Databases · head to head
Azure SQL vs Ona (formerly Gitpod)

Azure SQL
Databases
Intelligent, scalable cloud database service from Microsoft
- From
- Free
- Free plan
- Yes

Ona (formerly Gitpod)
Developer Tools
Cloud development environments repositioned as a control plane for software engineering agents
- From
- Free
- Free plan
- Yes
The short version
- Azure SQL is free; Ona (formerly Gitpod) starts at $20/mo.
- Only Azure SQL lists intelligent Performance; only Ona (formerly Gitpod) lists ephemeral environments.
- Where Azure SQL falls short: ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Azure SQL and Ona (formerly Gitpod) actually diverge.
| Attribute | Azure SQL | Ona (formerly Gitpod) |
|---|---|---|
| Platforms | Web | Web, Linux, macOS, Windows, AWS |
| Category | Databases | Developer Tools |
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: pricing model for Azure SQL, 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 Azure SQL
- Intelligent Performance
- Advanced Security
- Hyperscale
- Serverless Compute
- Geo-replication
- Automatic Tuning
- Built-in AI
- Power BI
Only in Ona (formerly Gitpod)
- Ephemeral environments
- Agent sessions
- Bring your own cloud
- Devcontainer standard
- Compute unit budgeting
- Enterprise identity
What people use each for
The jobs each tool is most often brought in to do.
Azure 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)
Ona (formerly Gitpod)
- Giving a large engineering team identical, disposable environments so onboarding is a link rather than a two day setupnot Azure SQL
- Running several coding agents in parallel against real databases and services instead of on a laptopnot Azure SQL
- Keeping source code off contractor and offshore laptops by moving the whole environment into a controlled accountnot Azure SQL
- Reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machinenot Azure SQL
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Azure SQL
- Ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions
- Managed service reduces control over database configuration and optimization tuning
- Pricing complexity with consumption-based model can be unpredictable at scale
- Less operational depth compared to Amazon RDS for advanced scaling scenarios
- Azure PostgreSQL is less compelling than dedicated PostgreSQL providers outside Azure ecosystem
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
Pricing, plan by plan
Azure SQL
FreeNo published plan breakdown. See the Azure SQL review.
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
Which should you pick?
Choose Azure SQL if
- You need intelligent performance.
- You want to start without paying.
- You also want advanced security.
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.
Questions people ask
- Is Azure SQL or Ona (formerly Gitpod) better?
- Neither clearly leads. Azure SQL starts at Free and Ona (formerly Gitpod) at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Azure SQL or Ona (formerly Gitpod)?
- Azure SQL starts at Free and Ona (formerly Gitpod) at Free.
- Does Azure SQL or Ona (formerly Gitpod) run on more platforms?
- Azure SQL runs on Web. Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS.
- Can I use Azure SQL for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Azure SQL best used for?
- Azure SQL is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Ona (formerly Gitpod) is typically brought in for.
- What can Azure SQL do that Ona (formerly Gitpod) cannot?
- Azure SQL covers Intelligent Performance, Advanced Security, Hyperscale, Serverless Compute. Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard.
Answered from the vendors’ own pages
Azure SQL: Does Azure SQL Database offer a free tier?
Yes, Azure SQL Database includes a permanent free tier that provides 100,000 vCore seconds, 32 GB of data storage, and 32 GB of backup storage per month. This free tier is available for the lifetime of any Azure subscription with no expiration.
SourceOna (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.
Azure SQL: What pricing models does Azure SQL Database support?
Azure SQL Database offers consumption-based pricing where you pay for resources used, with no long-term commitments required. Database Savings Plans launched in March 2026 allow committing to a fixed hourly amount and save up to 35% across Azure database services.
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.
Azure SQL: Is Azure SQL Database compatible with on-premises SQL Server?
Yes, Azure SQL Database shares the same Database Engine as on-premises SQL Server. Existing databases maintain their compatibility level and continue to work after upgrades. Azure SQL Managed Instance provides even broader SQL Server compatibility dating back to SQL Server 2008.
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.
Azure SQL: What high availability features does Azure SQL Database provide?
Azure SQL Database provides automatic backups, geo-replication for disaster recovery, failover groups for automatic failover, and zone redundancy for enhanced availability. The service maintains a 99.99% availability SLA for Business Critical tier.
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.
Azure SQL: Can I use AI features with Azure SQL Database?
Yes, Azure SQL Database includes Copilot for database tasks, Intelligent Applications support, REST API endpoints for building applications, and GraphQL endpoints for modern app development.
SourceRelated pages
More on Ona (formerly Gitpod)
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- Ona (formerly Gitpod) vs Google Cloud SQL
- Ona (formerly Gitpod) vs Amazon RDS
- Ona (formerly Gitpod) vs Cockroach Labs
- Ona (formerly Gitpod) vs Aiven
- Ona (formerly Gitpod) vs Firebolt
- Ona (formerly Gitpod) vs DataStax
- Ona (formerly Gitpod) vs FaunaDB
- Ona (formerly Gitpod) vs MongoDB
- Ona (formerly Gitpod) vs PlanetScale
- Ona (formerly Gitpod) vs Redis
- Ona (formerly Gitpod) vs Supabase
- Ona (formerly Gitpod) vs Apache Druid
- Ona (formerly Gitpod) vs Meilisearch
- Ona (formerly Gitpod) vs NATS
- Ona (formerly Gitpod) vs BigQuery
- Ona (formerly Gitpod) vs Amazon Aurora
- Ona (formerly Gitpod) vs Amazon Redshift
- Ona (formerly Gitpod) vs DynamoDB
- 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
