AI visibility report
Kestra ranks #5 in Workflow Orchestration & Durable Execution AI search.
Outside the top three on 18 of the 25 prompts buyers actually ask.
Temporal is cited on 12 of those losses.
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Track Kestra across these prompts daily.
Start free trial#5 among 11 vendors · still absent from 88% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
ChatGPT
Grok
Gemini Search
Google AI Mode
Perplexity
Bing CopilotVisible, but narrative can improve. Kestra ranks #5 on presence but #6 on sentiment. The brand appears relatively often, but competitors may be getting more favorable language when they appear.
Where Kestra is losing
Prompts where competitors are visible and Kestra is not.
These prompt-level losses are the first prompts to track and repair.
Where Kestra is winning2
Which workflow orchestration platforms integrate natively with event streaming platforms to trigger workflows from topic messages?
Avg # 1.5 · 2 platforms
Which workflow orchestration tools integrate with observability platforms so traces span across workflow steps and external API calls?
Avg # 11.5 · 2 platforms
Where Kestra is losing5
Which workflow orchestration platforms let developers write workflows in plain code without learning a proprietary DSL or YAML configuration?
Competitors on 4 platforms
Track this promptWhat durable execution tools have the best local development experience so engineers can step through a long-running workflow without deploying to a staging environment?
Competitors on 4 platforms
Track this promptWhat 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 promptI'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 promptWhat's the easiest durable workflow platform to adopt for a backend team tired of managing unreliable cron jobs and retry logic from scratch?
Competitors on 3 platforms
Track this prompt
Track Kestra daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Kestra is an open-source, event-driven workflow orchestration platform founded in 2021 and headquartered in Paris, France. Built around a declarative YAML interface and a plugin ecosystem exceeding 1,300 connectors, Kestra enables data engineers, platform engineers, and software teams to design, schedule, and govern workflows spanning data pipelines, infrastructure automation, AI agent systems, and business processes from a unified control plane. It supports task execution in any programming language, event-driven and scheduled triggers, Git-native CI/CD, and deployment across cloud, on-premises, and air-gapped environments. An Enterprise Edition adds RBAC, SSO, multi-tenancy, and audit logs, while a managed Cloud offering is in early access. The platform reported over 2 billion workflow executions in 2025, a 20x year-over-year increase, with adoption across more than 30,000 organizations including Apple, JPMorgan Chase, Toyota, and Bloomberg. Kestra has raised $36M in total funding.
Kestra is a declarative, event-driven, open-source orchestration platform that unifies data pipeline, infrastructure automation, AI workflow, and business process orchestration under a single YAML-based control plane, supported by 1,300+ plugins, a visual UI with real-time DAG visualization, and enterprise governance capabilities including RBAC, multi-tenancy, audit logs, and air-gapped deployment.
Key Facts
- Founded
- 2021
- HQ
- Paris, France
- Founders
- Emmanuel Darras, Ludovic Dehon
- Funding
- $36M
- Customers
- 30,000+ organizations
- Status
- Private
Target users
Key Capabilities10
- Declarative YAML workflow definitions auto-synchronized between code and UI
- Event-driven and scheduled triggers (cron, webhooks, message queues, custom events)
- 1,300+ pre-built plugins for cloud, data, infra, SaaS, and AI integrations
- Language-agnostic task execution (Python, Bash, Node.js, Go, R, and more)
- AI Copilot (natural language to workflow) and agentic workflow orchestration
- Git-native CI/CD integration and version control for workflow promotion
- Enterprise RBAC, SSO/OIDC, LDAP, SCIM, multi-tenancy, and audit logs
- Hybrid and air-gapped deployment (Docker, Kubernetes, AWS, GCP, Azure, on-prem)
- Real-time DAG topology viewer and embedded code editor with auto-completion
- Worker groups and remote task runners for isolated or scalable compute
Key Use Cases7
- Data pipeline orchestration (ETL/ELT with dbt, Airbyte, Spark, BigQuery)
- Infrastructure automation (Terraform, Ansible, CI/CD standardization)
- AI and ML workflow orchestration (agent pipelines, RAG, model training and deployment)
- Cybersecurity operations and compliance workflow automation
- Microservice and API coordination across distributed systems
- Business process automation for cross-functional teams
- Legacy orchestration (Airflow, cron, scripts) modernization and consolidation
Kestra customer outcomes
Billions of records processed; 100+ users empowered; production in <3 months
Kestra orchestrates critical cybersecurity pipelines, enabling analysts to define and run workflows themselves without waiting on engineering, processing billions of rows of data and thousands of weekly API pulls.
