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Description

Managed Service for Apache Airflow is a cloud-based workflow orchestration service that simplifies the creation and management of complex data pipelines. Built on the open-source Apache Airflow framework, it allows users to define workflows using Python-based DAGs. The platform is fully managed, removing the need to provision or maintain infrastructure, which helps teams focus on pipeline development and execution. It integrates with a wide range of Google Cloud services, including BigQuery, Dataflow, Cloud Storage, and Managed Service for Apache Spark. The service supports hybrid and multi-cloud environments, enabling organizations to orchestrate workflows across different platforms. It offers advanced monitoring and troubleshooting tools, including visual workflow representations and logs. New features such as DAG versioning and improved scheduling enhance reliability and control. The platform also supports CI/CD pipelines and DevOps automation use cases. Its open-source foundation ensures flexibility and avoids vendor lock-in. Overall, it provides a powerful and scalable solution for managing data workflows and automation processes.

Description

Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
APERIO DataWise Yes 
Apache Cassandra No 
Couchbase No 
Debezium No 
Google Cloud AI Infrastructure Yes 
Google Cloud Dataflow Yes 
Google Cloud Datastore Yes 
Google Cloud Managed Service for Apache Spark Yes 
Google Cloud Storage Yes 
Julia No 
MongoDB No 
OpenAI No 
Pantomath Yes 
PostgreSQL No 
PowerShell No 
Singer No 
Snowflake No 
Soda No 
Vertica No 

Integrations

Python Yes 
APERIO DataWise No 
Apache Cassandra Yes 
Couchbase Yes 
Debezium Yes 
Google Cloud AI Infrastructure No 
Google Cloud Dataflow No 
Google Cloud Datastore No 
Google Cloud Managed Service for Apache Spark No 
Google Cloud Storage No 
Julia Yes 
MongoDB Yes 
OpenAI Yes 
Pantomath No 
PostgreSQL Yes 
PowerShell Yes 
Singer Yes 
Snowflake Yes 
Soda Yes 
Vertica Yes 

Pricing Details

$0.074 per vCPU hour
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

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

Vendor Details

Company Name

Kestra

Founded

2022

Country

France

Website

kestra.io

Product Features

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