Kestra
by Kestra Technologies
Open-source, event-driven orchestration platform for data, AI, and infrastructure workflows, defined declaratively in YAML. Kestra is an open-source, event-driven orchestration platform for data, AI, and infrastructure workflows, built by Kestra Technologies (founded 2021 in Paris, now headquartered in New York). Workflows are defined declaratively in YAML and run on schedules, webhooks, polling, or real-time events such as message-queue messages and object-storage changes, with backfills available from the UI after outages.
Key Facts
adoption
| Attribute | Value | As of | Source |
|---|---|---|---|
| GitHub Stars | 27,500+ GitHub stars | Jul 2026 | GitHub API |
| Adoption | 30,000+ organizations; 2 billion workflow executions in 2025 (vendor-claimed) | Jul 2026 | PR Newswire |
| Named Customers | Apple, JPMorgan Chase, Toyota, Deutsche Telekom, BHP, Credit Agricole, Bloomberg, Xiaomi (vendor-named, March 2026) | Jul 2026 | PR Newswire |
technical
| Attribute | Value | As of | Source |
|---|---|---|---|
| License | Apache 2.0 (core fully open-source; Enterprise Edition is separate closed-source software from a private registry) | Jul 2026 | Kestra GitHub repository |
| Workflow Definition | Declarative YAML flows with an embedded editor, live topology view, and execution timeline | Jul 2026 | Kestra features page |
| Deployment | Self-hosted on Docker, Kubernetes (Helm), or VMs including air-gapped; managed Kestra Cloud in early access (July 2026) | Jul 2026 | Kestra docs |
Integrations
| Attribute | Value | As of | Source |
|---|---|---|---|
| Plugins | 1,800+ plugins (vendor-claimed) | Jul 2026 | Kestra website |
product
| Attribute | Value | As of | Source |
|---|---|---|---|
| Pricing Structure | Open Source free (Apache 2.0, unlimited flows and executions); Enterprise Edition quote-based annual per-instance subscription; Kestra Cloud usage-based in early access. No public dollar pricing | Jul 2026 | Kestra pricing page |
| Version | Stable 1.3.x line (v1.3.30, July 2026) with a maintained 1.0.x LTS; Kestra 2.0 in release-candidate stage | Jul 2026 | GitHub releases |
company
| Attribute | Value | As of | Source |
|---|---|---|---|
| Series A | $25M Series A led by RTP Global (March 2026); total funding $36M | Jul 2026 | PR Newswire |
capability
| Attribute | Value | As of | Source |
|---|---|---|---|
| Script Languages | Dedicated script tasks for Python, R, Node.js, Shell, PowerShell, C#, Julia, Ruby, Go, Deno, Lua, Bun, PHP, Perl, and Groovy; SQL via database plugins | Jul 2026 | Kestra docs |
| Triggers | Schedule (cron), flow, webhook, polling, and realtime triggers including Kafka, SQS, and object-storage events; backfills from the UI | Jul 2026 | Kestra docs |
| Git Integration | Bidirectional Git sync: GitOps pull (Git as source of truth) or push from the UI editor to Git | Jul 2026 | Kestra docs |
Pricing
Kestra offers multiple products and plan tiers whose usage allowances vary by plan; the vendor's pricing page is the authoritative reference for current plans and limits.
View official pricing →About Kestra
Kestra is an open-source, event-driven orchestration platform for data, AI, and infrastructure workflows, built by Kestra Technologies (founded 2021 in Paris, now headquartered in New York). Workflows are defined declaratively in YAML and run on schedules, webhooks, polling, or real-time events such as message-queue messages and object-storage changes, with backfills available from the UI after outages.
The engine is Java-based and self-hosts on Docker, Kubernetes (official Helm charts), or plain VMs, including air-gapped environments. The core repository is licensed Apache 2.0 with no enterprise carve-out; the Enterprise Edition (RBAC, SSO/SCIM, audit logs, worker groups, tenant isolation) is separate closed-source software distributed from a private registry under a license key, and a managed Kestra Cloud is in early access as of July 2026. The platform ships 1,800+ plugins (vendor count, July 2026) and dedicated script tasks for Python, R, Node.js, Shell, PowerShell, C#, Julia, Ruby, Go, and other languages, with SQL handled through database plugins and bidirectional Git sync for version control.
As of July 2026 the project has 27,500+ GitHub stars, a stable 1.3.x release line alongside a maintained 1.0.x LTS, and Kestra 2.0 in release-candidate stage. Kestra Technologies raised a $25 million Series A led by RTP Global in March 2026 (total funding $36 million) and reports 30,000+ organizations and 2 billion workflow executions in 2025, with named customers including Apple, JPMorgan Chase, Toyota, Deutsche Telekom, and Bloomberg. Kestra competes most directly with Apache Airflow, Prefect, and Windmill in the orchestration space.
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This ranking answers one question: how many real business applications can an AI agent act on out of the box? It evaluates nine platforms as of August 2026 on the reach they give an agent, not on the workflow logic they can express. That boundary is deliberate, because two neighbouring pages on this site answer different questions. Best Process Orchestration Platforms 2026 scores multi-step process control, error handling and state management. Best AI Agent Platforms 2026 scores building and hosting the agent itself. This page scores the layer between them: the connective tissue that lets an agent already built elsewhere reach the applications a business actually runs on. A platform that leads one of those pages can place low here, and two of them do. Scores derive from application and action catalogue counts, the exposure model each platform uses to publish those catalogues to an agent, setup effort, failure handling and cost per agent action. Every figure was retrieved from a vendor-owned surface on 11 August 2026 unless an earlier date is stated against it.
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.