Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Enhance your development process with Functions, a serverless compute platform designed for event-driven applications that can tackle intricate orchestration challenges. You can efficiently build and troubleshoot your applications locally without requiring extra configuration, and easily deploy and manage them at scale in the cloud while utilizing triggers and bindings for service integration. Enjoy a comprehensive development experience that comes with integrated tools and built-in DevOps features. The platform offers a unified programming model that enables you to respond to events and effortlessly connect with various services. You can create a range of functions and use cases, including web applications and APIs using .NET, Node.js, or Java; machine learning processes through Python; and automate cloud tasks with PowerShell. This approach provides a holistic serverless application development journey—from local construction and debugging to cloud deployment and monitoring, ensuring a seamless transition at every stage. With such capabilities, developers can maximize their productivity and innovation potential.
Description
Produvia offers a serverless machine learning development service that streamlines the creation and deployment of machine learning models through advanced cloud infrastructure. By collaborating with Produvia, businesses can leverage this cutting-edge technology to innovate and implement their machine learning strategies effectively. Renowned Fortune 500 companies and Global 500 enterprises turn to Produvia for assistance in building and launching machine learning models utilizing contemporary cloud solutions. At Produvia, we harness the latest advancements in machine learning and deep learning to address various business challenges. Many organizations find themselves spending excessively on infrastructure, prompting a shift toward serverless architectures that help mitigate server-related expenses. The complexity of outdated servers and legacy systems often hampers progress, which has led modern companies to adopt machine learning technologies aimed at transforming their technology frameworks. While many businesses typically hire software developers to create traditional code, innovative organizations are now employing machine learning to produce software capable of generating code autonomously. As the landscape of technology evolves, the shift to automated software development is becoming increasingly prevalent.
API Access
Has API
No
API Access
Has API
No
Integrations
Ably
Yes
Azure DevOps Server
Yes
Azure Information Protection
Yes
Azure Marketplace
Yes
Coralogix
Yes
Cron To Go
Yes
Edge Delta
Yes
Jit
Yes
Microsoft 365
Yes
Microsoft Azure
Yes
Integrations
Ably
No
Azure DevOps Server
No
Azure Information Protection
No
Azure Marketplace
No
Coralogix
No
Cron To Go
No
Edge Delta
No
Jit
No
Microsoft 365
No
Microsoft Azure
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$1,000 per month
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/functions/
Vendor Details
Company Name
Produvia
Founded
2013
Country
Canada
Website
produvia.com
Product Features
Serverless
API Proxy
Yes
Application Integration
Yes
Data Stores
Yes
Developer Tooling
Yes
Orchestration
Yes
Reporting / Analytics
No
Serverless Computing
Yes
Storage
No
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No