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What is Kestra?

Kestra serves as a free, open-source event-driven orchestrator that enhances data operations and fosters better collaboration among engineers and users alike. By introducing Infrastructure as Code to data pipelines, Kestra empowers users to construct dependable workflows with assurance. With its user-friendly declarative YAML interface, individuals interested in analytics can easily engage in the development of data pipelines. Additionally, the user interface seamlessly updates the YAML definitions in real-time as modifications are made to workflows through the UI or API interactions. This means that the orchestration logic can be articulated in a declarative manner in code, allowing for flexibility even when certain components of the workflow undergo changes. Ultimately, Kestra not only simplifies data operations but also democratizes the process of pipeline creation, making it accessible to a wider audience.

What is Google Cloud Managed Service for Apache Airflow?

Managed Service for Apache Airflow is a comprehensive workflow orchestration platform from Google Cloud that enables organizations to build, schedule, and monitor complex data pipelines with ease. Based on the open-source Apache Airflow project, it uses Python-defined DAGs to create flexible and scalable workflows. The fully managed nature of the service removes the burden of infrastructure management, allowing teams to focus on data engineering and automation tasks. It integrates seamlessly with Google Cloud services such as BigQuery, Dataflow, Managed Service for Apache Spark, Cloud Storage, and Pub/Sub, enabling end-to-end pipeline orchestration. The platform supports hybrid and multi-cloud environments, making it ideal for organizations with diverse data ecosystems. It includes advanced features like DAG versioning, scheduler-managed backfills, and improved user interfaces for better workflow management. Built-in monitoring, logging, and visualization tools help ensure reliability and simplify troubleshooting. The service also supports CI/CD pipelines, enabling automated deployment and management of workflows. Its open-source foundation ensures portability and flexibility while avoiding vendor lock-in. Security features such as IAM, VPC Service Controls, and encryption provide strong data protection. The platform is suitable for a wide range of use cases, including ETL pipelines, machine learning workflows, and business intelligence automation. It also enables event-driven and near real-time pipeline execution. Overall, Managed Service for Apache Airflow provides a robust, scalable, and user-friendly solution for orchestrating modern data workflows.

Media

Media

Integrations Supported

Python
Airbyte
Apache Cassandra
Apache Kafka
Apache Pinot
Databricks
Debezium
Docker
DuckDB
Elasticsearch
Git
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Platform
Google Cloud Storage
Kubernetes
MySQL
Pantomath
PostgreSQL
Singer

Integrations Supported

Python
Airbyte
Apache Cassandra
Apache Kafka
Apache Pinot
Databricks
Debezium
Docker
DuckDB
Elasticsearch
Git
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Platform
Google Cloud Storage
Kubernetes
MySQL
Pantomath
PostgreSQL
Singer

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.074 per vCPU hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Kestra

Date Founded

2022

Company Location

France

Company Website

kestra.io

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/products/managed-service-for-apache-airflow

Categories and Features

Categories and Features

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