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Elastic X-Pack [EOL] vs inxsoftware INX +Analytics [EOL] comparison

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Buyer's Guide
Data Visualization
April 2024
Executive Summary

We performed a comparison between Elastic X-Pack [EOL] and inxsoftware INX +Analytics [EOL] based on real PeerSpot user reviews.

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Ranking
Unranked
In Data Visualization
Unranked
In Data Visualization
Buyer's Guide
Data Visualization
April 2024
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Comparisons
Also Known As
INX +Analytics
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Elastic
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INX Software
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Overview

X-Pack is an Elastic Stack extension that bundles security, alerting, monitoring, reporting, and graph capabilities into one easy-to-install package. While the X-Pack components are designed to work together seamlessly, you can easily enable or disable the features you want to use.

INX +Analytics assists the entire workforce management process by simplifying reporting and graphing through a single screen, drill-down dashboard display. Gathering information on day-to-day operations is typically a time-consuming and complex task. This generally relies on multiple people, spreadsheets and systems but with INX +Analytics this is all managed for you in the one place, on the one screen. Your management meetings are now sorted.

Sample Customers
Sprint, Travelport, Grab, Autopilot, Just Eat, Accenture, Dell, Verizon Wireless, Guidestar, Influence Health, Shopback, Kaidee, Compare Group, Tango
Nelson City Council
Buyer's Guide
Data Visualization
April 2024
Download Free Report
Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization. Updated: April 2024.
DOWNLOAD NOW
768,246 professionals have used our research since 2012.

Elastic X-Pack [EOL] doesn't meet the minimum requirements to be ranked in Data Visualization while inxsoftware INX +Analytics [EOL] doesn't meet the minimum requirements to be ranked in Data Visualization. Elastic X-Pack [EOL] is rated 0.0, while inxsoftware INX +Analytics [EOL] is rated 0.0. On the other hand, Elastic X-Pack [EOL] is most compared with , whereas inxsoftware INX +Analytics [EOL] is most compared with .

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We monitor all Data Visualization 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.