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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Simplify your MLOps pipelines. ZenML allows you to manage, deploy and scale any infrastructure. ZenML is open-source and free. Two simple commands will show you the magic. ZenML can be set up in minutes and you can use all your existing tools. ZenML interfaces ensure your tools work seamlessly together. Scale up your MLOps stack gradually by changing components when your training or deployment needs change. Keep up to date with the latest developments in the MLOps industry and integrate them easily. Define simple, clear ML workflows and save time by avoiding boilerplate code or infrastructure tooling. Write portable ML codes and switch from experiments to production in seconds. ZenML's plug and play integrations allow you to manage all your favorite MLOps software in one place. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Airflow
Google Cloud Platform
Python
AWS AI Services
Apache Spark
Azure Kubernetes Service (AKS)
Gemini Enterprise Agent Platform Notebooks
Google Cloud AI Infrastructure
Google Cloud Datastore
Google Cloud Storage
Great Expectations
HashiCorp Vault
LangChain
Llama
Llama 2
Llama 3
MLflow
Neptune OS
Prodigy
TensorFlow

Integrations

Apache Airflow
Google Cloud Platform
Python
AWS AI Services
Apache Spark
Azure Kubernetes Service (AKS)
Gemini Enterprise Agent Platform Notebooks
Google Cloud AI Infrastructure
Google Cloud Datastore
Google Cloud Storage
Great Expectations
HashiCorp Vault
LangChain
Llama
Llama 2
Llama 3
MLflow
Neptune OS
Prodigy
TensorFlow

Pricing Details

$0.074 per vCPU hour
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

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

Vendor Details

Company Name

ZenML

Founded

2021

Country

United States

Website

zenml.io

Product Features

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Alternatives

Alternatives

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Amazon MWAA

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