Choose Moltern when
You want apps, databases, catalog software and private coding agents in one workspace, with scoped access and organization governance.
Discuss your stack ↗MolternMoltern vs Google Cloud Run
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Moltern vs Google Cloud Run
Cloud Run operates containerized services, jobs and worker pools on Google Cloud, integrating with its identity, networking and data services.
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A working app rarely runs alone. It has data, background work, secrets and people who need access. Cloud Run operates containerized services, jobs and worker pools on Google Cloud, integrating with its identity, networking and data services. Compare that starting point with Moltern’s shared workspace before deciding what your team should operate.
Start with the right job.
What Google Cloud Run is built around
Cloud Run operates containerized services, jobs and worker pools on Google Cloud, integrating with its identity, networking and data services.
Review notes & documentation ↓42 · feature dimensions
Look beyond the first deployment.
What is included, what depends on a plan, and what your team must assemble or operate.
42 / 42 · rows shown
| Capability | Moltern | Google Cloud Run |
|---|---|---|
| Build & deploy | ||
| Git deployments | MolternDocumented Repository, branch and build settings | Google Cloud RunSeparate service / integration |
| Static sites | MolternDocumented Static and server applications | Google Cloud RunDocumented |
| Container workloads | MolternDocumented Application builds and packaged services | Google Cloud RunDocumented Docker / OCI workload support Services · Jobs · Worker Pools |
| Background workloads | MolternDocumented Run supported app and service processes | Google Cloud RunDocumented |
| Environment separation | MolternDocumented Production, staging, development and preview environments | Google Cloud RunYour team operates it |
| Deployment history & rollback | MolternDocumented Release history and application rollbacks | Google Cloud RunDocumented |
| Services & data | ||
| Packaged service catalog | MolternDocumented Databases, CMS, analytics, automation and more | Google Cloud RunSeparate service / integration |
| SQL databases | MolternDocumented Database services with service-specific setup | Google Cloud RunSeparate service / integration Use a linked database or storage product Cloud SQL |
| Caches & queues | MolternDocumented Deploy supported catalog services | Google Cloud RunSeparate service / integration Use a linked database or storage product |
| Persistent storage | MolternDocumented Workload storage with workspace allowances | Google Cloud RunSeparate service / integration |
| Private service connections | MolternDocumented Select targets and runtime connection variables | Google Cloud RunPlan / configuration Private connectivity requires workload configuration |
| AI service stacks | MolternDocumented Catalog AI services, with workload-specific resources | Google Cloud RunSeparate service / integration |
| Agent workspaces | ||
| Coding-agent workspace | MolternDocumented Private Codex, Claude Code, Gemini CLI and OpenCode workspaces | Google Cloud RunSeparate service / integration |
| Agent provider sign-in | MolternDocumented Save supported provider sessions or API keys | Google Cloud RunSeparate service / integration |
| Per-target agent permissions | MolternDocumented Read context or connect to explicitly selected workloads | Google Cloud RunYour team operates it |
| Browser terminal | MolternDocumented Multiple terminal tabs in private workspaces | Google Cloud RunDocumented Shell or process execution in the runtime |
| Persistent agent files | MolternDocumented Optional persistent workspace, within storage quota | Google Cloud RunSeparate service / integration |
| Remote desktop | MolternPlan / configuration Omarchy desktop profile; availability and host capacity apply | Google Cloud RunSeparate service / integration |
| Run & observe | ||
| Application & service logs | MolternDocumented Deployment and runtime visibility | Google Cloud RunDocumented |
| Resource monitoring | MolternDocumented Workload CPU, memory and status views | Google Cloud RunDocumentedCloud Monitoring |
| Automatic instance scaling | MolternPlan / configuration Eligible workloads; min/max instances and CPU target | Google Cloud RunPlan / configuration |
| Domains & TLS routes | MolternDocumented Application domains and route configuration | Google Cloud RunDocumented |
| Secret handling | MolternDocumented Build/runtime variables; separate use and reveal permissions | Google Cloud RunDocumentedSecret Manager |
| Event webhooks | MolternDocumented Workspace event delivery and webhook management | Google Cloud RunDocumented |
| Identity & governance | ||
| Organizations & workspaces | MolternDocumented Shared organization with distinct workspace ownership | Google Cloud RunDocumented |
| Scoped roles & groups | MolternDocumented Environment and resource scopes, groups and expiry | Google Cloud RunPlan / configuration Organization controls live in the broader cloud IAM system Cloud IAM |
| SAML / OIDC SSO | MolternDocumented Verified domains, provider checks and SSO enforcement | Google Cloud RunSeparate service / integration Organization controls live in the broader cloud IAM system |
| SCIM provisioning | MolternDocumented Synchronize users and groups; grant workload access separately | Google Cloud RunSeparate service / integration Organization controls live in the broader cloud IAM system |
| Audit history | MolternDocumented Organization security history and audit exports | Google Cloud RunSeparate service / integration Organization controls live in the broader cloud IAM system |
| Access reviews & approvals | MolternDocumented Review access and protected-action requests | Google Cloud RunConfirm requirements |
