Unify orchestration for all engineers. Build and govern
all your workflows — Everything-as-Code, and from the UI.
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Onboard new team members quickly, and maintain your workflows with minimal effort thanks to Kestra’s declarative syntax.
Configure your workflows to run on a schedule, via webhooks, APIs, event-based triggers, or in real-time with millisecond latency.
Define your flow in YAML from the embedded Code Editor, run them directly from the UI, scale to any infrastructure.
Contributors
GitHub Stars
Kestra Deployments
Workflows Executed
What I really like about Kestra is that I can quickly put stuff together with YAML instead of having to write out and improve again and again on Python code.
Thanks to Kestra I've been able to orchestrate Cloudquery imports in a multi-tenant scenario. That has been incredibly useful actually.
it's great product with a fantastic web UI: it's extremely approachable and clear, and I love the yaml declarative approach!
Very simple, great user experience, I had a terrible experience with Airflow.
Orchestrating and monitoring complex systems has never been easier thanks to the beautiful web interface
We migrated our backend for data transformation to Kestra. Mostly for better monitoring and execution tracking.
After looking around and playing with some other tools I like Kestra because of the ability to maintain it using Terraform.
Compared to Airflow Kestra seems to be a more appropriate tool to use. I would really like to see it listed more often in the tech stack requirements for data engineering roles
I love Kestra, easy to use, easy to introduce to the team.
We had some experiments done on Kestra and we are impressed. We will implement it in production in coming months.
Kestra has been a keystone to design complex executions flows while enhancing our Infrastructure as Code best practices.
Kestra is amazing and checks all the boxes for a single platform to do everything I want to do!
We tested it with colleagues and we love Kestra! Our stack will be based on dlt/dbt/clickhouse and Kestra.
We have an existing automated trading system running in Prefect version 2 that needs upgrading to 3, and Kestra seems way more simple.
'm transitioning because I like Kestra platform. I'm loving it!
I'm machine learning engineer and I use Kestra to build my AI workflows. My hope is to give it more structure and also to build more stable products with it.
Kestra takes the best of Airflow and Google Workflows in one simple and elegant solution. It scales and integrates itself easily in any ecosystem thanks to the plugins library
I Love Kestra! It allows me to focus on the hard problems and the interesting part of my work without having to spend time on boring and repetitive tasks.
Our data capability has grown to the point of needing some solid orchestration and Kestra is a perfect fit.
It's funny, you don't notice pain points when something is SO MUCH BETTER than what you are currently using.
We use Kestra to orchestrate account provisioning and data tasks, so easy to get started! We already have some data scraping stuff in Kestra too that runs on schedules.
I want to congratulate everyone involved in this project - it's amazing! I've been running some proof-of-concept tests to evaluate Kestra for my company's needs, and it seems to be a perfect fit. I work for a biotech software development company where flexibility in executing workflows is key.
I was thinking about Rundeck. But your solution provides more flexibility.
I came across Kestra while searching for a low-code orchestration solution and I'm enjoying it!
We are implementing Kestra as a better alternative to Apache AirFlow and cron.
Mix the flexibility of code-based orchestration
with a no-code interface that anyone can learn in minutes.
Run Kestra anywhere—on-prem, hybrid, or any cloud, no dependencies, no installation headaches.
Automating everything from data pipelines, microservices, business processes to infrastructure provisioning.
Empower every team members to collaborate from a single tool—code for developers, UI for everyone else, all in sync.
Orchestrate custom business logic in Python, R, Java, Julia, Ruby, and any kind of language.
Deliver in days what once took weeks
Faster Workflow Completion
Boost in Team Efficiency
Reduction in Operational Cost
Deployment Speed
Kestra unify all engineers, breaking down silos.
Version control all your resources, from workflows to users and permissions with CI/CD and Terraform Provider.
Ship Workflows Like Your Code
Automate infrastructure tasks, manage dependencies, and ensure operational consistency.
Take Control of Your Platform Ops
Build reliable data pipelines with on-demand infrastructure that scales on-demand whether in Cloud or on-prem.