Infrastructure provisioning reduced from 6 months to 6 days
BHP replaced its VMware vRA environment across global mining facilities with Kestra, modernizing infrastructure automation across both IT and OT environments and dramatically accelerating provisioning.
Apple's ML team uses Kestra to orchestrate large-scale data pipelines between the company's data warehouse and AI systems, with hundreds of AI engineers able to build pipelines without managing underlying infrastructure.
900% increase in data production
By adopting Kestra as a unified orchestration and workflow layer, DataMesh at Scale dramatically expanded its data production capacity.
Recent Trend
How AI describes Kestra3
Kestra : A modern, open-source platform that uses a declarative YAML-based approach to define workflows, making it excellent for GitOps.
Which durable workflow platforms support versioning workflows so you can deploy code changes without breaking in-flight executions?
Kestra : An open-source, event-driven orchestrator that is gaining traction for its declarative approach and versatility in both data and business process automation.
Which workflow orchestration platforms can scale to millions of concurrent workflow executions without degrading scheduler throughput?
Kestra : An open-source, language-agnostic orchestration platform that provides a strong visual interface.
What's the easiest durable workflow platform to adopt for a backend team tired of managing unreliable cron jobs and retry logic from scratch?
Most cited sources8
- D8
Kestra, Open Source Declarative Orchestration Platform
develop.kestra.io·Documentation
6Kestra, Open Source Declarative Orchestration Platform
kestra.io·Landing Page
- 5
Best Temporal Alternatives & Competitors in 2026 | Kestra | Kestra
kestra.io·Listicle
- 5
Airflow Alternatives: Top Workflow Orchestrators | Kestra
kestra.io·Comparison
- 4
Kestra, Open Source Declarative Orchestration Platform
kestra.io·Product Page
- 3
Self-Hosted Workflow Orchestration Tools | Kestra | Kestra
kestra.io·Listicle
Alternatives in Workflow Orchestration & Durable Execution6
Kestra positions itself as the 'unified orchestration control plane' for the AI era, differentiating from single-domain tools like Apache Airflow (data-only, Python-centric) or Temporal (durable execution for distributed systems) by offering a single YAML-declarative platform that spans data pipelines, infrastructure automation, AI/ML workflows, and business processes.
- Its language-agnostic, plugin-first architecture (1,300+ plugins) and dual code-and-UI authoring model are designed to lower the adoption barrier across engineering and non-engineering teams alike, targeting organizations that have accumulated fragmented orchestration tooling across teams.
Reviews
Praised
- Declarative YAML workflow authoring
- Language-agnostic task execution
- Extensive plugin ecosystem (1,300+)
- Dual code-and-UI authoring that stays in sync
- Real-time DAG topology visualization
- Responsive team and community support
- Easy Docker/Kubernetes deployment
- Strong documentation and blueprint library
Criticized
- Logging and task-run UI can be overwhelming in complex deployments
- Enterprise and Cloud pricing not publicly disclosed
- Smaller community footprint than established incumbents like Apache Airflow
- Kestra 2.0 distributed execution engine not yet generally available
Community and user sentiment is broadly positive. G2 and Product Hunt reviewers consistently praise the declarative YAML model, language-agnostic execution, the extensive plugin ecosystem, and responsive team support. One G2 reviewer cited achieving a 98% success rate for data integration and automation pipelines after adopting Kestra. The platform's ability to serve both technical developers (via code/Git) and less technical users (via UI) is frequently highlighted as a differentiator. Criticism is limited but includes the logging and task-run UI being overwhelming in complex deployments, and some users noting the platform's relative youth compared to established incumbents.
