Business Intelligence · head to head
Chartio vs Google Cloud SQL

Chartio
Business Intelligence
Cloud-based data exploration (discontinued)
- From
- On request
- Rated
- -

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: Chartio product was discontinued and sunset on March 1, 2022 after company acquisition by Atlassian; Google Cloud SQL locked into Google Cloud ecosystem with limited cross-cloud portability
- They diverge on capability: Chartio covers Visual Query Builder, Google Cloud SQL covers High Availability.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Chartio and Google Cloud SQL actually diverge.
| Attribute | Chartio | Google Cloud SQL |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | Unknown | usage-based |
| Free tier | No | Yes |
| Platforms | Web | Google Cloud Platform |
| Category | Business Intelligence | Databases |
| Founded | 2010 | 2008 |
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 Chartio
- Visual Query Builder
- Interactive Dashboards
- Data Blending
- Collaboration
- Embedding
- PostgreSQL
- MySQL
- Redshift
Only in Google Cloud SQL
- High Availability
- Automated Backups
- Point-in-time Recovery
- Encryption
- Regional/Zonal Instances
- Read Replicas
- Private IP
- Dataflow
Both cover
- BigQuery
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Chartio
- Drag and drop chart building over SQL databasesnot Google Cloud SQL
- Shared business dashboards for non-technical teamsnot Google Cloud SQL
- Exploring warehouse data without writing SQLnot Google Cloud SQL
Google Cloud SQL
- Transaction processingnot Chartio
- Data storagenot Chartio
- Application backendnot Chartio
- Reportingnot Chartio
- Data analyticsnot Chartio
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Chartio
- Product was discontinued and sunset on March 1, 2022 after company acquisition by Atlassian
- No current pricing available as service no longer operates
- Users were migrated to alternative Atlassian solutions
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
Chartio
On request- DiscontinuedFree
- Service ended March 2022
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 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 Chartio or Google Cloud SQL better?
- Neither clearly leads. Chartio 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, Chartio or Google Cloud SQL?
- Google Cloud SQL has a free tier; the other does not. Paid plans start at On request for Chartio and Free for Google Cloud SQL.
- Does Chartio or Google Cloud SQL run on more platforms?
- Chartio runs on Web. 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. Chartio starts at On request.
- What is Chartio best used for?
- Chartio is most often used for drag and drop chart building over sql databases, shared business dashboards for non-technical teams, exploring warehouse data without writing sql. Of those, drag and drop chart building over sql databases and shared business dashboards for non-technical teams are not what Google Cloud SQL is typically brought in for.
- What can Chartio do that Google Cloud SQL cannot?
- Chartio covers Visual Query Builder, Interactive Dashboards, Data Blending, Collaboration. Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption. Both handle BigQuery, Web support.
Answered from the vendors’ own pages
Chartio: Is Chartio still available?
No, Chartio was discontinued on March 1, 2022. The product was acquired by Atlassian and the service was shut down. Users were offered migration to alternative solutions.
SourceGoogle 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.
SourceChartio: What should I use instead of Chartio after its discontinuation?
Atlassian, which acquired Chartio, recommends users migrate to other data visualization and business intelligence tools within the Atlassian ecosystem or compatible alternatives.
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.
SourceChartio: Can I still access Chartio's pricing information?
No, historical pricing is not relevant as Chartio ceased operations in March 2022. Any archived pricing information would not reflect current market options.
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.
SourceRelated pages
More on Google Cloud SQL
Other head to heads
- Chartio vs Power BI
- Chartio vs Amazon QuickSight
- Chartio vs Sisense
- Chartio vs MicroStrategy
- Chartio vs Domo
- Chartio vs Oracle Analytics Cloud
- Chartio vs Preset
- Chartio vs Qlik Sense
- Chartio vs Klipfolio
- Chartio vs Databox
- Chartio vs Cube
- Chartio vs Cyfe
- Chartio vs Evidence
- Chartio vs Geckoboard
- Chartio vs Google Data Studio
- Chartio vs Grow
- Chartio vs Lightdash
- Chartio vs Mode
- Chartio vs Amazon RDS
- Chartio vs Azure SQL
- Chartio vs Cockroach Labs
- Chartio vs Aiven
- Chartio vs PostgreSQL
- Chartio vs MariaDB
- Chartio vs DataStax
- Chartio vs FaunaDB
- Chartio vs ArangoDB
- Chartio vs Canary Labs
- Chartio vs Chroma
- Chartio vs Cloudinary
- Chartio vs Convex
- Chartio vs Dgraph
- Chartio vs Amazon Aurora
- Chartio vs Microsoft SQL Server
- Chartio vs Amazon Redshift
- Chartio vs CosmosDB
- Google Cloud SQL vs Power BI
- Google Cloud SQL vs Amazon QuickSight
- Google Cloud SQL vs Sisense
- Google Cloud SQL vs MicroStrategy
- Google Cloud SQL vs Domo
- Google Cloud SQL vs Oracle Analytics Cloud
- Google Cloud SQL vs Preset
- Google Cloud SQL vs Qlik Sense
- Google Cloud SQL vs Klipfolio
- Google Cloud SQL vs Databox
- Google Cloud SQL vs Cube
- Google Cloud SQL vs Cyfe
- Google Cloud SQL vs Evidence
- Google Cloud SQL vs Geckoboard
- Google Cloud SQL vs Google Data Studio
- Google Cloud SQL vs Grow
- Google Cloud SQL vs Lightdash
- Google Cloud SQL vs Mode
- Google Cloud SQL vs Amazon RDS
- Google Cloud SQL vs Azure SQL
- Google Cloud SQL vs Cockroach Labs
- Google Cloud SQL vs Aiven
- Google Cloud SQL vs PostgreSQL
- Google Cloud SQL vs MariaDB
- Google Cloud SQL vs DataStax
- Google Cloud SQL vs FaunaDB
- Google Cloud SQL vs ArangoDB
- Google Cloud SQL vs Canary Labs
- Google Cloud SQL vs Chroma
- Google Cloud SQL vs Cloudinary
- Google Cloud SQL vs Convex
- Google Cloud SQL vs Dgraph
- Google Cloud SQL vs Amazon Aurora
- Google Cloud SQL vs Microsoft SQL Server
- Google Cloud SQL vs Amazon Redshift
- Google Cloud SQL vs CosmosDB
