OpenText Business Process Monitoring vs Unravel Data comparison

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Executive Summary

We performed a comparison between OpenText Business Process Monitoring and Unravel Data 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
Anonymous User
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Questions from the Community
Top Answer:Synthetic Monitoring is a very good capability as we can simulate the end-user interaction with the application and proactively we can discover issues before the real end users are impacted.
Top Answer:Here are some ways that Micro Focus APM (RUM and BPM) can help you identify the root cause of application issues Real User Monitoring (RUM) collects data from real users as they interact with… more »
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Earn 20 points

Ranking
Views
479
Comparisons
393
Reviews
0
Average Words per Review
0
Rating
N/A
3rd
out of 11 in Data Observability
Views
27
Comparisons
20
Reviews
0
Average Words per Review
0
Rating
N/A
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.
Comparisons
Also Known As
Micro Focus Business Process Monitor, HPE Business Process Monitor
Unravel APM
Learn More
Overview

OpenText Business Process Monitoring is an Application monitoring software.

Proactively and consistently monitor business processes to identify performance issues before they affect users.

Review affected service level agreements.

BPM provides consistent, predictable measurements that help you associate the business impact with its root cause.

The Unravel platform harnesses full-stack visibility, contextual awareness, AI-powered intelligence, and automation to go “beyond observability”—to not only show you what’s going on and why, but tell you exactly how to make things better and then keep them that way proactively. For every member of your data team.

Sample Customers
United Airlines, Vodafone Ireland, TEB, The Australian Red Cross Blood Service
Kaiser Permanente, Microsoft, Autodesk, CVS, Deutsche Bank, Sony Interactive Entertainment
Top Industries
VISITORS READING REVIEWS
Manufacturing Company17%
Financial Services Firm14%
Computer Software Company14%
Wholesaler/Distributor9%
VISITORS READING REVIEWS
Financial Services Firm30%
Computer Software Company13%
Manufacturing Company9%
Healthcare Company6%
Company Size
VISITORS READING REVIEWS
Small Business24%
Midsize Enterprise8%
Large Enterprise68%
VISITORS READING REVIEWS
Small Business21%
Midsize Enterprise8%
Large Enterprise72%
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.

OpenText Business Process Monitoring is ranked 57th in Application Performance Monitoring (APM) and Observability while Unravel Data is ranked 3rd in Data Observability. OpenText Business Process Monitoring is rated 8.0, while Unravel Data is rated 0.0. The top reviewer of OpenText Business Process Monitoring writes "Stable with good performance visibility but is a discontinued product". On the other hand, OpenText Business Process Monitoring is most compared with Dynatrace, AppDynamics and Datadog, whereas Unravel Data is most compared with Dynatrace, Datadog, Grafana and Monte Carlo.

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.