1. Kestra 1.3 is here: production-grade controls release
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Data Orchestration

Ship Data Pipelines in 5 Minutes.
Run Them at Enterprise Scale

One platform for data, AI, and business-critical workflows.

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Used by teams at

Data Orchestration Shouldn’t Be Hard

The challenge
  • Airflow gives you dependency conflicts, executor tuning, infra complexity instead of building pipelines.
  • Analysts use SQL. ML engineers use Python. Ops use Bash. But your orchestrator only speak Python.
  • Weeks learning DSL patterns before shipping one pipeline.
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How Kestra solves it
  • Docker install and you’re running. No dependency management, no executor configuration. Just workflows.
  • Write tasks in any language. YAML orchestrates, your code stays native. No wrappers, no refactoring required.
  • Know YAML? You’re ready. Pick a Blueprint and ship in under 5 minutes. Zero proprietary abstractions.

Kestra has streamlined our data processes, reduced costs, and significantly enhanced our scalability and efficiency. It has truly been a critical asset in our digital transformation journey.

Julien Henrion, Head of Data Engineering

+900%in data production
+250active users
+5,000workflows created
Read the Story

Built For How Data Teams Actually Work

Any Language, Native Execution

Define pipelines in declarative YAML. Run tasks in Python, SQL, R, Bash, or any script. Execute in isolated containers on Docker, Kubernetes, or custom workers.

Any Language, Native Execution

Start From Blueprints, Ship in Minutes

Pick from 200+ production-ready blueprints for dbt, Airbyte, Spark, and ML. Customize in a live YAML editor with real-time DAG preview. Ship your first pipeline in minutes.

Start From Blueprints, Ship in Minutes

Enterprise-Grade Observability

Built-in monitoring and distributed tracing. Real-time logs, Gantt views, and alerts. SLA tracking included. Integrates with Datadog, Prometheus, and Grafana.

Enterprise-Grade Observability

Built For The Stack You Run in Production

Native integrations for dbt, Airbyte, Spark, Snowflake, BigQuery, Databricks, and 1200+ integrationsfrom event-driven triggers for files, APIs, databases, and queues.

Built For The Stack You Run in Production

Version Control Native + CI/CD Ready

YAML lives in Git. Code review, branch-based development, automated testing, and rollbacks all work with your existing workflow. Deploy via CLI, API, or Terraform. Supports GitOps patterns.

Version Control Native + CI/CD Ready

Scale From Prototype to Enterprise

Handles 100,000+ concurrent tasks with built-in multi-tenancy. High availability with automatic failover. Start with data pipelines, expand to AI, and business critical workflows.

Scale From Prototype to Enterprise

Cut Orchestration Costs By 80% *

Reported by teams switching from Airflow to Kestra in production.*

Infrastructure costs

Self-hosted Kestra runs on minimal infrastructure. No overprovisioned workers or complex component scaling. Deploy on your existing Kubernetes cluster or a single VM.

Engineering time

Eliminate weeks of operational overhead. No upgrades breaking plugins, no dependency conflicts, no executor tuning. Ship pipelines, not infrastructure.

Licensing and managed services

Many orchestrators lock enterprise features behind expensive managed plans. Kestra delivers them in open source or flexible commercial licensing.

From Prompt to Production in 60 Seconds

Kestra Copilot turns natural language into working pipelines using dbt, Airbyte, Spark, Snowflake, BigQuery, Databricks, and 1200+ plugins.

AI Copilot
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Start From Proven Data Patterns

Pick from our production-ready Blueprints for common data workflows. Copy, customize, deploy in minutes.

