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AI visibility report

Windmill ranks #9 in Workflow Orchestration & Durable Execution AI search.

Outside the top three on 19 of the 25 prompts buyers actually ask.

Temporal is cited on 14 of those losses.

25 prompts
5 platforms
Updated Jun 26, 2026 - refreshed weekly
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8percent
Presence Rate
Low presence

#9 among 11 vendors · still absent from 92% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

+0.38
Sentiment
-1.00.0+1.0
Positive
#9of 11

Peer Ranking

#1#11
Below averagein Workflow Orchestration & Durable Execution

Key Metrics

Presence Rate8.0%
Share of Voice3.4%
Avg Position#18.5
Docs Presence0.0%
Blog Presence3.2%
Brand Mentions4.8%

Platform Breakdown

ChatGPT
12%3/25 prompts
Gemini Search
8%2/25 prompts
Grok
8%2/25 prompts
Google AI Mode
8%2/25 prompts
Perplexity
4%1/25 prompts

Narrower footprint, stronger tone. Windmill ranks #9 on presence but #6 on sentiment. That means the brand is framed well when it appears, but still needs broader prompt-response coverage.

Where Windmill is losing

Prompts where competitors are visible and Windmill is not.

These prompt-level losses are the first prompts to track and repair.

Where Windmill is winning1

  • Looking for a workflow orchestration platform with a visual workflow replay UI so on-call engineers can debug a failed run without reading raw logs — what are my options?

    Avg # 3.0 · 1 platform

Where Windmill is losing5

  • What durable workflow platforms support scheduling and cron-like triggers natively so teams can replace job schedulers without adding another tool?

    Competitors on 4 platforms

    Track this prompt
  • Which durable workflow platforms handle partial outages gracefully by resuming in-progress executions automatically when the system recovers?

    Competitors on 4 platforms

    Track this prompt
  • Which workflow orchestration platforms can scale to millions of concurrent workflow executions without degrading scheduler throughput?

    Competitors on 4 platforms

    Track this prompt
  • What durable execution tools guarantee at-least-once execution and idempotency so workflows never silently drop work in a distributed system?

    Competitors on 4 platforms

    Track this prompt
  • I'm evaluating durable execution platforms for a startup with complex multi-step background jobs — which ones have the fastest time to value?

    Competitors on 4 platforms

    Track this prompt

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Windmill Labs is an open-source, code-first workflow orchestration and internal developer platform founded in 2022 (YC S22) and backed by Y Combinator, Gradient Ventures, and Bessemer Venture Partners. Built around a high-performance Rust-based job engine, Windmill enables engineering teams to turn scripts written in Python, TypeScript, Go, Bash, SQL, Rust, and other mainstream languages into auto-generated UIs, scheduled jobs, webhook-triggered APIs, and multi-step DAG workflows—all from a single self-hostable platform. It also includes a low-code app builder for custom internal dashboards and a full-code React/Svelte frontend builder. Trusted by 4,000+ organizations and 300+ enterprise customers including Zoom, Panther Labs, CFA Institute, and Photoroom, Windmill is SOC 2 Type II compliant and benchmarks at 13x faster throughput than Apache Airflow as a self-hostable workflow engine.

Windmill is an open-source, self-hostable developer platform and workflow engine that transforms scripts in mainstream languages into production-grade internal tools, multi-step DAG workflows, scheduled jobs, and custom UIs—without proprietary SDKs, vendor lock-in, or infrastructure boilerplate.

