Databases · head to head
Google Cloud SQL vs Mode

Google Cloud SQL
Databases
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; Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- They diverge on capability: Google Cloud SQL covers High Availability, Mode covers SQL Editor.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Google Cloud SQL and Mode actually diverge.
| Attribute | Google Cloud SQL | Mode |
|---|---|---|
| Pricing model | usage-based | subscription |
| Platforms | Google Cloud Platform | Web |
| Category | Databases | Business Intelligence |
| Founded | 2008 | 2013 |
Identical on both: starting price (Free), free tier (Yes), 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 Google Cloud SQL
- High Availability
- Automated Backups
- Point-in-time Recovery
- Encryption
- Regional/Zonal Instances
- Read Replicas
- Private IP
- Dataflow
Only in Mode
- SQL Editor
- Python/R Notebooks
- Interactive Reports
- Version Control
- Scheduling
- Snowflake
- Redshift
- PostgreSQL
Both cover
- BigQuery
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Google Cloud SQL
- Transaction processingnot Mode
- Data storagenot Mode
- Application backendnot Mode
- Reportingnot Mode
- Data analyticsnot Mode
Mode
- Self-service analyticsnot Google Cloud SQL
- Data explorationnot Google Cloud SQL
- Ad-hoc reportingnot Google Cloud SQL
- Collaborative analysisnot Google Cloud SQL
- Embedded analyticsnot 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
Mode
- Free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- Requires SQL knowledge for most analysis tasks, creating dependency on technical resources
- Paid plan pricing not publicly listed; requires sales consultation
- Recently acquired by ThoughtSpot in 2026, creating product direction uncertainty
- Limited customization options for visual aspects and embedded analytics
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
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/month
- Advanced Visualizations
- Collaboration
- Integrations
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 Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Questions people ask
- Is Google Cloud SQL or Mode better?
- Neither clearly leads. Google Cloud SQL starts at Free and Mode at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Cloud SQL or Mode?
- Google Cloud SQL starts at Free and Mode at Free.
- Does Google Cloud SQL or Mode run on more platforms?
- Google Cloud SQL runs on Google Cloud Platform. Mode runs on 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 Mode is typically brought in for.
- What can Google Cloud SQL do that Mode cannot?
- Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption. Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control. Both handle BigQuery, 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.
SourceMode: What languages does Mode support for analysis?
Mode notebooks support SQL, Python (3.11 with pandas, NumPy, scikit-learn, matplotlib), and R (4.2.0 with ggplot2, dplyr, tidyr). Both Python and R allow additional library installation at runtime.
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.
SourceMode: Can I integrate Mode notebook results into reports?
Yes. Mode allows adding notebook cell results directly to reports, with synchronized scheduling so reports re-run to keep data current.
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.
SourceMode: Does Mode support collaborative analysis?
Yes. Mode notebooks provide moveable code blocks and markdown cells enabling exploratory analysis and team collaboration on data queries and visualizations.
SourceRelated pages
More on Google Cloud SQL
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- Mode vs Amazon RDS
- Mode vs Azure SQL
- Mode vs Cockroach Labs
- Mode vs Aiven
- Mode vs PostgreSQL
- Mode vs MariaDB
- Mode vs DataStax
- Mode vs FaunaDB
- Mode vs ArangoDB
- Mode vs Canary Labs
- Mode vs Chroma
- Mode vs Cloudinary
- Mode vs Convex
- Mode vs Dgraph
- Mode vs Amazon Aurora
- Mode vs Microsoft SQL Server
- Mode vs Amazon Redshift
- Mode vs CosmosDB
- Mode vs Periscope Data
- Mode vs Domo
- Mode vs Fabi
- Mode vs Deepnote
- Mode vs Yellowfin
- Mode vs TIBCO Spotfire
- Mode vs Hex
- Mode vs GoodData
- Mode vs Grow
- Mode vs Qlik Sense
- Mode vs Cube
- Mode vs Cyfe
- Mode vs Geckoboard
- Mode vs Google Data Studio
- Mode vs Lightdash
- Mode vs Oracle Analytics Cloud