| Runtime primitives | ||
| Public sandbox execution SDK | MolternDifferent product scope Public discovery endpoints; no supported sandbox execution SDK | Google Cloud RunDifferent product scope Platform management API differs from a sandbox execution SDK |
| Platform CLI | MolternDifferent product scope Provider CLIs in agents; standalone Moltern CLI coming later | Google Cloud RunDocumented |
| Unrestricted root VM access | MolternDifferent product scope Workload terminals; unrestricted root VMs are not promised | Google Cloud RunDifferent product scope |
| Environment snapshots & restore | MolternConfirm requirements Persistent files; VM memory snapshots are not documented | Google Cloud RunConfirm requirements |
| GPU compute | MolternConfirm requirements AI catalog services; confirm GPU capacity for your deployment | Google Cloud RunPlan / configuration Hardware, region and quota eligibility apply Cloud Run GPU |
| Hostile-code isolation | MolternConfirm requirements Private workloads; review hostile-code isolation requirements | Google Cloud RunConfirm requirements |
| Costs & limits | ||
| Budgets & spend guardrails | MolternPlan / configuration Cost centers, budgets and eligible capped PAYG overages | Google Cloud RunSeparate service / integration Organization controls live in the broader cloud IAM system |
| Capacity admission & quotas | MolternDocumented Workload slots, CPU/RAM and storage allowances | Google Cloud RunDocumented Configure resource size, quota and lifecycle rules |
| Idle lifecycle | MolternPlan / configuration Hobby may sleep; Pro production has no Hobby sleep behavior | Google Cloud RunPlan / configuration |
| On-premises deployment | MolternPlan / configuration Available by arrangement for larger organizations | Google Cloud RunDifferent product scope |
| Billing granularity | MolternDocumented Plan allowances, measured usage and storage views | Google Cloud RunDocumented |
| Backup & recovery responsibility | MolternYour team operates it Service-specific; assign owners and test restoration | Google Cloud RunPlan / configuration |
How to read this table
“Confirm requirements” means the reviewed documentation does not establish an equivalent workflow. It does not mean the feature is impossible. Plan and configuration requirements still apply to documented features.
Documented Plan / configuration Your team operates it Separate service / integration Confirm requirements Different product scope
The limits that change the decision.
Check the exact plan and region before committing. Resource limits, lifecycle rules and billing units are different questions.
Capacity & concurrency
Moltern
Apps, top-level services and coding agents count toward workload quota. Agent CPU and RAM are reserved while running; persistent storage uses the workspace pool. Maximum autoscaling capacity must fit available quota.
Google Cloud Run
Check per-service CPU/RAM, replica counts, build concurrency and account quotas. Private networking and autoscaling may depend on the service type or plan.
Runtime & persistence
Moltern
Hobby services may sleep after inactivity. Pro is intended for production without that sleeping behavior. Persistent agent files survive restarts; running processes and in-memory state are not automatically resumed.
Google Cloud Run
Distinguish continuously running services from jobs and functions. A persistent disk can change scaling, replica and recovery options; verify the exact workload configuration.
What goes on the bill
Moltern
Check current in-product plan allowances, measured usage, storage and eligible overages. PAYG has an explicit monthly cap; a budget alert and a hard spending guardrail are different controls.
Google Cloud Run
Include service runtime, databases, build usage, persistent storage and outbound traffic. Team features and private deployment options can have separate plan requirements.
- 01
Map the app and its dependencies.
List repositories, workers, data stores, secrets, domains and who owns each one. Keep an export and a rollback route before moving data.
- 02
Build a staging environment.
Deploy the app, attach only the services it needs, and test routes, persistence, logs and access rules with representative traffic.
- 03
Compare the whole operating cost.
Include build time, runtime, storage, network traffic, AI-provider charges and your team’s operating time. Move production only after recovery and ownership are clear.
Review notes & documentation
Reviewed 26 October 2026 against public product documentation. This is a workflow comparison, not a benchmark, certification assessment or guarantee of feature parity. Linked products, enterprise agreements and self-managed installations have their own terms.
Put it into practice
Deploy the code you own
Connect a repository and branch, review the build and start commands, then set the runtime port and health check. Static sites and web services have different operating needs.
Choose the supporting software
The catalog includes data, automation, AI, monitoring and other packaged software. Read each service guide before deployment and review its configuration and dependencies.
Keep agent access scoped
A coding agent is a private terminal workspace. Choose the provider and grant only the app or service context required. No grant means no private resource context.
Detailed instructions are maintained in the product documentation.
Questions before you start
Can I keep my existing framework?
Use a supported runtime or a Dockerfile. Review the application guide for your build output and server requirements.
Does every service have the same setup?
No. Required variables, dependencies, storage and access differ. The individual service guide explains the setup.
Do I need to change coding agents?
Moltern documents several provider CLIs and a generic terminal workflow. Provider sign-in and usage terms still apply.
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