Evanios vs Hitachi JP1 Operations Analytics [EOL] comparison

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94 views|66 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Evanios 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).
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Questions from the Community
Top Answer:The most valuable feature is the integration with various alert-generating systems because you might have synthetic alerts or monitoring alerts for volume drops.
Top Answer:The price could be cheaper. That was one reason why we switched to PagerDuty. We wanted to switch to something that provided the same features but at a lower cost. We also switched because PagerDuty… more »
Top Answer:The solution ingests events that are generated by monitoring, and it creates incidents in ServiceNow using those events. Monitoring tools like New Relic feed the alerts into Evanios. Evanios then… more »
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Ranking
13th
Views
94
Comparisons
66
Reviews
1
Average Words per Review
583
Rating
8.0
Unranked
In IT Operations Analytics
Comparisons
Also Known As
Hitachi JP1/Operations Analytics
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Overview

A key component of the Event Management process is consolidation of events from across the enterprise. By consolidating disparate events into a single solution, they can be de-duplicated and correlated. For example, network failure events can be correlated with system failures, and then prioritized based on service impact.

Reduce the noise

Evanios Integrations allows filtering and processing close to the event source, keeping the weight off of the ServiceNow system for increased performance. Filters are easily configured. EVA, the Evanios consolidation point also has built in event flood control features, to protect against unexpected event storms which can quickly overload traditional integrations.

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
    Greenville Health System, Land O’Lakes, AstraZeneca
    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.
    769,630 professionals have used our research since 2012.

    Evanios is ranked 13th in IT Operations Analytics with 6 reviews while Hitachi JP1 Operations Analytics [EOL] doesn't meet the minimum requirements to be ranked in IT Operations Analytics. Evanios is rated 9.6, while Hitachi JP1 Operations Analytics [EOL] is rated 0.0. The top reviewer of Evanios writes "The vendor is willing to work with us and develop solutions for products they did not already have an integration for". On the other hand, Evanios is most compared with Splunk Enterprise Security, 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.