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Kestra

Declarative orchestration for data, AI, and infra

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Kestra is an open-source orchestration platform that uses declarative YAML to define event-driven and scheduled workflows for data pipelines, infrastructure automation, and AI workloads. With over 1,200 plugins, it connects to databases, cloud services, APIs, and SaaS tools without custom glue code. Kestra reached version 1.0 LTS with agentic AI capabilities, SDKs for Python, TypeScript, Java, and Go, and SOC 2 compliance. Clients include Leroy Merlin, Huawei, Tencent, and Decathlon.

Kestra is an open-source orchestration platform co-founded in France by Emmanuel Darras and Ludovic Dehon, backed by a $3M seed round from ISAI and Axeleo Capital with angel investors from Datadog, Collibra, and Strapi. Unlike Apache Airflow which requires Python DAG definitions, Kestra uses declarative YAML configuration files where orchestration logic is language-agnostic — you describe what should happen (run this SQL query, call this API, execute this Python script) and Kestra handles scheduling, retries, timeouts, error handling, and parallel execution. The YAML definition stays in sync automatically whether you edit from the web UI, the API, Terraform, or a CI/CD pipeline, so workflows remain version-controlled and auditable regardless of how they are modified.

The platform supports multiple trigger types: cron schedules, webhooks, file detection events, and real-time event streams with millisecond latency. Over 1,200 plugins cover databases, cloud storage, messaging systems, SaaS applications, and infrastructure tools. Tasks can execute code in Python, Bash, Node.js, Go, R, Julia, or Docker containers, and the plugin ecosystem continues to expand for custom integrations. The web UI provides a visual flow editor with syntax highlighting, auto-completion, and real-time validation alongside an execution dashboard that shows dependency maps, logs, metrics, and flow-level SLAs. Namespaces provide logical grouping and isolation for multi-team environments.

Kestra 1.0 LTS introduced agentic AI capabilities powered by OpenAI, Google Gemini, Anthropic Claude, Mistral, DeepSeek, and Ollama, with features like Copilot for generating workflow YAML from natural language descriptions and AI agents that combine memory, web search, code execution, MCP clients, and file system operations. Enterprise features include SSO, RBAC, tenant isolation, encrypted secrets, and audit logs with SOC 2 compliance. Deployment options range from Docker and Kubernetes self-hosting (free forever) to Kestra Cloud, a fully managed platform with auto-scaling. Enterprise clients processing millions of orchestration events per month include Leroy Merlin, Huawei, Tencent, Gorgias, Sophia Genetics, and Decathlon.

Pricing

Open-source free self-hosted, Enterprise and Cloud tiers paid

Platforms

Java-based, Docker, Kubernetes, AWS CloudFormation, Kestra Cloud

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