Key Facts

Founded
2022
HQ
Paris, France
Founders
Ruben Fiszel
Employees
10-20
Customers
4,000+ organizations (300+ enterprise)
Status
Private

Target users

Software engineers and platform engineers building internal tools and automationsDevOps and infrastructure teams managing background jobs and operational workflowsData engineers building ETL pipelines and scheduled data jobsSecurity-conscious enterprises in regulated industries requiring fully on-premise self-hosted deploymentEngineering-led organizations replacing proprietary workflow platforms to avoid vendor lock-inSaaS companies embedding workflow automation as a white-label feature of their product

Key Capabilities10

  • Polyglot script execution runtime supporting Python, TypeScript, Go, Bash, SQL, Rust, PHP, C#, PowerShell, R, and more
  • DAG-based visual flow editor with branching, parallelism, retries, approval steps, and step prioritization
  • Auto-generated UIs from script parameter signatures, eliminating frontend boilerplate
  • Low-code drag-and-drop app builder and full-code React/Svelte frontend builder connected to Windmill runnables
  • Git-native deployment: bidirectional Git sync, CLI, VS Code extension, staging/prod promotion, and GitOps workflows
  • Self-hostable via Docker Compose or Kubernetes Helm charts on any cloud or on-premise environment
  • Enterprise-grade RBAC with granular path-based ACLs, SSO, SAML/SCIM, OIDC, and per-workspace secret encryption
  • High-performance Rust-based job orchestrator with approximately 50 ms queue-to-execution overhead and ~13x faster benchmarks vs. Airflow
  • Full observability stack: real-time logs, audit trails, Prometheus metrics, HTTP tracing, queue metrics, and critical alerts
  • Windmill AI for natural-language script and flow generation, with MCP trigger support for AI agent orchestration

Key Use Cases7

  • Internal tool development: shared scripts, admin panels, and operational dashboards for ops and support teams
  • Multi-step workflow orchestration and automation for cross-team business processes
  • ETL and data pipeline construction, scheduling, and monitoring
  • Background job execution, cron scheduling, and drip automation at scale
  • DevOps automation: infrastructure management, secret rotation, CI/CD task execution
  • AI agent and LLM workflow orchestration with approval gates
  • Event-driven automation triggered by Kafka, Postgres CDC, webhooks, email, or message queues

Windmill customer outcomes

Zoom

Built a centralized enterprise demo platform on Windmill self-hosted on AWS EKS, enabling 60+ Global Architects to contribute polyglot workflows and supporting 400+ solution engineers with automated, consistent demo environments that eliminated manual account setup and scaling to

Panther Labs

30-day migration; 60% of platform migrated

Migrated their entire internal operations platform from the shuttered Airplane.dev to Windmill in 30 days; 60% of their internal platform now runs on Windmill, described as among the most stable components of their cybersecurity infrastructure.

CFA Institute

25 synthetic tests per 5 minutes

Migrated from n8n to Windmill for production-critical monitoring, achieving the scale and reliability needed to run 25 synthetic tests every 5 minutes continuously.

Pave

100+ scripts, 15+ crons in production

Self-hosts Windmill Enterprise Edition to run over 100 scripts and 15+ cron jobs, powering business-critical tasks and automations across multiple data stores for several engineering teams.

Recent Trend

Visibility+4.0 pts
Avg position+2.15
Sentiment-0.03

How AI describes Windmill3

...| | Prefect | Good | Good | Very approachable | Python-heavy teams | | Windmill | Excellent | Strong | Very operator-friendly | Internal tooling and au...

Looking for a workflow orchestration platform with a visual workflow replay UI so on-call engineers can debug a failed run without reading raw logs — what are my options?

chatgpt-searchDirect Windmill mention
Windmill (underrated) Windmill combines: * Visual workflows * Python/TypeScript steps * Branching * Loops * Retries * Error handlers * Human approval gates It's a good middle ground between low-code tools and full engineering-heavy orchestrators.

Looking for a workflow platform with strong LLM provider integrations for building AI agent pipelines with retry logic and state persistence — what should I look at?

chatgpt-searchDirect Windmill mention
Windmill/Restate-style patterns (TypeScript-friendly): several modern engines offer a TypeScript-first API surface with strong typings around runs, journaling, and state, enabling predictable replays and editor autocomplete.

