Databases · head to head
Google Cloud SQL vs SingleStore

Google Cloud SQL
Databases
Fully managed relational database service for MySQL, PostgreSQL, and SQL Server
- From
- Free
- Rated
- -

SingleStore
Databases
The real-time distributed SQL database for data-intensive applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Google Cloud SQL locked into Google Cloud ecosystem with limited cross-cloud portability; SingleStore high licensing costs that increase with data scale and cluster size
- They diverge on capability: Google Cloud SQL covers High Availability, SingleStore covers Real-time Analytics.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Google Cloud SQL and SingleStore actually diverge.
| Attribute | Google Cloud SQL | SingleStore |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | Google Cloud Platform | Cloud (SingleStoreDB Cloud), Self-Managed |
| Founded | 2008 | 2011 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 SingleStore
- Real-time Analytics
- Fast Data Ingest
- In-memory Processing
- Distributed Architecture
- MySQL Compatible
- Columnar Storage
- Vector Search
- Kafka
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Google Cloud SQL
- Transaction processing
- Data storage
- Application backend
- Reporting
- Data analytics
SingleStore
- Transaction processing
- Data storage
- Application backend
- Reporting
- Data analytics
Both are used for transaction processing, data storage, application backend, reporting, data analytics, 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.
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
SingleStore
- High licensing costs that increase with data scale and cluster size
- Eventual consistency in replication: secondary replicas may lag during high write loads
- Complex operational setup requiring specialized knowledge for optimization
- Vendor lock-in due to proprietary technology without open-source alternatives
- Disorganized documentation and lack of online training resources
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
SingleStore
Free- Free Tier$0.99/month
- Usage-based pricing
- Limited resources
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 SingleStore if
- You need real-time analytics.
- You want to start without paying.
- You work on Cloud (SingleStoreDB Cloud), Self-Managed.
- You also want fast data ingest.
Questions people ask
- Is Google Cloud SQL or SingleStore better?
- Neither clearly leads. Google Cloud SQL starts at Free and SingleStore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Cloud SQL or SingleStore?
- Google Cloud SQL starts at Free and SingleStore at Free.
- Does Google Cloud SQL or SingleStore run on more platforms?
- Google Cloud SQL runs on Google Cloud Platform. SingleStore runs on Cloud (SingleStoreDB Cloud), Self-Managed.
- 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.
- What can Google Cloud SQL do that SingleStore cannot?
- Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption. SingleStore covers Real-time Analytics, Fast Data Ingest, In-memory Processing, Distributed Architecture. 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.
SourceSingleStore: Does SingleStore offer a free tier?
Yes, SingleStore offers a free tier starting from $0.99/month with usage-based pricing. The free tier allows developers to evaluate the platform with limited resources before scaling to production workloads.
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.
SourceSingleStore: Can SingleStore handle both transactional and analytical workloads?
Yes, SingleStore is a hybrid transactional/analytical processing (HTAP) database that combines operational (OLTP) and analytical (OLAP) workloads in a single unified engine, eliminating the need for separate systems.
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.
SourceSingleStore: Does SingleStore integrate with Apache Spark?
Yes, SingleStore provides the Spark Connector 3.0 for bidirectional data integration with Apache Spark. The connector supports SQL, Python, Scala, Java, and R for data loading and extraction.
SourceSingleStore: Can SingleStore ingest data from Kafka?
Yes, SingleStore supports high-throughput streaming ingestion from Apache Kafka and other sources, enabling millions of events per second without requiring ETL pipelines or data movement.
SourceSingleStore: Is SingleStore available as cloud or self-managed?
SingleStore offers both deployment options: SingleStoreDB Cloud (managed service) and SingleStore Self-Managed for on-premises or private cloud deployments. The managed service handles infrastructure, scaling, and maintenance automatically.
SourceRelated pages
More on Google Cloud SQL
More on SingleStore
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- SingleStore vs MariaDB
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- SingleStore vs FaunaDB
- SingleStore vs ArangoDB
- SingleStore vs Canary Labs
- SingleStore vs Chroma
- SingleStore vs Cloudinary
- SingleStore vs Convex
- SingleStore vs Dgraph
- SingleStore vs Amazon Aurora
- SingleStore vs Microsoft SQL Server
- SingleStore vs Amazon Redshift
- SingleStore vs CosmosDB
- SingleStore vs Apache Druid
- SingleStore vs ClickHouse
- SingleStore vs DuckDB
- SingleStore vs Elasticsearch
- SingleStore vs TiDB
- SingleStore vs Materialize
- SingleStore vs TimescaleDB
- SingleStore vs Estuary
- SingleStore vs Fivetran HVR
- SingleStore vs Firebolt
- SingleStore vs Nile
- SingleStore vs Ninox
- SingleStore vs Presto
- SingleStore vs Privacera
- SingleStore vs RavenDB
- SingleStore vs Readyset
- SingleStore vs Apache Pinot
- SingleStore vs Apache Flink
