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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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