Databases · head to head
Google Cloud SQL vs OpenSearch

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

OpenSearch
Databases
Open-source search and analytics suite forked from Elasticsearch
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Google Cloud SQL locked into Google Cloud ecosystem with limited cross-cloud portability; OpenSearch diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
- They diverge on capability: Google Cloud SQL covers High Availability, OpenSearch covers Full-text search.
Where they differ
Only the attributes on which Google Cloud SQL and OpenSearch actually diverge.
| Attribute | Google Cloud SQL | OpenSearch |
|---|---|---|
| Pricing model | usage-based | Open source, no licence fee; managed services billed separately |
| Platforms | Google Cloud Platform | Linux, Docker, Kubernetes, Self-hosted |
| Founded | 2008 | Unknown |
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 OpenSearch
- Full-text search
- OpenSearch Dashboards
- Log analytics
- Vector search
What people use each for
The jobs each tool is most often brought in to do.
Google Cloud SQL
- Transaction processingnot OpenSearch
- Data storagenot OpenSearch
- Application backendnot OpenSearch
- Reportingnot OpenSearch
- Data analyticsnot OpenSearch
OpenSearch
- Log and observability storage where an Apache-2.0 licence is a requirementnot Google Cloud SQL
- Replacing Elasticsearch after the licence change without changing architecturenot Google Cloud SQL
- Search plus analytics on one cluster rather than two systemsnot 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
OpenSearch
- Diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
- Operationally heavy in the way Elasticsearch is: cluster sizing, shard strategy and JVM tuning are ongoing work
- Smaller ecosystem of third-party tooling than Elasticsearch, which most integrations still target first
- Overkill for plain application search, where a dedicated search engine is far simpler
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
OpenSearch
Free- OpenSearchFree
- Full functionality
- Self-hosted
- No usage limits
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 OpenSearch if
- You need full-text search.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Self-hosted.
- You also want opensearch dashboards.
Questions people ask
- Is Google Cloud SQL or OpenSearch better?
- Neither clearly leads. Google Cloud SQL starts at Free and OpenSearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Cloud SQL or OpenSearch?
- Google Cloud SQL starts at Free and OpenSearch at Free.
- Does Google Cloud SQL or OpenSearch run on more platforms?
- Google Cloud SQL runs on Google Cloud Platform. OpenSearch runs on Linux, Docker, Kubernetes, Self-hosted.
- 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 OpenSearch is typically brought in for.
- What can Google Cloud SQL do that OpenSearch cannot?
- Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption. OpenSearch covers Full-text search, OpenSearch Dashboards, Log analytics, Vector search.
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.
SourceOpenSearch: Is OpenSearch free?
Yes, Apache 2.0 licensed under the Linux Foundation. Amazon OpenSearch Service is a paid managed option.
Google 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.
SourceOpenSearch: Why does OpenSearch exist?
Elastic moved Elasticsearch off the Apache 2.0 licence in 2021. AWS forked the last Apache-licensed version, and the project now sits under the Linux Foundation.
Google 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.
SourceOpenSearch: Is OpenSearch compatible with Elasticsearch?
It was at the 7.10 fork point. Both have developed independently since, so compatibility weakens with every release and should be verified for the features you use.
Related pages
More on Google Cloud SQL
Other head to heads
- Google Cloud SQL vs Cockroach Labs
- Google Cloud SQL vs PostgreSQL
- Google Cloud SQL vs Airtable
- Google Cloud SQL vs Amazon Aurora
- Google Cloud SQL vs Elasticsearch
- Google Cloud SQL vs Apache Kafka
- Google Cloud SQL vs PlanetScale
- Google Cloud SQL vs Meilisearch
- Google Cloud SQL vs Turso
- Google Cloud SQL vs Azure SQL
- Google Cloud SQL vs ClickHouse
- Google Cloud SQL vs Couchbase
- Google Cloud SQL vs DuckDB
- Google Cloud SQL vs MariaDB
- Google Cloud SQL vs Oracle Database
- Google Cloud SQL vs DataGrip
- Google Cloud SQL vs Firebolt
- Google Cloud SQL vs MotherDuck
- OpenSearch vs Cockroach Labs
- OpenSearch vs PostgreSQL
- OpenSearch vs Airtable
- OpenSearch vs Amazon Aurora
- OpenSearch vs Elasticsearch
- OpenSearch vs Apache Kafka
- OpenSearch vs PlanetScale
- OpenSearch vs Meilisearch
- OpenSearch vs Turso
- OpenSearch vs Azure SQL
- OpenSearch vs ClickHouse
- OpenSearch vs Couchbase
- OpenSearch vs DuckDB
- OpenSearch vs MariaDB
- OpenSearch vs Oracle Database
- OpenSearch vs DataGrip
- OpenSearch vs Firebolt
- OpenSearch vs MotherDuck
