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
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.
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About
DevOps Orchestration is the practice of composing any tasks across the SDLC and Operations functions, with any choice of tools and environments, and with the process logic centralized away from the individual tools themselves. The Maestro product includes plug-ins, pre-built tasks, and templates for continuous integration, test automation, release management, DevOps visibility, automated deployment, and continuous delivery. Whether your DevOps tools are on-premise or cloud services (or both!), Maestro effortlessly connects workflow tasks between your tools for Continuous Integration and Continuous Deployment. The workflow "CompositionTM" above shows a Git checkout, Jenkins build, Sonar code check, testing steps, and then custom notifications. Remove manual tasks from your custom release process, and create a precise, repeatable set of tasks that execute reliably, every time.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
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Audience
Anyone who wants to to programmatically author, schedule and monitor workflows
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Audience
Organizations that want a unified analytics engine for large-scale data processing
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Audience
DevOps teams looking for a complete Release Management solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
|
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
airflow.apache.org
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Company InformationApache Software Foundation
Founded: 1999
United States
spark.apache.org
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Company InformationMaestroDev
Founded: 2006
United States
maestrodev.wixsite.com/maestrodev/
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Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
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Streaming Analytics Features
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
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Integrations
Amazon MWAA
Apache Hive
Apache Kudu
Ardent
DQOps
Datafold
Gemini Enterprise Agent Platform Notebooks
Great Expectations
Kubernetes
LakeSail
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Integrations
Amazon MWAA
Apache Hive
Apache Kudu
Ardent
DQOps
Datafold
Gemini Enterprise Agent Platform Notebooks
Great Expectations
Kubernetes
LakeSail
|
Integrations
Amazon MWAA
Apache Hive
Apache Kudu
Ardent
DQOps
Datafold
Gemini Enterprise Agent Platform Notebooks
Great Expectations
Kubernetes
LakeSail
|
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