Developer Tools · head to head
Ona (formerly Gitpod) vs Materialize

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

Materialize
Databases
Live context layer for AI agents using real-time SQL transformations
- From
- Free
- Free plan
- Yes
The short version
- Free plans on both; paid from $20/mo and $1.5/mo.
- Only Ona (formerly Gitpod) lists ephemeral environments; only Materialize lists real-time Data Ingestion.
- Where Materialize falls short: community tier limited to 24GB memory, restricting production deployments.
- 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 Materialize actually diverge.
| Attribute | Ona (formerly Gitpod) | Materialize |
|---|---|---|
| Pricing model | Per month by compute unit | Usage-based compute credits with volume discounts for annual prepay |
| Platforms | Web, Linux, macOS, Windows, AWS | Web, Self-Managed, Local |
| 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 Materialize
- Real-time Data Ingestion
- SQL Transformations
- Incremental Computation
- Context Graph
- Multiple Deployment Options
- Agent Integration
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 Materialize
- Running several coding agents in parallel against real databases and services instead of on a laptopnot Materialize
- Keeping source code off contractor and offshore laptops by moving the whole environment into a controlled accountnot Materialize
- Reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machinenot Materialize
Materialize
- Building AI agent context layers from operational databasesnot Ona (formerly Gitpod)
- Creating event-driven applications without message queue complexitynot Ona (formerly Gitpod)
- Powering real-time analytics dashboards for user-facing applicationsnot Ona (formerly Gitpod)
- Simplifying vector search indexing pipelinesnot 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
Materialize
- Community tier limited to 24GB memory, restricting production deployments
- Compute credit pricing requires predicting usage patterns
- Learning SQL transformation models adds complexity vs pre-built solutions
- Self-managed deployments require operational expertise
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
Materialize
Free- CommunityFree
- Free forever
- Up to 24GB memory and 48GB disk
- Community Slack support
- Cloud On-Demand$1.5/compute-credit
- Monthly billing
- Pay-as-you-go
- Chatbot and helpdesk support
- Cloud Capacity$1.5/compute-credit
- Annual prepaid pricing
- Volume discounts available
- Dedicated account team
- Enterprise LicenseFree
- Unlimited scale for production
- Dedicated account team
- Priority engineer support
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 Materialize if
- You need real-time data ingestion.
- You want to start without paying.
- You work on Web, Self-Managed, Local.
- You also want sql transformations.
Questions people ask
- Is Ona (formerly Gitpod) or Materialize better?
- Neither clearly leads. Ona (formerly Gitpod) starts at Free and Materialize at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Ona (formerly Gitpod) or Materialize?
- Ona (formerly Gitpod) starts at Free and Materialize at Free.
- Does Ona (formerly Gitpod) or Materialize run on more platforms?
- Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS. Materialize runs on Web, Self-Managed, Local.
- 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 Materialize is typically brought in for.
- What can Ona (formerly Gitpod) do that Materialize cannot?
- Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard. Materialize covers Real-time Data Ingestion, SQL Transformations, Incremental Computation, Context Graph.
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.
Materialize: What is included in the free Community tier?
The Community tier is free forever for deployments up to 24GB memory and 48GB disk with community Slack support and self-service setup.
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.
Materialize: What are the storage and networking costs?
Cloud plans charge for storage at $0.00004110-$0.00003151 per GB/hour and networking at $0.12-$0.09 per GB, with lower rates on the Capacity plan.
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.
Materialize: How do I get started with Materialize?
Start with the free Community tier for development and non-production use, then migrate to Cloud On-Demand or Cloud Capacity when you need production scale.
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 Materialize
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- 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
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- Ona (formerly Gitpod) vs WarpBuild
- Ona (formerly Gitpod) vs Webpack
- Ona (formerly Gitpod) vs Timeplus
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- Ona (formerly Gitpod) vs RisingWave
- Ona (formerly Gitpod) vs IBM Db2
- Ona (formerly Gitpod) vs Estuary
- Ona (formerly Gitpod) vs Fivetran HVR
- Ona (formerly Gitpod) vs Apache Pinot
- Ona (formerly Gitpod) vs DataStax
- Ona (formerly Gitpod) vs SingleStore
- Ona (formerly Gitpod) vs ClickHouse
- Ona (formerly Gitpod) vs Redis
- Ona (formerly Gitpod) vs Firestore
- Ona (formerly Gitpod) vs Memcached
- Ona (formerly Gitpod) vs MotherDuck
- Ona (formerly Gitpod) vs Neo4j
- Ona (formerly Gitpod) vs OpenSearch
- Ona (formerly Gitpod) vs Qdrant
- Ona (formerly Gitpod) vs Apache Druid
- Materialize vs Coder
- Materialize vs CodeSandbox
- Materialize vs StackBlitz
- Materialize vs Namespace
- Materialize vs Daytona
- Materialize vs Earthly
- Materialize vs Envoy
- Materialize vs Nixpacks
- Materialize vs Spacelift
- Materialize vs Atlantis
- Materialize vs Backstage
- Materialize vs Cloud Native Buildpacks
- Materialize vs Rust
- Materialize vs Steampipe
- Materialize vs Tilt
- Materialize vs Vim
- Materialize vs WarpBuild
- Materialize vs Webpack
- Materialize vs Timeplus
- Materialize vs Tinybird
- Materialize vs RisingWave
- Materialize vs IBM Db2
- Materialize vs Estuary
- Materialize vs Fivetran HVR
- Materialize vs Apache Pinot
- Materialize vs DataStax
- Materialize vs SingleStore
- Materialize vs ClickHouse
- Materialize vs Redis
- Materialize vs Firestore
- Materialize vs Memcached
- Materialize vs MotherDuck
- Materialize vs Neo4j
- Materialize vs OpenSearch
- Materialize vs Qdrant
- Materialize vs Apache Druid
