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What is dbForge Monitor?

dbForge Monitor is a complimentary tool tailored to deliver comprehensive insights into the performance of SQL Server. It provides an array of detailed statistics on vital parameters, enabling swift identification and resolution of performance-related issues. Key Features: - Real-time Monitoring: Observe all SQL Server activities as they happen. - Analytical Dashboard: Utilize a wealth of metrics for immediate performance evaluation. - Query Optimization: Identify and enhance the most resource-heavy queries. - Heavy Query Display: Access both the text of demanding queries and their profiling data. - Active Session Tracking: Keep an eye on active sessions for each database, detailing logged-in users and their respective applications. - Backup Process Tracing: Receive crucial metrics regarding backup operations. - Data I/O Statistics: Obtain in-depth data on input and output operations. - Summary Statistics: Retrieve key metrics for all databases within SQL Server. - Resource Identification: Efficiently pinpoint resources that may be contributing to server performance degradation. The primary goal of dbForge Monitor is to streamline the analysis of SQL Server for database administrators. By furnishing a thorough overview of servers, databases, and queries, it can significantly reduce the amount of time database professionals spend on manual tasks, ultimately enhancing their productivity and efficiency. Additionally, this tool empowers users to make informed decisions for optimizing their SQL Server environments.

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.

Media

Media

Integrations Supported

SQL Server
Azure Marketplace
Azure SQL Database
Bloomreach
EHSwise
Kubernetes
Microsoft Azure
ONNX
SQL
Simplifier

Integrations Supported

SQL Server
Azure Marketplace
Azure SQL Database
Bloomreach
EHSwise
Kubernetes
Microsoft Azure
ONNX
SQL
Simplifier

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Trial Offered?
Free Version

Pricing Information

$60 per year
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

Devart

Date Founded

1997

Company Location

Czech Republic

Company Website

www.devart.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Categories and Features

Database Monitoring

Anomaly Detection
Autodiscovery
Capacity Planning
Dashboard
Dependency Tracking
Historical Trend Analysis
Multitenancy
Notifications / Alerts
Performance Monitoring
Permissions / Access Controls
Predictive Analytics
Prioritization
Query Analysis
Resource Optimization
Troubleshooting

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

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

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