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ExtraHop Reveal(x) for IT Operations vs IBM Streams comparison

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ExtraHop Reveal(x) for IT Operations

Read 8 ExtraHop Reveal(x) for IT Operations reviews
386 views|190 comparisons
100% willing to recommend
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IBM Streams

Read 5 IBM Streams reviews
674 views|593 comparisons
100% willing to recommend
Comparison Buyer's Guide
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Buyer's Guide
IT Operations Analytics
April 2024
Executive Summary

We performed a comparison between ExtraHop Reveal(x) for IT Operations and IBM Streams 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).
Download the complete report
767,847 professionals have used our research since 2012.
Featured Review
Out West
Great for identifying application interdependencies with helpful support but needs better visualizations
We're just trying to identify the application interdependencies, which normally reside on different servers, including web servers, database... Read more →
Ahmed_Emad
A solution for data pipelines but has connector limitations
Quick deployments
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 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
    What do you like most about ExtraHop Reveal(x) for IT Operations?
    Top Answer:This solution is more applications reference architecture focused. Its benefit is that it specializes in that space.
    Read all 5 answers   →
    What is your experience regarding pricing and costs for ExtraHop Reveal(x...
    Top Answer:The pricing is somewhere in the middle. I't not cheap or expensive.
    Read all 4 answers   →
    What needs improvement with ExtraHop Reveal(x) for IT Operations?
    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 »
    Read all 5 answers   →
    What is your experience regarding pricing and costs for IBM Streams?
    Top Answer:The solution’s licenses pricing is different from one region to another region. I rate the solution’s pricing a seven out of ten.
    What needs improvement with IBM Streams?
    Top Answer:the limited number of connectors. This shall be overcome with work-arounds or eventually buying additional connectors to complete the solution.
    What is your primary use case for IBM Streams?
    Top Answer:We use the solution for data pipeline by modernizing the traditional ETL jobs done through advanced streaming. Another use case is building the g2g streaming platform, which facilitates data exchange… more »
    Ranking
    7th
    out of 30 in IT Operations Analytics
    Views
    386
    Comparisons
    190
    Reviews
    1
    Average Words per Review
    725
    Rating
    7.0
    15th
    out of 38 in Streaming Analytics
    Views
    674
    Comparisons
    593
    Reviews
    1
    Average Words per Review
    447
    Rating
    7.0
    Comparisons
    Also Known As
    IBM InfoSphere Streams
    Learn More
    ExtraHop Networks
    IBM
    Overview

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

    IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. The solution can handle very high data throughput rates, up to millions of events or messages per second. Streams helps you analyze data in motion, simplify development of streaming applications, and extend the value of existing systems.
    Sample Customers
    Alaska Airlines, bet365, Concur, McKesson, Microsoft, Morgan Stanley, Practice Fusion, Seattle Children's Hospital, Steward Health Care System
    Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015
    Top Industries
    VISITORS READING REVIEWS
    Educational Organization49%
    Financial Services Firm10%
    Computer Software Company6%
    Government4%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company15%
    Comms Service Provider6%
    Government6%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise25%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise54%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise10%
    Large Enterprise72%
    Buyer's Guide
    IT Operations Analytics
    April 2024
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    767,847 professionals have used our research since 2012.

    ExtraHop Reveal(x) for IT Operations is ranked 7th in IT Operations Analytics with 8 reviews while IBM Streams is ranked 15th in Streaming Analytics with 5 reviews. ExtraHop Reveal(x) for IT Operations is rated 8.6, while IBM Streams is rated 8.2. 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, the top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". ExtraHop Reveal(x) for IT Operations is most compared with vRealize Network Insight, NETSCOUT nGeniusONE, ThousandEyes, SolarWinds NPM and Dynatrace, whereas IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi.

    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.