Softwr

Databases · head to head

Google Cloud SQL vs OpenSearch

Google Cloud SQL logo

Google Cloud SQL

Databases

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server

From
Free
Rated
-
OpenSearch logo

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.

Attributes where Google Cloud SQL and OpenSearch differ
AttributeGoogle Cloud SQLOpenSearch
Pricing modelusage-basedOpen source, no licence fee; managed services billed separately
PlatformsGoogle Cloud PlatformLinux, Docker, Kubernetes, Self-hosted
Founded2008Unknown

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.

Source
OpenSearch: 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.

Source
OpenSearch: 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.

Source
OpenSearch: 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.

Share

Related pages

Other head to heads