AppDynamics Application Analytics vs gen-E comparison

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191 views|121 comparisons
100% willing to recommend
gen-E Logo
36 views|24 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between AppDynamics Application Analytics and gen-E based on real PeerSpot user reviews.

Find out what your peers are saying about Splunk, New Relic, Devo and others in IT Operations Analytics.
To learn more, read our detailed IT Operations Analytics Report (Updated: April 2024).
767,847 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "The pricing of the solution is reasonable for what features you receive."
  • "The license fee for Application Analytics is in the range of 2.5 million over three years, with extra fees for service contingencies."
  • "It's a very expensive product. Each of the licenses after this month for one server is around $9,000 or $10,000."
  • More AppDynamics Application Analytics Pricing and Cost Advice →

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    767,847 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:It's a very expensive product. Each of the licenses after this month for one server is around $9,000 or $10,000. Therefore, monitoring one server concerning analytics or server monitoring is pretty… more »
    Top Answer:We'd like to see features that could support IBM's Integration Bus. AppDynamics is unable to provide the details for all the flows in the system transaction flow. That component needs work. The… more »
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    Ranking
    9th
    Views
    191
    Comparisons
    121
    Reviews
    2
    Average Words per Review
    457
    Rating
    8.0
    25th
    Views
    36
    Comparisons
    24
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Overview

    Application Analytics refers to the real-time analysis and visualization of automatically collected and correlated data to get insights into IT operations, customer experience and business outcomes. With this next generation of IT operations analytics platform, IT and business users are empowered to quickly answer more meaningful questions than ever before, all in real-time.

    gen-E OpsCenter empowers you to predict, analyze and resolve network problems while cutting redundant costs before they impact your customers and your business.

    Unified Service Assurance and IT Service Management for Service Providers, Business Service Providers and Enterprise.

    A business intelligence platform that provides advanced analytics and a real-time dashboard view into the performance of your entire business.

    With a team of IBM Tivoli Netcool and Predictive Analytics experts we are able to guide you through every aspect of services delivery.

    Sample Customers
    Sony, DirecTV, UBS, The Container Store, The Neta Porter Group, Nasdaq, Cisco, eHarmony, Hallmark, Overstock, Expedia
    Charter Communications, Mediacom, HTC, Verizon, Motorola, Zayo, Fico, Fairview, Mary Kay, Eastman
    Company Size
    REVIEWERS
    Small Business8%
    Midsize Enterprise8%
    Large Enterprise83%
    No Data Available
    Buyer's Guide
    IT Operations Analytics
    April 2024
    Find out what your peers are saying about Splunk, New Relic, Devo and others in IT Operations Analytics. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    AppDynamics Application Analytics is ranked 9th in IT Operations Analytics with 11 reviews while gen-E is ranked 25th in IT Operations Analytics. AppDynamics Application Analytics is rated 8.2, while gen-E is rated 0.0. The top reviewer of AppDynamics Application Analytics writes "Offers very good application performance and features which reflect backend health". On the other hand, AppDynamics Application Analytics is most compared with , whereas gen-E is most compared with .

    See our list of best IT Operations Analytics vendors.

    We monitor all IT Operations Analytics 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.