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CA CEM [EOL] vs TeVista [EOL] comparison

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CA CEM [EOL]

Read 1 CA CEM [EOL] review
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0% willing to recommend
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TeVista [EOL]

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Buyer's Guide
Application Performance Monitoring (APM) and Observability
April 2024
Executive Summary

We performed a comparison between CA CEM [EOL] and TeVista [EOL] based on real PeerSpot user reviews.

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Featured Review
Anonymous User
It provides a powerful network analysis both with individual transactions and general network performance. We've had...
We've found that it really helps managers in measuring application SLAs and viewing historical performance data.
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Ranking
Unranked
In Application Performance Monitoring (APM) and Observability
Unranked
In Application Performance Monitoring (APM) and Observability
Buyer's Guide
Application Performance Monitoring (APM) and Observability
April 2024
Download Free Report
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability. Updated: April 2024.
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Comparisons
Also Known As
CEM
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Rocket Software
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Overview
CA Customer Experience Manager (CA CEM) is a product within the Application Performance Management solution that measures web application performance for each individual customer. CA CEM measures the performance and quality of customer transactions, identifies defects and variance, and quantifies the impact on customers and the business. CA CEM lets you monitor real user activities -- including login, account update, or purchase transactions -- at the business service level. By proactively detecting trends in degraded customer transaction response times and providing various actionable reports, CA CEM lets you act before problems occur or SLAs are out of compliance. These capabilities enable both your business managers and IT staff to understand and resolve performance problems before end users call for support.

ASG-TeVISTA Performance Manager (ASG-TPM) is an end-end network and application performance monitoring solution, which pro-actively monitors network services and applications to ensure that business services are meeting the availability and response time requirements of their endusers. This is achieved through the deployment of one or more synthetic user agents across a customer's network to emulate end- user activity on the network and measure the system's response time. By monitoring from multiple locations and at different levels within the network ASG-TPM provides a comprehensive visibility of the performance of business critical services and the underlying IT infrastructure on which they depend.

Sample Customers
First Horizon National Corporation, Olympus, Petroleum Company of Trinidad and Tobago LimitedŒ _Petrotrinî, Racing and Wagering Western Australia
U.S. Department of Defense, eBay, Kaiser Permanente, Coca-Cola, Northeast Foods, General Electric Company
Buyer's Guide
Application Performance Monitoring (APM) and Observability
April 2024
Download Free Report
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability. Updated: April 2024.
DOWNLOAD NOW
768,578 professionals have used our research since 2012.

CA CEM [EOL] doesn't meet the minimum requirements to be ranked in Application Performance Monitoring (APM) and Observability while TeVista [EOL] doesn't meet the minimum requirements to be ranked in Application Performance Monitoring (APM) and Observability. CA CEM [EOL] is rated 6.0, while TeVista [EOL] is rated 0.0. The top reviewer of CA CEM [EOL] writes "It provides a powerful network analysis both with individual transactions and general network performance. We've had lots of hardware issues with the MPMs". On the other hand, CA CEM [EOL] is most compared with , whereas TeVista [EOL] is most compared with .

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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.