Kestra
Category: AI Developer Tools
An open-source, declarative orchestration platform designed to unify data, AI, and business workflows through an Infrastructure-as-Code approach. Kestra was founded in 2021. The company is led by Emmanuel Darras. Based in La Madeleine, France. Team size: 101-500. Total funding raised: $36.0M. Latest round: Series A. Key investors include RTP Global, Alven, ISAI, Axeleo Capital.
- Founded
- 2021
- Headquarters
- La Madeleine, France
- Team size
- 101-500
- Total funding
- $36.0M
Value proposition
Simplifies complex workflow automation by using a YAML-based declarative interface, allowing both developers and less-technical users to build, scale, and monitor event-driven pipelines without the overhead of managing complex code-heavy frameworks.
Products and solutions
Kestra Open Source (Core orchestration engine), Kestra Enterprise (Advanced security, governance, HA, Policies, Cases), Kestra Cloud (Managed orchestration-as-a-service), Kestra 2.0 (Decoupled control/data plane, workers anywhere, MCP Tool Trigger, AI Copilot agentic loop), Plugin Ecosystem (2,000+ connectors), Embedded editor, No-code UI & Blueprint Library
Unique value
Unlike traditional 'code-only' orchestrators (like Airflow), Kestra uses a declarative YAML approach that treats workflows as configuration, making them easier to version, deploy, and understand across different teams while remaining language-agnostic.
Target customer
Data engineers, DevOps teams, AI/ML engineers, and enterprise IT departments in mid-to-large scale organizations.
Industries served
Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare, Manufacturing & Logistics
Technology advantage
Built on a high-performance, event-driven architecture (Java/Micronaut) that supports real-time triggers and massive scalability. It bridges the gap between low-code simplicity and high-code flexibility by allowing users to embed scripts (Python, R, Node.js) directly within declarative definitions.
How they differentiate
Kestra differentiates through a declarative YAML-based approach, making it language-agnostic and accessible to both engineers and non-coders. Unlike Python-heavy competitors, it uses a high-performance Java-based engine and an event-driven architecture that treats workflows as configuration (Infrastructure-as-Code).
Main competitors
Apache Airflow (Astronomer), Prefect, Dagster
Key partnerships
Cloud Infrastructure Providers (AWS, Google Cloud, Microsoft Azure), Modern Data Stack Partners (Snowflake, Databricks, dbt Labs, Airbyte), Venture Partners (RTP Global, Alven, ISAI, Axeleo Capital)
Notable customers
Apple, JPMorgan Chase, Toyota, Deutsche Telekom, BHP, Crédit Agricole, Bloomberg, Xiaomi, Leroy Merlin, Amdocs
Major milestones
Launched open-source version in 2021/2022, Reached 1,200+ plugins by Series A (Mar 2026); 2,000+ by Sep 2026, Secured $25M Series A in March 2026 (RTP Global), Launched Kestra 2.0 in September 2026 (decoupled control plane, workers anywhere, MCP agent tools)
Growth metrics
28,000+ GitHub stars; 2,000+ ecosystem plugins; 30,000+ organizations; 2B+ workflows executed in 2025 (20× YoY).
Market positioning
A modern 'Orchestration-as-Code' challenger in the Data & AI infrastructure space, positioning itself as a more scalable and user-friendly alternative to legacy tools like Airflow.
Geographic focus
Global reach via open-source community, with a primary commercial focus on Europe (HQ in France) and North America.
Patents and IP
No registered patents disclosed; relies on proprietary Enterprise features and open-source copyright/trademark protections.
About Emmanuel Darras
Emmanuel Darras is a serial entrepreneur with over 20 years of leadership experience in the French tech ecosystem. He co-founded and served as CEO of Ankama (2001–2018), a global entertainment and gaming giant known for 'Dofus'. Following his 17-year tenure at Ankama, he served as the Head of Data at Leroy Merlin (2018–2022), where he identified the critical need for a unified, declarative orchestration platform, leading to the founding of Kestra.
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Official website: https://kestra.io