Compare Cavisson NetForest vs. SolarWinds Kiwi Syslog Server

Cavisson NetForest is ranked 45th in Log Management while SolarWinds Kiwi Syslog Server is ranked 21st in Log Management with 1 review. Cavisson NetForest is rated 0, while SolarWinds Kiwi Syslog Server is rated 8.0. On the other hand, the top reviewer of SolarWinds Kiwi Syslog Server writes "Easy to configure and provides valuable security alerting". Cavisson NetForest is most compared with , whereas SolarWinds Kiwi Syslog Server is most compared with Graylog, Splunk, ManageEngine EventLog Analyzer, Loggly and IBM QRadar.
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Ranking
45th
out of 53 in Log Management
Views
67
Comparisons
36
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
21st
out of 53 in Log Management
Views
815
Comparisons
645
Reviews
1
Average Words per Review
379
Avg. Rating
8.0
Popular Comparisons
Also Known As
NetForestKiwi Syslog Server
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Cavisson
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SolarWinds
Overview

Cavisson NetForest is the next generation software that makes use of server logs to troubleshoot performance issues and to understand user behavior. NetForest allows its users to slice and dice machine-generated Big Data for decision-making insights. Pattern recognition and correlation analysis are some of the strong features to help software developers and performance engineering teams carry-out root cause analysis for optimizing application performance.

A syslog server is a logging server that allows for the centralized collection of syslog messages, known as events, from a variety of networking devices such as routers, switches, and firewalls, in addition to servers running a variety of operating systems.

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Sample Customers
Macy's, Michael's, Art.comHoly Cross Energy, West Texas A&M University, Medium Enterprise Industrial Manufacturing Company
Top Industries
No Data Available
VISITORS READING REVIEWS
Software R&D Company46%
Comms Service Provider19%
Legal Firm10%
Government7%
Find out what your peers are saying about Splunk, LogRhythm, IBM and others in Log Management. Updated: June 2020.
425,338 professionals have used our research since 2012.

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