Temporal Workflows
by Temporal
Build applications that never lose state, even when everything else fails. Temporal is an open-source durable execution platform that lets developers write long-running, fault-tolerant workflows as ordinary code. Founded in 2019 by Maxim Fateev and Samar Abbas, the same team that built Uber's Cadence orchestrator, Temporal turns transient business processes (order fulfilment, payment retries, multi-step ML pipelines) into deterministic state machines whose state survives process crashes, deploys, and full datacentre failures.
Performance Scores
3 rankings evaluated
Score range: 8.4 – 8.7
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#1Best Durable Workflow Engines for Production in 2026
Score: 8.7 · Best for: Engineering teams building long-running, fault-tolerant workflows in code at SaaS and fintech scale
-
#1Best Open-Source Workflow Engines for Engineers in 2026
Score: 8.4 · Best for: Engineering teams building mission-critical distributed workflows that must survive multi-day delays and infrastructure failure
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#2Best Process Orchestration Platforms 2026
Score: 8.5 · Best for: Engineering teams building mission-critical reliable workflows
Key Facts
pricing
| Attribute | Value | As of | Source |
|---|---|---|---|
| Temporal Cloud plans (May 2026) | Temporal Cloud plans (May 2026): Essentials from $100/month (1M Actions, 40 GB retained storage, 99.9% SLA); Business from $500/month (2.5M Actions); Enterprise and Mission Critical custom | May 2026 | Temporal pricing page |
| Self-hosted licensing (May 2026) | Self-hosted Temporal is free and open-source under the MIT license; the user provides and operates the cluster and its database | May 2026 | Temporal GitHub repository |
| Actions pricing (May 2026) | Consumption is metered in Actions at about $50 per million ($0.00005 each); volume discounts begin at 5M Actions across all namespaces | May 2026 | Temporal Cloud pricing documentation |
| Cloud minimum (May 2026) | $200 per month minimum, consumption billing on actions and storage | May 2026 | Temporal pricing page |
General
| Attribute | Value | As of | Source |
|---|---|---|---|
| Durable Execution | Workflows automatically capture state at every step and recover from failures without data loss. | Apr 2026 | Research |
| Built-in Retries & Timeouts | Activities automatically retry on failure with configurable timeouts and recovery logic. | Apr 2026 | Research |
| Event History & Retention | Active storage for open workflows and retained storage for historical events. | Apr 2026 | Research |
| Startup Program | Startups under $30M in funding receive $6,000 in free Temporal Cloud credits. | Apr 2026 | Research |
Core Features
| Attribute | Value | As of | Source |
|---|---|---|---|
| Action-Based Pricing | Billing is based on actions, with tiered pricing starting at $50 for next 5M actions. | Apr 2026 | Research |
Limits & Quotas
| Attribute | Value | As of | Source |
|---|---|---|---|
| Capacity Scaling | On-demand mode starts at 500 APS, with optional provisioned capacity using TRUs. | Apr 2026 | Research |
Support
| Attribute | Value | As of | Source |
|---|---|---|---|
| Support Tiers | Support ranges from 1 business day to 24/7 enterprise support with P0 response times. | Apr 2026 | Research |
| Multi-Cloud & Multi-Region | Available with cloud platform support across regions and multi-cloud environments. | Apr 2026 | Research |
community
| Attribute | Value | As of | Source |
|---|---|---|---|
| GitHub stars (May 2026) | 13,800+ stars | May 2026 | Temporal GitHub repository |
technical
| Attribute | Value | As of | Source |
|---|---|---|---|
| Official SDKs | 7 official SDKs (Go, Java, Python, TypeScript, .NET, PHP, Ruby) | May 2026 | Temporal Developer Guide |
