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Description
Effortlessly identify individuals and their postures straight away, with the ability to adjust settings for specific needs. You can also enhance functionality by incorporating your own AI models, whether utilizing TensorFlow Lite models sourced online or creating entirely new ones. This solution is also compatible with Google Coral, proving that developers can indeed have an aesthetic vision! The elegant design of Darcy Cam looks fantastic in both laboratory settings and everyday environments. Equipped with dual Coral AI accelerators and a video sensor, it supports multiple models for real-time efficiency. Establish various network configurations, including multi-cloud, hybrid cloud, and edge-to-edge setups, all with a single command and without the need for open ports, VPNs, or NAT tunnels. Manage all elements of your edge infrastructure directly from the Cloud, including tasks such as provisioning, deployment, orchestration, resource management, monitoring, and updates. Streamline operations by automating workflows integrated with your existing clouds, tools, and applications, while also ensuring seamless connectivity with your current infrastructure via OpenAPI. This comprehensive approach allows for maximum flexibility and efficiency in managing advanced AI capabilities.
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
API Access
Has API
Integrations
APERIO DataWise
Apache Airflow
Dataform
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Datastore
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Cloud Pub/Sub
Integrations
APERIO DataWise
Apache Airflow
Dataform
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Datastore
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Cloud Pub/Sub
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.074 per vCPU hour
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
Edgeworx
Founded
2017
Country
United States
Website
www.darcy.ai/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/products/managed-service-for-apache-airflow
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)