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What is Huawei APM?

It integrates effortlessly with various applications without necessitating any code changes, all while collecting performance data in a way that does not disrupt operations. This approach guarantees high throughput, which is essential for delivering an outstanding user experience. By leveraging AI-based threshold detection alongside machine learning that utilizes historical data, it proficiently pinpoints the root causes of problems. Moreover, it provides O&M data query APIs and collection standards that empower independent development initiatives. With features like application auto-discovery, transaction analysis, and Apdex metrics, it systematically identifies issues and works to improve user satisfaction. This solution is compatible with widely-used Java frameworks, web containers, communication protocols, and databases, simplifying access to applications without the need for any coding modifications. Full-stack tracing allows for monitoring messages from web browsers through to servers and databases, offering a granular view of operational maintenance at the code level. The application performance management (APM) system not only tracks application performance but also provides detailed topology visualizations, which facilitate real-time monitoring and rapid fault identification. Ultimately, this fosters a strong framework for enhancing application performance while simultaneously boosting user engagement and satisfaction. Additionally, continuous updates ensure that the system remains aligned with evolving technological standards and user expectations.

What is Heimdall Data?

The Heimdall Proxy acts as an essential data access layer for developers, database administrators, and architects in both on-premise and cloud environments. By leveraging our proxy, users benefit from improved speed, scalability, and security for their existing SQL databases. We offer extensive SQL visibility and performance management that spans multiple database vendors, with our proxy capable of being implemented seamlessly as a transparent sidecar process. This method of distributed deployment enhances performance while providing predictive scaling capabilities to accommodate varying demands. To set up a master writer alongside read replicas, certain adjustments to the application are required, and our proxy efficiently routes queries to the appropriate database instance. With our replication lag detection feature, we guarantee data consistency across all platforms. Additionally, the efficiency of connections is greatly improved, achieving a remarkable reduction ratio of front-side to back-side connections of up to 1000:1. Users can impose connection limits based on individual accounts or specific databases, fostering fairness and protecting the database from potential overload. Moreover, our solution enhances security through the integration of Active Directory, which streamlines authentication and authorization processes. This integration not only bolsters security measures but also simplifies the management of users within the system, ensuring a more secure and efficient operational environment. Ultimately, our innovative approach allows for a significant boost in database performance while optimizing resource utilization.

Media

Media

Integrations Supported

Amazon Aurora
Amazon ElastiCache
Azure Marketplace
Greenplum
Hazelcast
Huawei Cloud
MSC Apex
MetricFire
Odoo
Open Container Initiative (OCI)
Oracle Cloud Infrastructure
Perspective VMS
Redis
SAP Data Intelligence
SAP Data Services
SAP Data Warehouse Cloud
SAP Internet of Things
SQL Server
aelf
iTalent

Integrations Supported

Amazon Aurora
Amazon ElastiCache
Azure Marketplace
Greenplum
Hazelcast
Huawei Cloud
MSC Apex
MetricFire
Odoo
Open Container Initiative (OCI)
Oracle Cloud Infrastructure
Perspective VMS
Redis
SAP Data Intelligence
SAP Data Services
SAP Data Warehouse Cloud
SAP Internet of Things
SQL Server
aelf
iTalent

API Availability

Has API

API Availability

Has API

Pricing Information

$136 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Huawei Cloud

Date Founded

1987

Company Location

China

Company Website

www.huaweicloud.com/intl/en-us/product/apm.html

Company Facts

Organization Name

Heimdall Data

Date Founded

2015

Company Location

United States

Company Website

heimdalldata.com

Categories and Features

Application Performance Monitoring (APM)

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

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Application Lifecycle Management

Administrator Level Control
Defect Tracking
Iteration Planning
Project Management
Release Management
Requirements Review
Task Management
Test Case Tracking
User Level Management
Version Control

Application Performance Monitoring (APM)

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

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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