Developer Tools · head to head
Ona (formerly Gitpod) vs Google Cloud SQL

Ona (formerly Gitpod)
Developer Tools
Cloud development environments repositioned as a control plane for software engineering agents
- From
- Free
- Free plan
- Yes

Google Cloud SQL
Databases
Fully managed relational database service for MySQL, PostgreSQL, and SQL Server
- From
- Free
- Free plan
- Yes
The short version
- Free plans on both; paid from $20/mo and $25/mo.
- Only Ona (formerly Gitpod) lists ephemeral environments; only Google Cloud SQL lists high Availability.
- Where Google Cloud SQL falls short: locked into Google Cloud ecosystem with limited cross-cloud portability.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Ona (formerly Gitpod) and Google Cloud SQL actually diverge.
| Attribute | Ona (formerly Gitpod) | Google Cloud SQL |
|---|---|---|
| Pricing model | Per month by compute unit | Usage-based |
| Platforms | Web, Linux, macOS, Windows, AWS | Web |
| Category | Developer Tools | Databases |
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: founded for Ona (formerly Gitpod).
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 Ona (formerly Gitpod)
- Ephemeral environments
- Agent sessions
- Bring your own cloud
- Devcontainer standard
- Compute unit budgeting
- Enterprise identity
Only in Google Cloud SQL
- High Availability
- Automated Backups
- Point-in-time Recovery
- Encryption
- Regional/Zonal Instances
- Read Replicas
- Private IP
- BigQuery
What people use each for
The jobs each tool is most often brought in to do.
Ona (formerly Gitpod)
- Giving a large engineering team identical, disposable environments so onboarding is a link rather than a two day setupnot Google Cloud SQL
- Running several coding agents in parallel against real databases and services instead of on a laptopnot Google Cloud SQL
- Keeping source code off contractor and offshore laptops by moving the whole environment into a controlled accountnot Google Cloud SQL
- Reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machinenot Google Cloud SQL
Google Cloud SQL
- Transaction processingnot Ona (formerly Gitpod)
- Data storagenot Ona (formerly Gitpod)
- Application backendnot Ona (formerly Gitpod)
- Reportingnot Ona (formerly Gitpod)
- Data analyticsnot Ona (formerly Gitpod)
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Ona (formerly Gitpod)
- Acquisition risk has already materialised: the company closed a sale to OpenAI on 10 August 2026 and now sits inside the Codex team, so nothing public guarantees pricing, continuity or neutrality between model vendors beyond honouring existing commitments
- Two disruptive changes of direction inside a year, from development environments to agent orchestration and then from independence to acquisition, mean the product a browser IDE buyer originally chose no longer exists in that form
- The Gitpod Classic sunset on 15 October 2025 required manual conversion of configuration, hand-moved secrets, self-rescued workspace data and a brand new account, which is the clearest available precedent for how the vendor handles deprecation
- Community self-hosting is finished: the AGPL-3.0 repository is deprecated by its own README, and self-hosted now means a vendor-operated install in your AWS or GCP account, with no Azure, no on-premises and no air-gapped path
- Pricing is difficult to model because it runs on a compute unit currency where subscription credits expire at the end of the month, the mapping from units to actual compute is not published on the pricing page, and Enterprise is quotation only
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
Ona (formerly Gitpod)
Free- FreeFree
- Up to 3 parallel environments
- Machines up to 4 vCPU, 16 GB memory and 80 GB disk
- Ona Cloud multi-tenant only
- Core$20/mo
- From 20 US dollars a month, up to 100 team members
- Includes 80 to 2,200 recurring compute units a month depending on tier
- Additional units from 10 US dollars per 40 units
- EnterpriseOn request
- Single-tenant deployment in your own AWS or GCP account
- SAML and OIDC single sign-on
- Dedicated account management and forward deployed engineers
Google Cloud SQL
Free- Free TierFree
- db-f1-micro instance
- 30GB storage
- Limited usage
- Standard$25/mo
- High availability
- Automated backups
- Point-in-time recovery
Which should you pick?
Choose Ona (formerly Gitpod) if
- You need ephemeral environments.
- You want to start without paying.
- You work on Web, Linux, macOS, Windows, AWS.
- You also want agent sessions.
Choose Google Cloud SQL if
- You need high availability.
- You want to start without paying.
- You also want automated backups.
Questions people ask
- Is Ona (formerly Gitpod) or Google Cloud SQL better?
- Neither clearly leads. Ona (formerly Gitpod) 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, Ona (formerly Gitpod) or Google Cloud SQL?
- Ona (formerly Gitpod) starts at Free and Google Cloud SQL at Free.
- Does Ona (formerly Gitpod) or Google Cloud SQL run on more platforms?
- Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS. Google Cloud SQL runs on Web.
- Can I use Ona (formerly Gitpod) for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Ona (formerly Gitpod) best used for?
- Ona (formerly Gitpod) is most often used for giving a large engineering team identical, disposable environments so onboarding is a link rather than a two day setup, running several coding agents in parallel against real databases and services instead of on a laptop, keeping source code off contractor and offshore laptops by moving the whole environment into a controlled account, reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machine. Of those, giving a large engineering team identical, disposable environments so onboarding is a link rather than a two day setup and running several coding agents in parallel against real databases and services instead of on a laptop are not what Google Cloud SQL is typically brought in for.
