ExtraHop Reveal(x) for IT Operations vs Glassbeam comparison

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Executive Summary

We performed a comparison between ExtraHop Reveal(x) for IT Operations and Glassbeam 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: March 2024).
765,234 professionals have used our research since 2012.
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Pricing and Cost Advice
  • "The pricing is fair considering the value provided."
  • "The pricing is higher than other solutions, but with such good features, I think it's worth it."
  • "The price of this solution for our environment is about £650,000 ($855,000 USD) for three years."
  • More ExtraHop Reveal(x) for IT Operations Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:This solution is more applications reference architecture focused. Its benefit is that it specializes in that space.
    Top Answer:The pricing is somewhere in the middle. I't not cheap or expensive.
    Top Answer:What they can improve would be building a broader reach in terms of capabilities. At the same time, there are other tools on the market that could augment their offering. They either have to go broad… more »
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    Ranking
    7th
    Views
    415
    Comparisons
    208
    Reviews
    1
    Average Words per Review
    725
    Rating
    7.0
    27th
    Views
    34
    Comparisons
    17
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
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    Overview

    The ExtraHop Application Performance Management Solution Delivers Unified Visibility Across the IT Environment w/ Proactive Alerts & Accelerated Troubleshooting

    Glassbeam Big Data Platform and applications helps your support teams troubleshoot faster, allows your engineering teams to build better
    products and provides up-sell visibility for sales teams to increase revenues.

    Our proprietary end-to-end solutions for IoT Analytics are powered by our patent-pending semiotic parsing language (SPL) and SCALAR hyper scale platform. Our platform enables our clients to ingest, parse and analyze complex machine data logs of usage, performance, configuration, and settings information. It can handle all types of machine log data, regardless of variety (structured, unstructured or semi-structured), velocity (streaming and batch uploads), and volume (retention over 3-4 years or more).


    Sample Customers
    Alaska Airlines, bet365, Concur, McKesson, Microsoft, Morgan Stanley, Practice Fusion, Seattle Children's Hospital, Steward Health Care System
    Aruba Networks, Hitachi Data Systems, Blue Arc, Meru Networks, Dimension Data
    Top Industries
    VISITORS READING REVIEWS
    Educational Organization48%
    Financial Services Firm10%
    Computer Software Company7%
    Government4%
    No Data Available
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise25%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise54%
    Large Enterprise35%
    No Data Available
    Buyer's Guide
    IT Operations Analytics
    March 2024
    Find out what your peers are saying about Splunk, New Relic, Devo and others in IT Operations Analytics. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    ExtraHop Reveal(x) for IT Operations is ranked 7th in IT Operations Analytics with 8 reviews while Glassbeam is ranked 27th in IT Operations Analytics. ExtraHop Reveal(x) for IT Operations is rated 8.6, while Glassbeam is rated 0.0. The top reviewer of ExtraHop Reveal(x) for IT Operations writes "Great for identifying application interdependencies with helpful support but needs better visualizations". On the other hand, ExtraHop Reveal(x) for IT Operations is most compared with vRealize Network Insight, ThousandEyes, SolarWinds NPM, NETSCOUT nGeniusONE and Splunk Enterprise Security, whereas Glassbeam 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.