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ease
features
design
support

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Description

Azure Data Explorer is an efficient and fully managed analytics service designed for swift analysis of vast amounts of data that originate from various sources such as applications, websites, and IoT devices. Users can pose questions and delve into their data in real-time, allowing for enhancements in product development, customer satisfaction, device monitoring, and overall operational efficiency. This service enables quick detection of patterns, anomalies, and emerging trends within the data landscape. Users can formulate and receive answers to new inquiries within minutes, and the framework allows for unlimited queries thanks to its cost-effective structure. With Azure Data Explorer, organizations can discover innovative ways to utilize their data without overspending. By prioritizing insights over infrastructure, users benefit from a straightforward, fully managed analytics platform. This service is adept at addressing the challenges posed by fast-moving and constantly evolving data streams, making analytics more accessible and efficient for all types of streaming information. Ultimately, Azure Data Explorer empowers businesses to leverage their data in transformative ways.

Description

IBM® Application Discovery and Delivery Intelligence (ADDI) serves as a powerful analytical tool designed for the modernization of applications. By leveraging cognitive technologies, it efficiently analyzes mainframe applications, enabling users to swiftly uncover and comprehend the interdependencies associated with modifications. This rapid enhancement of mainframe applications can significantly contribute to revenue generation and facilitate quicker returns on investments. Moreover, by improving your understanding of application complexity, ADDI helps you foresee potential issues, thereby reducing application and development costs. The platform allows for the agile evolution of systems and applications, maximizing the benefits of hybrid cloud environments. With enhanced application insights, organizations can boost productivity while minimizing risks, effectively accelerating their digital transformation journey. Furthermore, the platform's rapid analysis capabilities enable users to identify relationships among various components of IBM z/OS® applications, providing clarity on the potential impact of changes. Users can quickly locate essential business rules, code snippets, and APIs, empowering them to optimize their business processes and foster innovation. With ADDI, organizations can confidently navigate their modernization efforts and embrace the future of technology.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Confidential Computing
Azure Marketplace
Azure Monitor
Azure Time Series Insights
Blink
IBM Z
Microsoft Azure
RadiantOne
Switch Automation
Vega

Integrations

Azure Confidential Computing
Azure Marketplace
Azure Monitor
Azure Time Series Insights
Blink
IBM Z
Microsoft Azure
RadiantOne
Switch Automation
Vega

Pricing Details

$0.11 per hour
Free Trial
Free Version

Pricing Details

No price information available.
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

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/data-explorer/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/app-discovery-and-delivery-intelligence

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Product Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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