Software · head to head
ClickHouse vs Google Cloud SQL
ClickHouse
Software
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -
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: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; Google Cloud SQL locked into Google Cloud ecosystem with limited cross-cloud portability
- They diverge on capability: ClickHouse covers Column-oriented Storage, Google Cloud SQL covers High Availability.
Where they differ
Only the attributes on which ClickHouse and Google Cloud SQL actually diverge.
| Attribute | ClickHouse | Google Cloud SQL |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Linux, macOS, Windows (via Docker) | Google Cloud Platform |
| Founded | 2021 | 2008 |
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 ClickHouse
- Column-oriented Storage
- Real-time Analytics
- SQL Support
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- Kafka
Only in Google Cloud SQL
- High Availability
- Automated Backups
- Point-in-time Recovery
- Encryption
- Regional/Zonal Instances
- Read Replicas
- Private IP
- BigQuery
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
ClickHouse
- Business intelligencenot Google Cloud SQL
- Data warehousingnot Google Cloud SQL
- Real-time analyticsnot Google Cloud SQL
- Reporting
- Machine learningnot Google Cloud SQL
Google Cloud SQL
- Transaction processingnot ClickHouse
- Data storagenot ClickHouse
- Application backendnot ClickHouse
- Reporting
- Data analyticsnot ClickHouse
Both are used for reporting, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ClickHouse
- Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
- Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
- Experimental vector search support, not production-ready for vector operations
- Different query syntax from standard SQL requiring migration planning
- Limited JOIN capabilities compared to traditional relational databases
- Migration complexity with 2-4 weeks estimated for data type mapping and query translation
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
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
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 ClickHouse if
- You need column-oriented storage.
- You want to start without paying.
- You work on Linux, macOS, Windows (via Docker).
- You also want real-time analytics.
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 ClickHouse or Google Cloud SQL better?
- Neither clearly leads. ClickHouse starts at Free and Google Cloud SQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or Google Cloud SQL?
- ClickHouse starts at Free and Google Cloud SQL at Free.
- Does ClickHouse or Google Cloud SQL run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). Google Cloud SQL runs on Google Cloud Platform.
- Can I use ClickHouse for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ClickHouse best used for?
- ClickHouse is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Google Cloud SQL is typically brought in for.
- What can ClickHouse do that Google Cloud SQL cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption. Both handle Web support.
Answered from the vendors’ own pages
ClickHouse: What is ClickHouse best used for?
ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.
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.
SourceClickHouse: Does ClickHouse support transactions?
ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.
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.
SourceClickHouse: How does ClickHouse compare to PostgreSQL?
ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.
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