into Google Cloud ecosystem with limited cross-cloud portability; Dgraph the GitHub repository (dgraph-io/dgraph) is licensed Apache 2.0 with no paid tier, cloud offering, or enterprise edition mentioned anywhere in the README
- They diverge on capability: Google Cloud SQL covers High Availability, Dgraph covers Native GraphQL.
Where they differ
Only the attributes on which Google Cloud SQL and Dgraph actually diverge.
| Attribute | Google Cloud SQL | Dgraph |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Google Cloud Platform | Linux, Mac, Docker, Web |
| Founded | 2008 | 2016 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
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 Dgraph
- Native GraphQL
- Distributed Architecture
- ACID Transactions
- GraphQL Subscriptions
- Full-text Search
- Geolocation Queries
- Horizontal Scaling
- GraphQL
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Google Cloud SQL
- Transaction processingnot Dgraph
- Data storagenot Dgraph
- Application backendnot Dgraph
- Reportingnot Dgraph
- Data analyticsnot Dgraph
Dgraph
- Knowledge graphsnot Google Cloud SQL
- Fraud detectionnot Google Cloud SQL
- Recommendation enginesnot Google Cloud SQL
- Network analysisnot Google Cloud SQL
- Master data managementnot 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
Dgraph
- The GitHub repository (dgraph-io/dgraph) is licensed Apache 2.0 with no paid tier, cloud offering, or enterprise edition mentioned anywhere in the README
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
Dgraph
Free- CommunityFree
- Native GraphQL
- Graph queries
- Full-text search
- Cloud$39/month
- Managed service
- Auto-scaling
- 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 Dgraph if
- You need native graphql.
- You want to start without paying.
- You work on Linux, Mac, Docker, Web.
- You also want distributed architecture.
Questions people ask
- Is Google Cloud SQL or Dgraph better?
- Neither clearly leads. Google Cloud SQL starts at Free and Dgraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Cloud SQL or Dgraph?
- Google Cloud SQL starts at Free and Dgraph at Free.
- Does Google Cloud SQL or Dgraph run on more platforms?
- Google Cloud SQL runs on Google Cloud Platform. Dgraph runs on Linux, Mac, Docker, Web.
- 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 Dgraph is typically brought in for.
- What can Google Cloud SQL do that Dgraph cannot?
- Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption. Dgraph covers Native GraphQL, Distributed Architecture, ACID Transactions, GraphQL Subscriptions. Both handle Web 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