Kestra for
Data Engineers
Orchestrate your Data Pipelines, Automate Processes, and Harness the Power of Your Data
Simplify Your
Data Engineering Challenges
From automating data pipelines to accelerating machine learning model deployment, Kestra streamlines complex workflows across a wide range of industries and domains. Dive into the wide array of use cases Kestra efficiently addresses.
Automate Your Data Pipelines
Say goodbye to delays in your pipeline as Kestra initiates workflows based on specific times or events, such as data arrivals or file uploads.
Deploy Machine Learning Models
Efficiently manage and deploy machine learning models at scale using Kestra’s orchestration capabilities.
Optimize ETL Processes
Move, prepare, and clean data, consolidating it into a single data mart for easy access.
Seamless Data Integration
Easily connect and integrate with various data sources, ensuring smooth data flow across your systems.
Real-time Data Processing
Automatically detect and process changes in data sources with change data capture, keeping your data up-to-date and accurate.
Automated Reporting
Configure Kestra to distribute reports via email or Slack, keeping your team informed.
Efficient Data Scraping
Easily collect data from various sources and integrate it into your workflows.
End-to-End Data Orchestration
Manage the entire data lifecycle, from ingestion to reporting, with Kestra’s powerful orchestration capabilities.
Explore Blueprints
Run specific tasks only on business days for a specific country
Getting started with Kestra — an AI agent workflow example
Send an email every morning containing a daily digest of the weather and train times.
Daily AI news digest to Notion with Slack notification
Automated weekly Git commit summary and Slack notification
Airbyte Cloud ingestion with dbt Cloud transformation
Trigger multiple Airbyte Cloud syncs in parallel, then run a dbt job
Trigger a single Airbyte Cloud sync on schedule
Trigger multiple Airbyte syncs, then run a dbt job
Trigger multiple Airbyte syncs in parallel
Deploy configuration files to multiple servers using Ansible
Run a simple Ansible playbook
Extract data, transform it, and load it in parallel to S3 and Postgres — in less than 7 seconds!
Extract data from a REST API, process it in Python with Polars in a Docker container, then run DuckDB query and preview results as a table in the Outp...
Export Kestra audit logs as a CSV file and send out via Email.
Stream kestra audit logs from a Kafka topic to BigQuery for analytics and troubleshooting
Run multiple Python scripts in parallel on AWS ECS Fargate with AWS Batch
Send custom events from your application to AWS EventBridge
Send multiple records to AWS Kinesis Data Streams in a simple list of maps or using a JSON API payload
Microservice orchestration: invoke multiple AWS Lambda functions in parallel
Azure Blob Storage file detection event triggers upload to BigQuery and dbt Cloud job
Build a Docker image and push it to AWS Elastic Container Registry (ECR)
Build a Docker image and push it to Google Cloud Artifact Registry
Getting started with Kestra — a Business Automation workflow example
Getting started with Kestra — a Business Processes workflow example
Kestra's Capabilities
for Data Orchestration
Scale With Kestra Enterprise Edition
Built for Enterprises and SMBs
- Governance
- Security
- Scalability
- Enterprise Support with SLA