Apache AirflowThe Apache Software Foundation
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DataKitchen DataOps AutomationDataKitchen
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Related Products
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About
Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. No more command-line or XML black-magic! Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows.
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About
DataKitchen is a DataOps software platform that helps organizations automate data quality testing, monitor data pipelines, and manage analytics workflows. Its product suite includes DataOps Data Quality TestGen, DataOps Process Observability, and DataOps Automation. TestGen automatically profiles databases, generates data quality tests, identifies anomalies, and monitors data reliability across existing data environments. DataOps Process Observability provides end-to-end visibility into data pipelines, datasets, and workflows to detect failures, delays, and performance bottlenecks. DataOps Automation enables teams to orchestrate data pipelines, manage development environments, automate deployments, and integrate testing into production workflows. The platform supports integrations with Snowflake, Databricks, BigQuery, Airflow, dbt, and other data technologies, with open-source and enterprise deployment options.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
Supported
On-Premises
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iPhone
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iPad
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Android
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Chromebook
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Anyone who wants to to programmatically author, schedule and monitor workflows
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Audience
Data engineers, analytics engineers, data scientists, data architects, DataOps teams, database administrators, business intelligence professionals, IT operations teams, and enterprises seeking automated data quality testing, pipeline observability, data workflow orchestration, and reliable analytics infrastructure
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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
No information available.
Free Version
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Free Trial
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Reviews/
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Reviews/
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Training
Documentation
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Webinars
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Live Online
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In Person
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Training
Documentation
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Webinars
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Live Online
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
airflow.apache.org
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Company InformationDataKitchen
Founded: 2013
United States
datakitchen.io
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Categories |
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Integrations
Acryl Data
Supported
Cake AI
Supported
Control-M
Supported
DQOps
Supported
DataHub
Supported
Datafold
Supported
Datakin
Supported
Decube
Supported
IRI Voracity
Supported
Jira
Not Supported
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Integrations
Acryl Data
Not Supported
Cake AI
Not Supported
Control-M
Not Supported
DQOps
Not Supported
DataHub
Not Supported
Datafold
Not Supported
Datakin
Not Supported
Decube
Not Supported
IRI Voracity
Not Supported
Jira
Supported
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