Artillery vs Temporal AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Artillery | Temporal AI |
|---|---|---|
| Pricing | Free Open Source CLI / Artillery Cloud: starting at $99/mo for 250k virtual users | Free self-hosted / Temporal Cloud usage-based starting at $0.025 per Action, with free tier |
| Primary Use Case | Load testing & performance monitoring for APIs and web apps | Durable execution for AI agents & long-running workflows |
| Key Feature | Playwright load testing + synthetic monitoring | Automatic state persistence & recovery |
| Integration Depth | CI/CD deep integration: GitHub Actions, GitLab CI, Datadog, OpenTelemetry | Deploys on Kubernetes, Docker, Azure (infrastructure) |
| Latest News Impact | CLI v2.0.31: W3C Trace Context, Fargate self-termination, Playwright 1.59.1 | Usage-based billing & custom roles (pre-release), improved cost transparency |
Choose Temporal.ai if you need bulletproof orchestration for AI agents or microservices that must survive failures without losing state. Choose Artillery if your priority is performance testing, synthetic monitoring, and CI/CD-integrated load testing—especially for browser-based scenarios with Playwright. They solve different problems; the decision is about reliability vs. performance verification.
Full-stack performance & reliability testing with load, Playwright E2E, and monitoring.
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Durable execution platform that keeps AI agents and critical workflows running through failures with automatic state capture and retries.
Visit WebsiteWhat real users say: Artillery vs Temporal AI
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Artillery
90 mentions across 6 sources · 10% positive — critical
Hacker News, App Store, Bluesky, Stack Overflow, GitHub, Lemmy
What users praise
- • Native Playwright integration for browser-based load testing.
- • Serverless distributed execution on AWS Lambda, Fargate, and Azure.
- • Turbo Runner shards and parallelizes Playwright tests up to 10x faster.
- • CI/CD native with GitHub Actions, GitLab CI, and PR comment support.
What frustrates them
- • Historical memory leak issues in longer tests (2016).
- • Tests can hang indefinitely without exit (2017 report).
- • Remote execution does not populate processEnvironment variables.
- • Limited community data makes reliability assessment difficult.
Researched Jul 6, 2026
Temporal AI
32 mentions across 2 sources · 63% positive — mixed
YouTube, Lemmy
What users praise
- • Durable execution automatically captures state and resumes after failures, no manual intervention needed.
- • Automatic retries and timeouts for activities eliminate common API failure headaches.
- • Full visibility UI lets you see exactly what's happening in every workflow step.
- • Native SDKs for Python, Go, TypeScript, and more provide code flexibility without vendor lock-in.
What frustrates them
- • Learning curve to master workflow vs activity concepts for newcomers.
- • Self-hosting setup can be complex; may need to invest in infrastructure.
- • Not a drop-in replacement for simple cron jobs—overkill for basic scheduling.
- • Serverless Workers for Google Cloud Run are only pre-release, limiting production use.
Researched Aug 18, 2026
Who should pick which
- AI Agent DeveloperPick: Temporal AI
Temporal's durable execution ensures AI agents survive crashes and retries, with human-in-the-loop support and integration with OpenAI Agents SDK and Google ADK.
- SRE / DevOps EngineerPick: Artillery
Artillery provides production-grade load testing, synthetic monitoring, and deep CI/CD integration (GitHub Actions, Datadog) for continuous performance validation.
- Microservices ArchitectPick: Temporal AI
Temporal's Saga pattern, automatic retries, and state persistence make it ideal for orchestrating multi-step microservices with rollback compensation.
- QA Automation EngineerPick: Artillery
Artillery's Playwright integration and Turbo Runner allow running large-scale E2E browser tests 10x faster with automatic parallelization.
Frequently Asked Questions
Artillery vs Temporal AI: which should you choose?
Choose Temporal.ai if you need bulletproof orchestration for AI agents or microservices that must survive failures without losing state. Choose Artillery if your priority is performance testing, synthetic monitoring, and CI/CD-integrated load testing—especially for browser-based scenarios with Playwright. They solve different problems; the decision is about reliability vs. performance verification.
Can Temporal be used for performance testing?
Not directly. Temporal is for workflow orchestration, not load generation. For performance testing, use Artillery.
Does Artillery provide durable execution?
No. Artillery focuses on load testing and monitoring, not workflow durability. It does not persist state across failures.
Which tool is better for AI agent workflows?
Temporal.ai is purpose-built for AI agent orchestration with durable execution, human-in-the-loop, and SDKs for Python/TypeScript.
Does Artillery support GraphQL load testing?
Yes. Artillery natively supports HTTP, GraphQL, Socket.IO, and WebSocket load testing scenarios.
What integrations does Temporal have?
Temporal integrates with OpenAI Agents SDK, Google ADK, Slack, Salesforce, Twilio, Docker, Kubernetes, and more.
What integrations does Artillery have?
Artillery integrates with Datadog, OpenTelemetry, New Relic, Splunk, Honeycomb, AWS CloudWatch, InfluxDB, StatsD, Mixpanel, GitHub Actions, and GitLab CI/CD.
Can both tools be used together?
Yes. Use Temporal for reliable workflow orchestration and Artillery for load testing those workflows. They are complementary.
Which tool has a better free tier?
Both have free tiers. Temporal offers a generous free Cloud tier with usage limits; Artillery's free tier is the open-source CLI. Choose based on need: workflow durability vs. load testing.
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Last reviewed: July 3, 2026