Databases · head to head
Google Cloud SQL vs Milvus

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

Milvus
Machine Learning
Open-source vector database for scalable similarity search
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Google Cloud SQL locked into Google Cloud ecosystem with limited cross-cloud portability; Milvus vector dimensions are capped at 32,768
- They diverge on capability: Google Cloud SQL covers High Availability, Milvus covers Billion-scale vectors.
Where they differ
Only the attributes on which Google Cloud SQL and Milvus actually diverge.
| Attribute | Google Cloud SQL | Milvus |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Google Cloud Platform | Linux, Mac, Windows, Web |
| Category | Databases | Machine Learning |
| Founded | 2008 | 2017 |
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
- BigQuery
Only in Milvus
- Billion-scale vectors
- Multiple index types
- GPU acceleration
- Hybrid search
- Data partitioning
- PyTorch
- TensorFlow
- Hugging Face
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 Milvus
- Data storagenot Milvus
- Application backendnot Milvus
- Reportingnot Milvus
- Data analyticsnot Milvus
Milvus
- Self hosting a vector database for semantic searchnot Google Cloud SQL
- Storing and querying embeddings for retrieval augmented generationnot Google Cloud SQL
- Similarity search over images, audio or text at scalenot 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
Milvus
- Vector dimensions are capped at 32,768
- A collection is limited to 64 fields, 1,024 partitions and 16 shards
- Only 1 index is allowed per field
- Search returns at most 16,384 vectors as top-k, and nq is capped at 16,384
- Input and output per RPC is capped at 64 MB for insert, search and query
- VARCHAR values are limited to 65,535 characters
- Data loaded into query nodes cannot exceed 90% of available memory
- An instance supports at most 65,536 collections
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
Milvus
Free- Open SourceFree
- Full features
- Self-hosted
- Community support
- Zilliz CloudFree
- Managed service
- Free tier available
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 Milvus if
- You need billion-scale vectors.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want multiple index types.
Questions people ask
- Is Google Cloud SQL or Milvus better?
- Neither clearly leads. Google Cloud SQL starts at Free and Milvus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Cloud SQL or Milvus?
- Google Cloud SQL starts at Free and Milvus at Free.
- Does Google Cloud SQL or Milvus run on more platforms?
- Google Cloud SQL runs on Google Cloud Platform. Milvus runs on Linux, Mac, Windows, 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 Milvus is typically brought in for.
- What can Google Cloud SQL do that Milvus cannot?
- Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption. Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. 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.
SourceMilvus: How much does Milvus cost?
Milvus is open-source and free to use and modify. The self-hosted version has no licensing cost. Zilliz Cloud (the managed SaaS version) does not publish pricing on the website.
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.
SourceMilvus: Is there a free or open-source version of Milvus?
Yes, Milvus is fully open-source and available for free. Milvus Lite is a lightweight option for learning and prototyping that can be installed via pip.
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.
SourceMilvus: Does Milvus offer a managed cloud service?
Yes, Zilliz Cloud is a fully managed Milvus cloud offering with serverless and dedicated cluster options. Pricing must be requested from the company as it is not listed on the public website.
SourceRelated pages
More on Google Cloud SQL
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