Glassbeam vs Hitachi JP1 Operations Analytics [EOL] comparison

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Executive Summary

We performed a comparison between Glassbeam and Hitachi JP1 Operations Analytics [EOL] 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).
768,246 professionals have used our research since 2012.
Ranking
27th
Views
30
Comparisons
14
Reviews
0
Average Words per Review
0
Rating
N/A
Unranked
In IT Operations Analytics
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.
768,246 professionals have used our research since 2012.
Comparisons
Also Known As
Hitachi JP1/Operations Analytics
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Overview

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).


JP1/Operations Analytics investigates and analyzes, from various angles, the failures that might occur in IT systems that have been consolidated via the use of virtual environments and cloud services. You can use the provided tools to speed up system recovery. JP1/Operations Analytics automatically detects the applications, servers, switches, storage devices, and other managed components that make up the IT infrastructure, and then visualizes the associations between the components and the business systems that use them. As a result, when a failure occurs, you can quickly assess the impact of the failure on business systems categorized by importance and then determine an appropriate initial response based on the importance of each business system. In addition, JP1/Operation Analytics displays a list of components as candidates for analysis or other response measures, simplifying the way in which failures are handled and supporting your company's entire failure-response procedure, from investigation to recovery.

    Sample Customers
    Aruba Networks, Hitachi Data Systems, Blue Arc, Meru Networks, Dimension Data
    Information Not 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.
    768,246 professionals have used our research since 2012.

    Glassbeam is ranked 27th in IT Operations Analytics while Hitachi JP1 Operations Analytics [EOL] doesn't meet the minimum requirements to be ranked in IT Operations Analytics. Glassbeam is rated 0.0, while Hitachi JP1 Operations Analytics [EOL] is rated 0.0. On the other hand, Glassbeam is most compared with , whereas Hitachi JP1 Operations Analytics [EOL] 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.