Which durable workflow platforms support TypeScript-native workflows with strong type safety and IDE autocomplete?

perplexityDirect Windmill mention

Alternatives in Workflow Orchestration & Durable Execution6

Windmill positions itself as the highest-performance, code-first, open-source workflow orchestration platform that occupies the space between no-code automation tools and complex durable execution engines.

  • Its headline claim is being the fastest self-hostable workflow engine, benchmarked at 13x faster than Airflow.
  • Unlike pure orchestration tools such as Temporal or Prefect, Windmill bundles script execution, a DAG flow editor, auto-generated UIs, a low-code app builder, secret management, and RBAC into a single deployable platform.
  • Unlike no-code platforms, every module is real code in mainstream languages with no proprietary SDKs, enabling full portability.
  • Its open-source AGPLv3 core and self-host-first ethos differentiate it from SaaS-only competitors, while its polyglot runtime (Python, TypeScript, Go, Bash, SQL, Rust, and more) and Git-native deployment appeal to engineering-led teams who want infrastructure control without operational overhead.
View category comparison hub

Reviews

Praised

  • Best-in-class performance and low execution latency
  • Open-source self-hostable with no vendor lock-in
  • Polyglot language support across Python, TypeScript, Go, Bash, SQL, and more
  • Auto-generated UIs eliminate frontend boilerplate
  • Flow approval steps enable human-in-the-loop automation
  • Highly responsive founder and engineering team support
  • Fast Docker Compose deployment and quick time-to-production
  • Git-native version control and collaboration workflows

Criticized

  • Steep UX learning curve; interface is daunting for new users
  • Enterprise pricing charges per worker on customer-owned self-hosted infrastructure
  • Community Edition has restrictive feature caps on SSO users, groups, and trigger types
  • Arbitrary limits in free tier (e.g., 50 MB S3 upload cap, 3-workspace ceiling)
  • Very limited third-party review volume reduces external social proof

Windmill has a very limited formal review footprint on G2 (2 reviews, 5.0/5) making statistical inference difficult. Community sentiment from GitHub issues, Hacker News discussions, and named customer testimonials is broadly positive, consistently praising performance, polyglot language support, the flow approval/human-in-the-loop feature, ease of Docker deployment, and the responsiveness of the founding team. Recurring criticisms focus on a steep initial UX learning curve, the Enterprise pricing model's per-worker charges on self-hosted infrastructure, and the feature caps present in the Community Edition free tier.

Pricing

Free/Community Edition: $0 with unlimited executions, up to 50 users across 3 workspaces, community Discord support, and notable feature restrictions (no audit logs, no Git sync, no Kafka/NATS/SQS triggers, 10 SSO user cap). Enterprise Edition (self-hosted or cloud): starts at $120/month base, plus per-seat fees ($20/month per developer, $10/month per operator) and compute-unit fees (~$50/month per standard worker, $50/month for 8 native workers). A one-month trial is available without a credit card. Non-profit and Pro tiers are offered at reduced rates. Enterprise includes 24/7 priority support with a 3-hour SLA, a dedicated Slack/Discord channel, audit logs, SAML/SCIM, Git sync, S3 dependency cache, autoscaling, and advanced flow features.

Limitations

  • The Community Edition has notable feature restrictions: maximum 3 workspaces, 50 users, 4 groups, and 10 SSO users; no audit logs, no Git sync, no Kafka/NATS/SQS triggers, and S3 uploads capped at 50 MB.
  • Enterprise self-hosted pricing charges per developer seat and per compute unit (worker), which has drawn public criticism from users who argue that charging for workers running on customer-owned infrastructure is counterintuitive and a barrier in regulated industries.
  • The platform UX, while feature-rich, is reported as daunting and complex for onboarding new users.
  • G2 formal review volume is extremely low (2 reviews), limiting external social proof.
  • The platform requires coding proficiency, reducing accessibility for non-technical operators compared to pure no-code alternatives.