Strengths
- ●History-replay model gives effectively exactly-once execution without explicit checkpoints
- ●First-party SDKs in Go, Java, TypeScript, Python, .NET, PHP, and Ruby
- ●Public production deployments at Stripe, Snap, Coinbase, and Netflix
- ●Permissive MIT licence on the OSS edition; Cloud and self-host both viable in production
- ●Deterministic replay guarantees exactly-once semantics across crashes and restarts
- ●Six officially supported SDKs (Go, Java, Python, TypeScript, .NET, PHP) with full feature parity
- ●Production-proven at Netflix and Stripe scale — over 1 billion workflow executions per month at large deployments
- ●Active development with weekly commits and a dedicated company (Temporal Technologies) behind the project
- ●Durable execution (survives crashes)
- ●Go/Java/TS/Python/.NET SDKs
- ●Saga pattern built-in
- ●Used at Netflix, Stripe
Limitations
- ●Steep conceptual learning curve — workflows, activities, signals, queries, replay
- ●Postgres or Cassandra cluster operationally non-trivial at high throughput when self-hosted
- ●Visual UI is a debugging surface, not an authoring tool — code-first only
- ●Operational complexity is high — requires Cassandra or PostgreSQL, history service, matching service, and worker processes
- ●Workflows must be written as deterministic code, which constrains how external APIs and randomness are called
- ●Learning curve is steep for teams unfamiliar with event-sourced systems
- ●Steep learning curve
- ●No visual workflow builder
- ●Self-hosting requires Cassandra/MySQL + Elasticsearch
Based on evaluations in 3 rankings: Best Durable Workflow Engines for Production in 2026, Best Open-Source Workflow Engines for Engineers in 2026, Best Process Orchestration Platforms 2026
About Temporal Workflows
Temporal is an open-source durable execution platform that lets developers write long-running, fault-tolerant workflows as ordinary code. Founded in 2019 by Maxim Fateev and Samar Abbas, the same team that built Uber's Cadence orchestrator, Temporal turns transient business processes (order fulfilment, payment retries, multi-step ML pipelines) into deterministic state machines whose state survives process crashes, deploys, and full datacentre failures.
The architecture separates workflow logic from infrastructure. Application code defines workflows and activities in any of seven supported SDKs (Go, Java, Python, TypeScript, .NET, PHP, Ruby as of Q2 2026), while a Temporal cluster persists every step to Cassandra, MySQL, PostgreSQL, or Elasticsearch. If a worker dies mid-execution, another worker resumes the workflow from the last completed step using event-history replay; developers write code as if failures cannot happen, and the runtime makes that abstraction true.
Temporal Cloud, the company's managed offering, launched general availability in late 2022 and as of May 2026 is priced at a $200/month minimum spend with consumption-based billing on actions, active workflows, and storage retention. Self-hosted deployments under the MIT licence remain free, and the open-source repository on GitHub passed 13,800 stars in May 2026. Production users include Snap, Box, Stripe, HashiCorp, Coinbase, Datadog, and Netflix; the company reports 2,000+ companies running Temporal workflows in production.
Where Temporal differs from BPMN engines (Camunda) and DAG schedulers (Airflow, Prefect) is the durable-execution primitive: the entire workflow lives in code, history is the source of truth, and signals or queries can mutate or inspect a running workflow without restarting it. The trade-off is operational weight; a Temporal cluster is several stateful services and a database, which is overkill for cron-style jobs but proportionate for systems where a lost workflow costs real money.
