Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • MongoDB Atlas Reviews & Ratings
    1,650 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • Windocks Reviews & Ratings
    7 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,105 Ratings
    Company Website
  • Google Cloud SQL Reviews & Ratings
    553 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    561 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    60,586 Ratings
    Company Website
  • Diplomat Managed File Transfer Reviews & Ratings
    47 Ratings
    Company Website
  • Skillcast Reviews & Ratings
    1,105 Ratings
    Company Website

What is Azure SQL Edge?

Azure SQL Edge is a streamlined SQL database engine specifically designed for edge computing and comes equipped with integrated AI features. This robust IoT database combines capabilities like data streaming and time series processing with sophisticated machine learning and graph functionalities. By adapting the well-known Microsoft SQL engine for edge devices, it guarantees dependable performance and security across your entire data ecosystem, which stretches from cloud platforms to edge environments. Developers have the flexibility to create applications once and deploy them effortlessly across multiple settings, whether on edge devices, in on-premises data centers, or within the Azure framework. With its capabilities for in-database machine learning, graph analysis, data streaming, and time series data handling, it provides low-latency analytics that enable real-time insights. Designed to facilitate versatile data processing, it effectively tackles the issues of latency and bandwidth in various operational modes, including online, offline, and hybrid scenarios. Additionally, deployment and updates can be easily overseen via the Azure portal or an organization's platform, ensuring uniform security and streamlined management processes. The inclusion of built-in machine learning capabilities not only allows for immediate anomaly detection but also enables the execution of business logic directly at the edge, thereby boosting operational efficiency. This comprehensive approach ensures that organizations can effectively leverage their data across all environments, optimizing their edge computing strategies.

What is Azure Data Science Virtual Machines?

Data Science Virtual Machines (DSVMs) are customized images of Azure Virtual Machines that are pre-loaded with a diverse set of crucial tools designed for tasks involving data analytics, machine learning, and artificial intelligence training. They provide a consistent environment for teams, enhancing collaboration and sharing while taking full advantage of Azure's robust management capabilities. With a rapid setup time, these VMs offer a completely cloud-based desktop environment oriented towards data science applications, enabling swift and seamless initiation of both in-person classes and online training sessions. Users can engage in analytics operations across all Azure hardware configurations, which allows for both vertical and horizontal scaling to meet varying demands. The pricing model is flexible, as you are only charged for the resources that you actually use, making it a budget-friendly option. Moreover, GPU clusters are readily available, pre-configured with deep learning tools to accelerate project development. The VMs also come equipped with examples, templates, and sample notebooks validated by Microsoft, showcasing a spectrum of functionalities that include neural networks using popular frameworks such as PyTorch and TensorFlow, along with data manipulation using R, Python, Julia, and SQL Server. In addition, these resources cater to a broad range of applications, empowering users to embark on sophisticated data science endeavors with minimal setup time and effort involved. This tailored approach significantly reduces barriers for newcomers while promoting innovation and experimentation in the field of data science.

Media

Media

Integrations Supported

Azure Marketplace
Microsoft Azure
SQL Server
Apache Spark
Azure Machine Learning
Azure SQL Database
Bloomreach
EHSwise
Jupyter Notebook
Kubernetes
Microsoft Cognitive Toolkit
Microsoft Excel
Microsoft Power BI
ONNX
SBS Quality Management Software
Simplifier
TensorFlow
VMware Cloud
Visual Studio
easybooking JULIA

Integrations Supported

Azure Marketplace
Microsoft Azure
SQL Server
Apache Spark
Azure Machine Learning
Azure SQL Database
Bloomreach
EHSwise
Jupyter Notebook
Kubernetes
Microsoft Cognitive Toolkit
Microsoft Excel
Microsoft Power BI
ONNX
SBS Quality Management Software
Simplifier
TensorFlow
VMware Cloud
Visual Studio
easybooking JULIA

API Availability

Has API

API Availability

Has API

Pricing Information

$60 per year
Free Trial Offered?
Free Version

Pricing Information

$0.005
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/azure-sql/edge/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/

Categories and Features

SQL Server

CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Popular Alternatives

Popular Alternatives