Frequently asked questions

Topic coverageCoverage by buyer topic

Topic Coverage

Capability0/5DevEx2/5Integrations &Ecosystem1/5Performance &Reliability0/5Setup & First Run3/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptGemini SearchChatGPTPerplexityGrokGoogle AI Mode
Capability0/5 cited (0%)

What workflow orchestration tools support human-in-the-loop workflows where execution pauses indefinitely until a person approves the next step?

I need a workflow engine that supports saga patterns for distributed transactions with automatic compensation on failure — what are my options?

Which durable workflow platforms support versioning workflows so you can deploy code changes without breaking in-flight executions?

Which platforms handle long-running workflows that can sleep for days or months and resume exactly where they left off after an external event?

Which durable execution platforms handle fan-out scenarios where a parent workflow spawns thousands of child tasks and waits for all results?

Developer Experience2/5 cited (40%)

Which durable workflow platforms support TypeScript-native workflows with strong type safety and IDE autocomplete?

Which workflow orchestration platforms let developers write workflows in plain code without learning a proprietary DSL or YAML configuration?

What durable execution tools have the best local development experience so engineers can step through a long-running workflow without deploying to a staging environment?

What workflow orchestration tools do platform teams recommend for reducing the custom infrastructure a product team needs to build for reliable background jobs?

Looking for a workflow orchestration platform with a visual workflow replay UI so on-call engineers can debug a failed run without reading raw logs — what are my options?

Integrations & Ecosystem1/5 cited (20%)

What durable execution tools work well with serverless compute platforms so individual workflow steps run as isolated functions without dedicated workers?

What durable workflow platforms support scheduling and cron-like triggers natively so teams can replace job schedulers without adding another tool?

Which workflow orchestration tools integrate with observability platforms so traces span across workflow steps and external API calls?

Which workflow orchestration platforms integrate natively with event streaming platforms to trigger workflows from topic messages?

Looking for a workflow platform with strong LLM provider integrations for building AI agent pipelines with retry logic and state persistence — what should I look at?

Performance & Reliability0/5 cited (0%)

Which durable workflow platforms handle partial outages gracefully by resuming in-progress executions automatically when the system recovers?

Which workflow platforms have the lowest latency for triggering a new workflow execution in response to an inbound webhook event?

Which workflow orchestration platforms can scale to millions of concurrent workflow executions without degrading scheduler throughput?

What durable execution tools guarantee at-least-once execution and idempotency so workflows never silently drop work in a distributed system?

What orchestration tools are battle-tested for production use at high scale — which ones do high-growth startups rely on for mission-critical workflows?

Setup & First Run3/5 cited (60%)

What workflow orchestration platforms offer a managed cloud service with minimal ops overhead for a 10-person backend team?

Which durable workflow tools have self-hosted options that are straightforward to deploy on a single server for a team not ready for managed services?

What's the easiest durable workflow platform to adopt for a backend team tired of managing unreliable cron jobs and retry logic from scratch?

I'm evaluating durable execution platforms for a startup with complex multi-step background jobs — which ones have the fastest time to value?

Which workflow orchestration tools can a Node.js team integrate into an existing codebase without rewriting their business logic?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1Temporal48.8%37.0%23.2%26.4%39.2%#20.8+0.38
2Inngest22.4%11.8%8.8%11.2%22.4%#30.5+0.44
3AWS Step Functions20.0%8.7%4.8%0.0%16.0%#26.0+0.37
4Prefect17.6%9.6%4.0%8.0%13.6%#26.4+0.39
5Orkes16.0%5.2%3.2%8.8%15.2%#22.0+0.41
6Kestra15.2%6.2%6.4%3.2%13.6%#29.9+0.36
7Restate12.8%5.9%5.6%5.6%12.8%#31.8+0.39
8Trigger.dev10.4%6.8%0.8%0.8%10.4%#34.5+0.36
9Windmill8.0%3.4%0.0%3.2%4.8%#18.5+0.38
10Camunda6.4%3.7%2.4%6.4%6.4%#62.6+0.31
11Hatchet4.8%1.7%1.6%2.4%4.8%#24.1+0.47

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