Pricing
Open Source tier is free forever and self-hosted (Docker or Kubernetes), with unlimited flows and executions and access to 1,200+ plugins. Enterprise Edition is offered as an annual subscription on a per-instance model with custom pricing (contact sales); it adds RBAC, SSO/OIDC, LDAP, SCIM, multi-tenancy, audit logs, worker groups, external secrets manager, plugin versioning, and SLA-backed support tiers (Standard: 24h P0 SLA, 8x5; Premium: 6h P0, dedicated channel; Platinum: 1h P0, 24x7). Cloud Edition is a fully managed, usage-based service in early/request-access stage with no publicly listed price.
Limitations
- Enterprise and Cloud pricing is not publicly disclosed, requiring a sales conversation.
- The YAML-centric authoring model, while accessible, still carries a learning curve for non-technical business users despite UI parity.
- The open-source community, while fast-growing (~26,500 GitHub stars), is smaller than entrenched incumbents like Apache Airflow.
- Kestra 2.0's distributed execution engine—with gRPC-based workers and decoupled queues—is still in active development and not yet GA.
- The managed Cloud offering was in early/request-access status as of early 2026.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Perplexity | ChatGPT | Bing Copilot | Gemini Search | Google AI Mode | Grok |
|---|---|---|---|---|---|---|
Capability2/5 cited (40%) | ||||||
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? | ||||||
I need a workflow engine that supports saga patterns for distributed transactions with automatic compensation on failure — what are my options? | ||||||
What workflow orchestration tools support human-in-the-loop workflows where execution pauses indefinitely until a person approves the next step? | ||||||
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 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? | ||||||
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? | ||||||
Which durable workflow platforms support TypeScript-native workflows with strong type safety and IDE autocomplete? | ||||||
What workflow orchestration tools do platform teams recommend for reducing the custom infrastructure a product team needs to build for reliable background jobs? | ||||||
Integrations & Ecosystem3/5 cited (60%) | ||||||
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 & Reliability2/5 cited (40%) | ||||||
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? | ||||||
Which workflow platforms have the lowest latency for triggering a new workflow execution in response to an inbound webhook event? | ||||||
Which durable workflow platforms handle partial outages gracefully by resuming in-progress executions automatically when the system recovers? | ||||||
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? | ||||||
What's the easiest durable workflow platform to adopt for a backend team tired of managing unreliable cron jobs and retry logic from scratch? | ||||||
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? | ||||||
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? | ||||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Temporal | 34.7% | 35.2% | 12.0% | 22.0% | 28.7% | #22.8 | +0.38 |
| 2 | Inngest | 19.3% | 14.0% | 6.7% | 6.0% | 19.3% | #30.2 | +0.44 |
| 3 | Restate | 13.3% | 8.3% | 4.0% | 4.0% | 13.3% | #25.9 | +0.47 |
| 4 | AWS Step Functions | 12.7% | 8.3% | 2.0% | 0.0% | 10.7% | #27.4 | +0.44 |
| 5 | Kestra | 12.0% | 6.8% | 4.0% | 4.0% | 12.0% | #27.7 | +0.41 |
| 6 | Trigger.dev | 9.3% | 7.5% | 0.7% | 0.7% | 9.3% | #35.4 | +0.30 |
| 7 | Orkes | 8.7% | 3.8% | 1.3% | 6.0% | 8.7% | #27.2 | +0.32 |
| 8 | Prefect | 8.7% | 6.0% | 1.3% | 4.7% | 8.7% | #36.6 | +0.42 |
| 9 | Camunda | 7.3% | 5.5% | 2.7% | 6.0% | 7.3% | #50.8 | +0.26 |
| 10 | Hatchet | 3.3% | 2.3% | 2.0% | 1.3% | 3.3% | #17.9 | +0.58 |
| 11 | Windmill | 3.3% | 2.3% | 0.7% | 2.0% | 3.3% | #25.8 | +0.27 |
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