Extreme 9920 Cloud-Native Network Visibility Platform vs Observer GigaStor comparison

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  • "It depends on the requirements you have. There are three types of license. There's the updates license, the work group license, and the workstation license."
  • "It's quite expensive."
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    Top Answer:There are many valuable features, but understanding end-user response times stands out. It provides a score-based evaluation of user experience, helping customers quickly pinpoint whether issues… more »
    Top Answer:I would rate the pricing a ten out of ten. It's quite expensive.
    Top Answer:GigaStor feeds into Apex. So, the area where there could be improvement would be in artificial intelligence. For example, the incorporation of more advanced machine learning or AI capabilities could… more »
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    Also Known As
    Extreme Physical Packet Broker, Brocade Packet Broker, Extreme MLXe Packet Broker, Extreme MLXe, MLXe Packet Broker
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    Extreme
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    Overview

    The expectation of greater and more flexible visibility into data on the network is driving distributed data visibility requirements. Service Providers need to have the value of a cloud native experience with the reliability of carrier-grade platforms for their automation and visibility. Cloud-native systems are designed to embrace rapid change at large scale with resiliency built-in to produce value faster and focus on business objectives.

    5G has changed the way Service Provider networks are designed with new use cases and associated data appearing at the mobile edge every day. Traditional visibility tools cannot adjust to the broader requirements of the cloud-native 5G architecture. Existing solutions often require an infrastructure change to adapt to new customer use cases which leads to a fragmented visibility solution, complexity, and additional cost.

    Built from the ground up for a cloud-native world, the Extreme 9920 platform delivers an industry-changing network visibility platform based on cloud-native principles that is designed to integrate with and address the needs of the most reliable Service Provider environments.

    Observer GigaStor is a network analysis tool that comes in a variety of form factors, including rack mount, portable, and virtual. Capable of storing up to a petabyte of traffic for later analysis, GigaStor helps ensure optimal network and application performance.

    Sample Customers
    Information Not Available
    Cisco Systems, Hawaiian Telecom, Renown Health, State of Nevada, U.S. Department of Veteran Affairs, Allstate Insurance, Jack Henry & Associates, United States Airforce, US Bank, Blue Cross Blue Shield of Minnesota, Texas Tech University Health Sciences Center, Chicago Board Options Exchange
    Top Industries
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    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm17%
    Manufacturing Company11%
    University11%
    Company Size
    No Data Available
    REVIEWERS
    Small Business63%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise9%
    Large Enterprise81%

    Extreme 9920 Cloud-Native Network Visibility Platform is ranked 14th in Network Packet Broker (NPB) while Observer GigaStor is ranked 8th in Network Packet Broker (NPB) with 7 reviews. Extreme 9920 Cloud-Native Network Visibility Platform is rated 0.0, while Observer GigaStor is rated 9.0. On the other hand, the top reviewer of Observer GigaStor writes "Aids significantly in the threat-hunting process and provides a score-based evaluation of user experience". Extreme 9920 Cloud-Native Network Visibility Platform is most compared with , whereas Observer GigaStor is most compared with Gigamon Deep Observability Pipeline, Wireshark, Kentik and Cisco Nexus Dashboard Data Broker.

    See our list of best Network Packet Broker (NPB) vendors.

    We monitor all Network Packet Broker (NPB) 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.