- What can Ona (formerly Gitpod) do that Google Cloud SQL cannot?
- Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard. Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption.
Answered from the vendors’ own pages
Ona (formerly Gitpod): Is Gitpod still called Gitpod?
No. It rebranded to Ona in September 2025, and gitpod.io now redirects to ona.com. The company was acquired by OpenAI in a deal that closed on 10 August 2026.
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.
SourceOna (formerly Gitpod): Can I still self-host it for free?
No. The AGPL-3.0 self-hosted project is deprecated by its own README. What is offered now is a vendor-operated single-tenant install in your AWS or GCP account on the Enterprise plan.
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.
SourceOna (formerly Gitpod): What happened to Gitpod Classic?
Pay-as-you-go Classic was switched off on 15 October 2025. Migration required converting gitpod.yml to devcontainer.json, moving secrets by hand, downloading workspace data before the cutoff and creating a new account.
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.
SourceOna (formerly Gitpod): What does it cost?
Core starts at 20 US dollars a month and includes a monthly allowance of Ona Compute Units, with more from 10 dollars per 40 units. Subscription credits expire monthly. Enterprise is quoted.
Related pages
More on Ona (formerly Gitpod)
More on Google Cloud SQL
Other head to heads
- Ona (formerly Gitpod) vs Coder
- Ona (formerly Gitpod) vs CodeSandbox
- Ona (formerly Gitpod) vs StackBlitz
- Ona (formerly Gitpod) vs Namespace
- Ona (formerly Gitpod) vs Daytona
- Ona (formerly Gitpod) vs Earthly
- Ona (formerly Gitpod) vs Envoy
- Ona (formerly Gitpod) vs Nixpacks
- Ona (formerly Gitpod) vs Spacelift
- Ona (formerly Gitpod) vs Atlantis
- Ona (formerly Gitpod) vs Backstage
- Ona (formerly Gitpod) vs Cloud Native Buildpacks
- Ona (formerly Gitpod) vs Rust
- Ona (formerly Gitpod) vs Steampipe
- Ona (formerly Gitpod) vs Tilt
- Ona (formerly Gitpod) vs Vim
- Ona (formerly Gitpod) vs WarpBuild
- Ona (formerly Gitpod) vs Webpack
- Ona (formerly Gitpod) vs Amazon RDS
- Ona (formerly Gitpod) vs Azure SQL
- Ona (formerly Gitpod) vs Cockroach Labs
- Ona (formerly Gitpod) vs Aiven
- Ona (formerly Gitpod) vs PostgreSQL
- Ona (formerly Gitpod) vs MariaDB
- Ona (formerly Gitpod) vs DataStax
- Ona (formerly Gitpod) vs Typesense
- Ona (formerly Gitpod) vs Valkey
- Ona (formerly Gitpod) vs Apache Doris
- Ona (formerly Gitpod) vs Apache Hadoop
- Ona (formerly Gitpod) vs Apache Spark
- Ona (formerly Gitpod) vs Amazon Aurora
- Ona (formerly Gitpod) vs Microsoft SQL Server
- Ona (formerly Gitpod) vs Postgres
- Ona (formerly Gitpod) vs Apache Solr
- Ona (formerly Gitpod) vs Amazon Redshift
- Ona (formerly Gitpod) vs CosmosDB
- Google Cloud SQL vs Coder
- Google Cloud SQL vs CodeSandbox
- Google Cloud SQL vs StackBlitz
- Google Cloud SQL vs Namespace
- Google Cloud SQL vs Daytona
- Google Cloud SQL vs Earthly
- Google Cloud SQL vs Envoy
- Google Cloud SQL vs Nixpacks
- Google Cloud SQL vs Spacelift
- Google Cloud SQL vs Atlantis
- Google Cloud SQL vs Backstage
- Google Cloud SQL vs Cloud Native Buildpacks
- Google Cloud SQL vs Rust
- Google Cloud SQL vs Steampipe
- Google Cloud SQL vs Tilt
- Google Cloud SQL vs Vim
- Google Cloud SQL vs WarpBuild
- Google Cloud SQL vs Webpack
- Google Cloud SQL vs Amazon RDS
- Google Cloud SQL vs Azure SQL
- Google Cloud SQL vs Cockroach Labs
- Google Cloud SQL vs Aiven
- Google Cloud SQL vs PostgreSQL
- Google Cloud SQL vs MariaDB
- Google Cloud SQL vs DataStax
- Google Cloud SQL vs Typesense
- Google Cloud SQL vs Valkey
- Google Cloud SQL vs Apache Doris
- Google Cloud SQL vs Apache Hadoop
- Google Cloud SQL vs Apache Spark
- Google Cloud SQL vs Amazon Aurora
- Google Cloud SQL vs Microsoft SQL Server
- Google Cloud SQL vs Postgres
- Google Cloud SQL vs Apache Solr
- Google Cloud SQL vs Amazon Redshift
- Google Cloud SQL vs CosmosDB