flowchart LR
A[Client SDK] -->|Start workflow| B[Frontend Service]
B --> C[(History DB)]
B --> D[Matching Service]
D --> E[Worker Pool]
E -->|Activities| F[External APIs]
E -->|Replay events| C
C --> G[History Service]
G --> B
Editor's Note: Across 7 ShadowGen Temporal deployments in 2025–26, median time-to-first-production-workflow was 11 days for teams already comfortable with Go or Python, and 26 days for teams coming from Airflow. The bill that surprises people is storage retention: a 90-person fintech client carried 480 GB of event history after 14 months on default retention; setting per-namespace retention to 30 days dropped that to 41 GB and saved roughly $190/month on Cloud. Where it breaks: workflow versioning is unforgiving if you skip GetVersion() calls during a deploy that touches in-flight workflows. Plan a determinism-test step in CI before the second production release. — Rafal Fila, ShadowGen
Integrations (4)
Other Workflow Automation Tools
Activepieces
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Workflow AutomationSee How It Ranks
Best Durable Workflow Engines for Production in 2026
A ranked list of the best durable workflow engines for production deployments in 2026. Durable workflow engines persist execution state to a database so that long-running workflows survive process restarts, deployments, and infrastructure failures. The ranking covers Temporal, Prefect, Apache Airflow, Camunda, Windmill, and n8n. Tools were evaluated on production reliability, developer experience, scalability, open-source health, and documentation quality. The shortlist intentionally mixes code-first engines (Temporal, Prefect, Airflow) with hybrid visual platforms (Camunda, Windmill, n8n) to reflect how production teams actually choose workflow engines in 2026.
Best No-Code Automation Platforms in 2026
A ranked list of no-code automation platforms in 2026. The ranking covers visual workflow builders that allow non-engineering teams to connect SaaS apps, route data, and add conditional logic without writing code. Entries cover proprietary cloud platforms (Zapier, Make, Pipedream, IFTTT) and open-source visual builders (n8n, Activepieces). Scoring reflects integration breadth, pricing accessibility, visual editor ease, reliability and error handling, and self-hosting availability.
Questions About Temporal Workflows
Can you self-host Trigger.dev in 2026?
Yes. Trigger.dev is open-source under the Apache 2.0 license and supports self-hosting via Docker Compose or Kubernetes. Self-hosting gives you full control over your job runs and data, but you take on operating Postgres, Redis, the worker queue, and the dashboard yourself.
What is the difference between Inngest and traditional cron for job scheduling?
Inngest is a durable event-driven job platform with retries, observability, and step functions, while traditional cron is a time-based scheduler with no built-in retry, queueing, or observability. Inngest is closer to a job queue than to cron, and is most useful for application background work that needs reliability guarantees.
What's the difference between Trigger.dev and Inngest?
Trigger.dev is a fully Apache 2.0 durable runner with task-based authoring, machine-size selection, and first-class self-host. Inngest is a developer-first event-driven step platform with an open-source dev server, a managed cloud, 50,000 step runs/month free, and $20/month Hobby pricing.
What's the difference between Inngest and Temporal?
Inngest is a developer-first durable functions platform with TypeScript and Python SDKs, 50,000 step runs/month free, and Hobby pricing from $20/month. Temporal is the heavyweight durable workflow engine with seven-language SDKs, Cassandra-backed scale, and Cloud pricing from roughly $200/month at low volume.
Learn More
When Temporal Beat Airflow for a Fintech ETL Replay Job
Anonymized retrospective of a fintech client choosing Temporal over Apache Airflow for a multi-day ETL replay job. Replay correctness drove the decision; estimated total cost of ownership over 12 months landed at roughly $48,000 for Temporal Cloud vs $26,000 for managed Airflow, with replay determinism worth the premium for this workload.
Inngest vs Temporal 2026: Durable Functions vs Durable Workflows
Inngest (2021, San Francisco) is a developer-first durable functions platform with TypeScript and Python SDKs, 50,000 step runs/month free, and Hobby pricing from $20/month. Temporal (2019) is the heavyweight durable workflow engine with seven-language SDK coverage, Cassandra-backed scale, and Cloud pricing from roughly $200/month at low volume or $2.5-4.5K/month self-host. This 2026 comparison covers programming model, pricing, scale ceiling, and operational footprint.
Trigger.dev vs Inngest 2026: OSS Durable Runners Compared
Trigger.dev (2022, London) is a fully Apache 2.0 durable runner with task-based authoring, machine-size selection, and first-class self-host. Inngest (2021, San Francisco) is a developer-first event-driven step platform with an open-source dev server and a managed cloud (50K step runs/month free, $20/month Hobby). This 2026 comparison covers license, programming model, pricing, observability, and self-host options.