Compare Hitachi JP1/Operations Analytics vs. Moogsoft

Hitachi JP1/Operations Analytics is ranked 20th in IT Operations Analytics while Moogsoft is ranked 4th in IT Operations Analytics with 3 reviews. Hitachi JP1/Operations Analytics is rated 0, while Moogsoft is rated 7.4. On the other hand, the top reviewer of Moogsoft writes "Improves the efficiency of our organization but it should have more artificial intelligence ". Hitachi JP1/Operations Analytics is most compared with Splunk, whereas Moogsoft is most compared with Splunk, BigPanda and ScienceLogic.
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377,828 professionals have used our research since 2012.
Ranking
20th
Views
99
Comparisons
75
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
4th
Views
9,021
Comparisons
6,256
Reviews
3
Average Words per Review
703
Avg. Rating
7.3
Top Comparisons
Compared 31% of the time.
Compared 22% of the time.
Compared 5% of the time.
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Overview

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.

    Moogsoft AIOps sits on top of your entire production stack (including ITOM and APM) and extends across your automation, service management, log indexing and notification tools. Algorithmic Noise Reduction automatically reduces event volumes to unique alerts without relying on rules, filters or models. This enables your team to analyze all of your monitoring ecosystem events with no noise and no blind spots.
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    Sample Customers
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    RetailNext
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Software R&D Company34%
    Government12%
    Media Company7%
    Manufacturing Company7%
    Find out what your peers are saying about Splunk, Evanios, ExtraHop Networks and others in IT Operations Analytics. Updated: October 2019.
    377,828 professionals have used our research since 2012.
    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.
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