Argo Workflows vs Temporal
Argo Workflows
argoproj.github.ioTemporal
temporal.ioSide by side
| Figure | Argo Workflows | Temporal |
|---|---|---|
| Price from | Free | $50/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · IT Orchestration Software | 8.7 (#3) | 7.7 (#15) |
| Spec score · Cloud Orchestration Software | 8.7 (#4) | 7.7 (#14) |
| Spec score · Workload Automation Software | 8.6 (#5) | 7.8 (#14) |
| Spec score · Workflow Orchestration Software | 8.6 (#9) | 7.8 (#24) |
| Support | The project directs users with questions to GitHub Discussions and Slack and describes monthly community meetings. | Temporal offers business-hours support with a 2-hour P0 SLA, plus 24/7 enterprise support with 30-minute or 15-minute P0 SLAs. |
| Use cases | The project lists machine-learning pipelines, data and batch processing, infrastructure automation, and CI/CD as use cases. | Temporal presents use cases including AI agents, human-in-the-loop workflows, order fulfillment, durable ledgers, CI/CD, and long-running processes. |
Plans
Temporal
- Pay-As-You-Go$50 a month
- Business$500 a month
- Enterprise and Mission CriticalPriced on request
In their own words
Argo Workflows
Argo Workflows is a free, open-source engine for orchestrating container-based jobs on Kubernetes. Workflows can be arranged as sequential steps or as tasks linked in a directed acyclic graph, with each step running in a container. The project lists machine learning pipelines, data and batch processing, infrastructure automation, and CI/CD as use cases. Controls include loops, conditionals, retries, timeouts, suspension and resumption, cancellation, and limits on parallel work. Cron scheduling, workflow archiving, a UI for viewing and managing runs, and Prometheus metrics are included. Artifact support covers S3, Artifactory, Alibaba Cloud OSS, Azure Blob Storage, HTTP, Git, GCS, raw artifacts, and plugins. The server provides REST API support over HTTP and gRPC, with client libraries for Java, Go, Python, and TypeScript. Argo Workflows is self-hosted and can run on any Kubernetes cluster. Its listed plan costs nothing, and the official pages list no paid plans or usage limits. Administrators should configure transport security, authentication, roles, and permissions; workflow pods run as root by default unless their security context is set.
Temporal
Temporal is a workflow platform for applications that need work to recover after crashes, network failures, or infrastructure outages. Workflows preserve state at each step and resume from that point. Failure-handling tools include automatic retries with backoff, timeout classes, heartbeating, and Saga compensation. Durable timers can wait for months; cron schedules support backfill, and workflows can use Continue-As-New. Signals, Queries, Updates, and Workflow Streams let users read or change workflows while they run. Teams can self-host the open-source Temporal Service or use managed Temporal Cloud. SDKs are listed for Go, Java, Python, TypeScript,.NET, PHP, Ruby, and Rust, alongside integrations for several AI tools. Temporal Cloud keeps application code and data in customer-controlled infrastructure, sending encrypted orchestration data to the service; it uses AES 256 encryption at rest and TLS in transit. The cloud service is SOC 2 Type II certified and compliant with GDPR and HIPAA. Pay-As-You-Go has no base monthly fee and includes $150 in credits for 90 days; Business costs $500 a month or 10% of usage, whichever is greater.