Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Data Orchestration Platform enables the transformation of your IoT data into a comprehensive AI environment, allowing for the seamless processing of thousands of AI pipelines and the capability to scale up to millions of devices. It's time to harness the power of your data and elevate your IoT project to new heights with Astarte Flow: Your AI Environment. This platform serves as the central hub for integrating your AI pipelines and data science tasks within your IoT application. Experience the advantages of a cloud-native solution without the burden of DevOps, as Astarte handles Kubernetes management on your behalf. Embrace cutting-edge cloud technologies without needing any specific domain expertise. With its commitment to open-source principles, Astarte utilizes established, open, and standard protocols and technologies. It stands out as the preferred platform for your AI and IoT initiatives, efficiently managing and processing your IoT and context data while seamlessly handling everything in between—from data collection to deployment. By leveraging Astarte, you can unlock the full potential of your IoT ecosystem, ensuring a more effective and innovative approach to data utilization.
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.
API Access
Has API
Yes
API Access
Has API
No
Integrations
APERIO DataWise
No
Apache Airflow
No
Control-M
No
Dataform
No
Flipdish
Yes
Google Cloud AI Infrastructure
No
Google Cloud BigQuery
No
Google Cloud Dataflow
No
Google Cloud Datastore
No
Google Cloud Managed Service for Apache Spark
No
Integrations
APERIO DataWise
Yes
Apache Airflow
Yes
Control-M
Yes
Dataform
Yes
Flipdish
No
Google Cloud AI Infrastructure
Yes
Google Cloud BigQuery
Yes
Google Cloud Dataflow
Yes
Google Cloud Datastore
Yes
Google Cloud Managed Service for Apache Spark
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$0.074 per vCPU hour
Free Trial
No
Free Version
No
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Ispirata
Country
Italy
Website
ispirata.com
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/products/managed-service-for-apache-airflow
Product Features
Data Management
Customer Data
No
Data Analysis
Yes
Data Capture
Yes
Data Integration
No
Data Migration
No
Data Quality Control
Yes
Data Security
No
Information Governance
Yes
Master Data Management
Yes
Match & Merge
No