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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 Lille, France. Team size: 50-100. Total funding raised: $36.0M. Latest round: Series A. Key investors include ["RTP Global","Alven","ISAI","Axeleo Capital"].

Founded
2021
Headquarters
Lille, France
Team size
50-100
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, and high-availability features)","Kestra Cloud (Managed orchestration-as-a-service)","Plugin Ecosystem (500+ connectors for AWS, GCP, Azure, Snowflake, Databricks, etc.)","Embedded VS Code Editor & 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

["Leroy Merlin","GfK","Sopra Steria","Hugging Face","Adeo"]

Major milestones

["Launched open-source version in 2022","Reached 500+ integrations/plugins by late 2024","Secured $25M Series A in February 2025 to scale enterprise AI workflow capabilities"]

Growth metrics

Over 13,000 GitHub stars; 500+ ecosystem plugins; 100% year-over-year community growth.

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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