Build an ETL Pipeline with Airbyte Cloud and dbt Cloud for SaaS Analytics
Data
Build an ETL Pipeline with Airbyte Cloud and dbt Core for SaaS Analytics
Data
Run a Scheduled ETL Sync with Airbyte Cloud
Data
Build an ETL Pipeline with Parallel Airbyte Syncs and dbt Core Transformations
Data
Run Parallel ETL Ingestion with Airbyte to Sync Multiple Data Sources
Data
Trigger an Airflow DAG
Data
Extract data, transform it, and load it in parallel to S3 and Postgres — in less than 7 seconds!
+4
Data
Build an ETL Pipeline from a REST API Using Python, Polars, and DuckDB
Data
Run Apify actor and update Notion
Data
Automate Cross-Cloud ETL from Azure Blob Storage to BigQuery with dbt Cloud
Data
Cache a computationally expensive task in an ETL pipeline using the taskCache property
CoreData
Build an ETL Pipeline from Cassandra to BigQuery Using CSV Export
Data
Build a Chat-With-Your-Data System Using Elasticsearch and OpenAI (RAG)
AIData
Ingest AWS Resource Metadata into Postgres Using CloudQuery for Security and Governance Analysis
CloudData
Schedule CloudQuery Data Ingestion into DuckDB for Analytics and Exploration
Data
Bulk Load CSV Data into PostgreSQL Using COPY for Fast ETL Ingestion
Data
Extract Data from Couchbase and Transform It with Pandas for Analytics
Data
Run scheduled sales analytics on CSV data with DuckDB and post results to Slack
Data
Trigger a Dagster Job
Data
Automate daily e-commerce reporting by syncing Shopify orders and Stripe balance to Notion and Slack
Data
Build an ETL Pipeline with Airbyte Cloud and dbt Cloud for SaaS Analytics
Data
Build an ETL Pipeline with Airbyte Cloud and dbt Core for SaaS Analytics
Data
Run a Scheduled ETL Sync with Airbyte Cloud
Data
Build an ETL Pipeline with Parallel Airbyte Syncs and dbt Core Transformations
Data
Run Parallel ETL Ingestion with Airbyte to Sync Multiple Data Sources
Data
Trigger an Airflow DAG
Data
View more Data blueprints

1200+ Plugins To Works Automate
Your Entire Data Stack

Fivetran

Fivetran

Snowflake

Snowflake

Databricks

Databricks

Azure

Azure

DBT

DBT

Airbyte

Airbyte

MongoDB

MongoDB

Cassandra

Cassandra

PostgreSQL

PostgreSQL

MySQL

MySQL

Redshift

Redshift

BigQuery

BigQuery

ClickHouse

ClickHouse

Redis

Redis

Elasticsearch

Elasticsearch

Kafka

Kafka

Pulsar

Pulsar

RabbitMQ

RabbitMQ

Fivetran

Fivetran

Snowflake

Snowflake

Databricks

Databricks

Azure

Azure

DBT

DBT

Airbyte

Airbyte

MongoDB

MongoDB

Cassandra

Cassandra

PostgreSQL

PostgreSQL

MySQL

MySQL

Redshift

Redshift

BigQuery

BigQuery

ClickHouse

ClickHouse

Redis

Redis

Elasticsearch

Elasticsearch

Kafka

Kafka

Pulsar

Pulsar

RabbitMQ

RabbitMQ

See all plugins

Kestra is Not Just Another Orchestrator

 Legacy orchestrators
(e.g. Airflow)		 Modern alternatives Why this matters
Workflow definition Declarative YAML Python DAGsPython SDKs with custom abstractionsYour existing scripts work as-is. Zero migration tax.
Languages supported Any (Python, SQL, R, Bash, etc.) Python onlyPython onlyAnalysts use SQL, engineers use Python, ops use Bash.
Time to first pipeline < 5 minutes 1-2 hours30-60 minutesShip 10x faster. Deliver value day one.
Learning curve YAML (immediate) Framework + infrastructure setupFramework concepts and abstractionsJunior engineers ship pipelines their first day.
Live DAG preview Yes, real-time No (deploy to see)No (deploy to see)See changes instantly. No deploy-to-preview cycles.
Event-driven triggers Native, unlimited Limited sensors (polling-based)Yes, native supportReact in seconds, not minutes, with real-time workflows.
Execution isolation Containers per task Shared workersConfigurableNo dependency conflicts. Ship fearlessly.
Built-in observability Metrics, logs, tracing included Requires manual setupSetup required or cloud-dependentDebug in minutes with full visibility out of the box.
Multi-language team support SQL, Python, Bash all native Python wrappers requiredPython wrappers requiredEveryone contributes using their native tools.
Scope beyond data AI, infra, business workflows Data pipelines onlyData pipelines primary focusFuture-proof your platform with one orchestrator for everything.
Enterprise deployment Self-hosted or cloud Self-managed infrastructureSelf-hosted or cloud-first50%+ lower TCO. Less infrastructure, less ops time.
Migration path Incremental (run Airflow + Kestra in parallel) N/ARequires full rewriteMove pipelines one by one, no big-bang cutover.
Get the migration playbook
See How

Start With Data. Grow Without Limits.

Join 500+ data teams who’ve modernized their orchestration with Kestra.

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Frequently asked questions

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