Automai AppsWatch vs OpenText Diagnostics comparison

Cancel
You must select at least 2 products to compare!
Automai Corporation Logo
113 views|97 comparisons
OpenText Logo
579 views|389 comparisons
75% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Automai AppsWatch and OpenText Diagnostics based on real PeerSpot user reviews.

Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability.
To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: April 2024).
767,847 professionals have used our research since 2012.
Featured Review
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
767,847 professionals have used our research since 2012.
Ranking
Views
113
Comparisons
97
Reviews
0
Average Words per Review
0
Rating
N/A
Views
579
Comparisons
389
Reviews
1
Average Words per Review
374
Rating
10.0
Comparisons
Also Known As
AppsWatch, NRG Global AppsWatch
Micro Focus Diagnostics, MF Diagnostics
Learn More
Overview
Never be caught catching up with application problems again, or trying to figure out root cause while productivity suffers. With AppsWatch, continuously and proactively monitor the performance of your applications from all your key locations including the cloud. One install is compatible with Citrix, third party apps, all your applications! AppsWatch allows you to be proactive. Tests exactly what the users see and alerts you of any slowness or issues so you can fix them before your users notice them. Free download available. Request a free POC for IT Central members. https://www.nrgglobal.com/application-performance-monitoring-appswatch/
Diagnostics software monitors application transaction health in traditional, virtualized and cloud environments allowing quick isolation and resolution of issues. It gives you a common tool to easily collaborate across the entire application lifecycle and release higher-quality applications. Diagnostics software provides deep drill down into transactions from the end user through the back end. And it uniquely serves as a single tool set for pre-production and production to diagnose application performance bottlenecks quickly and improve quality.
Sample Customers
Los Angeles Metro, UC Irvine Medical Center, Cisco, NYU Langone Hospital.
BSkyB, Alior Bank
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company23%
Financial Services Firm12%
Manufacturing Company9%
Educational Organization8%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise11%
Large Enterprise73%
Buyer's Guide
Application Performance Monitoring (APM) and Observability
April 2024
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability. Updated: April 2024.
767,847 professionals have used our research since 2012.

Automai AppsWatch is ranked 88th in Application Performance Monitoring (APM) and Observability while OpenText Diagnostics is ranked 33rd in Application Performance Monitoring (APM) and Observability with 4 reviews. Automai AppsWatch is rated 0.0, while OpenText Diagnostics is rated 7.8. On the other hand, the top reviewer of OpenText Diagnostics writes "Very good for transaction level monitoring, but expensive and HP needs better support and training". Automai AppsWatch is most compared with , whereas OpenText Diagnostics is most compared with Dynatrace, AppDynamics, Broadcom DX Application Performance Management and Accedian Skylight.

See our list of best Application Performance Monitoring (APM) and Observability vendors.

We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.