Pipelines You Can Count On
Connect with third-party systems, data sources, and applications. And if you require a custom integration, our platform makes it easy to build custom plugins.
See All Plugins
Jump start your workflows with a growing library of workflow templates
Built for Enterprises and SMBs
Kestra has changed how we handle data orchestration. Instead of spending days fixing issues, we now have full visibility and control. As we scale, having a system that grows with us is invaluable
IT Lead
Read the Story
Declarative Data Engineering is rising as Data teams embrace software practices and Kestra got this point right allowing data practitioners to collaborate around a common tool.
Senior Data Engineer
Read the Story
Kestra is the unifying layer for our data and workflows. You can start small, but then there is no limit to the possibilities and scalability of such an open architecture.
Head of Data Engineering
Read the StoryThank you for your hard work in creating this good software. It is beginner friendly and easy to customize.
I'm very impressed with what your team has here in Kestra. I moved some of my automated jobs over from Apache NIFI to Kestra. Kestra is way easier to work with because of everything being in the UI.
Kestra is the first exciting thing I’ve seen in a long time.I’ve spent a huge part of my career looking for a solution that handle huge data sets.
Easy to use and very powerful, it does everything I need, and orchestrating flows has never been easier.
Kestra is the unifying layer for our data and workflows. You can start small, but then there is no limit to the possibilities and scalability of such an open architecture.
Kestra is really capable of supporting the growth of the company thanks to complete and controlled scalability!
We're convinced we chose the right tool. The support and communication are great. Kestra adapts to any tool thanks to its plugins, and it's easy for anyone to understand.
I've been using Kestra on data projects at Sopht, also a french company, and it's been amazing for data processes. The declarative approach really works well for easy scalable contexts.
Kestra has changed how we handle data orchestration. Instead of spending days fixing issues, we now have full visibility and control. As we scale, having a system that grows with us is invaluable
Kestra is an easy-to-learn, feature-rich platform for a wide variety of use cases. Its web interface simplifies flows and logs monitoring.
I ported 80% of the prefect workflow in about a week to kestra, learing the syntax as i go […] yeah the yaml definitions make it super approachable.
This tool is an absolute game changer for Orchestration: the UI, build quality, architecture and features are top notch. It's by far the easiest tool I've ever set-up, thanks to the excellent documentation and rapid response. It's already revolutionising the way my team works.
Kestra’s UI and speed of development is brilliant. Very quick to prototype a new pipeline, continuously iterate, and test things out. Love the replay feature. It has very clear separation of pipeline and processing code.
I’ve been really enjoying Kestra! It’s been much simpler to use than building Airflow DAGs or using Prefect, the plugins are incredibly handy.
I'd like to say the product is fantastic! I love it so far! […] With Kestra we run git pull, build dbt models, and run Elementary reports and send a notification over Slack for the Elementary report, and it’s a breeze!
The main advantage I see in Kestra is the use of YAML for creating flexible workflows. This allows us to chain pieces of metadata together dynamically, and the user-friendly UI helps our internal users create simple-to-understand inputs for the data pipelines we develop
Kestra is like the Wizard of Oz Wizard, doing its magic behind the curtain
Companies typically don't like to share their secret weapon but everyone in the data world needs to know about Kestra. It has been a pivotal part of giving us flexibility and scalability we need to pull off complex processes we do at Foundation Direct.
Kestra meets the needs perfectly, it’s very simple to use and manages the complexities behind it to offer a huge saving in time and costs.
With Kestra, I got started in minutes, no complex deployment, no rate limits, no lock-in to Python. Triggers, logs, multi-language support, it all just works. Compared to Prefect, Kestra feels like everything is in the right place.
The exceptional pre-sales support and commitment to providing a high-performance product have laid the foundation for a great partnership.
I don't want my teams to have to write Python. That's why I'm more interested in Kestra than Airflow
Kestra is becoming mission critical.
I enjoy the overall robustness of Kestra, which allows for processing data at scale in cloud environments and ensures the reproducibility of processes. Its strong observability, ease of development, and flexibility make it a versatile solution for managing data pipelines, including those in the field of genomics.
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Install Kestra Open-Source and get your first workflow ready in less than 5 minutes.
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