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Gigamon Deep Observability Pipeline vs ScienceLogic comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Customer Service

Sentiment score
10.0
Customer service for Gigamon Deep Observability Pipeline is mixed, with some praising it while others find it lacking in direct assistance.
No sentiment score available
ScienceLogic's support is quick, responsive, and available 24/7, but sometimes requires multiple interactions and varies in knowledge levels.
 

Room For Improvement

Sentiment score
4.8
Gigamon needs better security, traffic inspection, improved GUI, increased capacity, better filtering, and easier cloud setup, with faster hardware delivery.
Sentiment score
4.5
ScienceLogic needs improvements in monitoring, user interface, stability, customization, support, and user-friendliness, with challenges in automation and database monitoring.
 

Scalability Issues

Sentiment score
7.1
Gigamon Deep Observability Pipeline scales well in cloud environments but may face challenges with on-premise scalability and outdated hardware.
Sentiment score
6.8
ScienceLogic is highly rated for scalability and adaptability, though some report onboarding and resource management challenges.
 

Setup Cost

Sentiment score
7.8
<p>Gigamon Deep Observability Pipeline's pricing is considered high but varies by equipment needs, with competitive alternatives available.</p>
No sentiment score available
ScienceLogic's pricing ranges from $8 to $15 per endpoint, offering value through extensive features and straightforward subscriptions.
 

Stability Issues

Sentiment score
8.1
Users consistently rate Gigamon Deep Observability Pipeline highly for its stability, with minimal issues reported over a year of use.
Sentiment score
7.3
ScienceLogic is praised for stable performance, with high ratings, minor customization issues, and occasional challenges in large environments.
 

Valuable Features

Sentiment score
7.9
Gigamon Deep Observability Pipeline improves firewall performance and enhances network traffic analysis with features like deduplication and encryption.
Sentiment score
8.2
ScienceLogic offers agentless configuration, robust monitoring, third-party integration, customizable dashboards, scalability, AI, and comprehensive coverage, ensuring user-friendliness.
 

Categories and Ranking

Gigamon Deep Observability ...
Ranking in Event Monitoring
11th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
8
Ranking in other categories
Application Performance Monitoring (APM) and Observability (26th), Data Loss Prevention (DLP) (17th), Security Information and Event Management (SIEM) (28th), Web Application Firewall (WAF) (19th), Advanced Threat Protection (ATP) (22nd), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (11th)
ScienceLogic
Ranking in Event Monitoring
7th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
42
Ranking in other categories
Unified Communications Monitoring (1st), Network Monitoring Software (33rd), Server Monitoring (13th), IT Infrastructure Monitoring (26th), IT Operations Analytics (7th), Cloud Monitoring Software (22nd), AIOps (8th)
 

Mindshare comparison

As of November 2024, in the Event Monitoring category, the mindshare of Gigamon Deep Observability Pipeline is 0.5%, up from 0.4% compared to the previous year. The mindshare of ScienceLogic is 7.2%, up from 6.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Event Monitoring
 

Featured Reviews

LeonardoAlves - PeerSpot reviewer
Improved the capability to analyze the environment and network problems with easy setup
It improved the capability to analyze the environment and network problems. It also helped streamline your security and performance monitoring The application I use is a script. My environment is a mix of technologies. I have many passionate people in my network who are on a journey in…
GauravSingh4 - PeerSpot reviewer
Great integrations, power flow, and good support
They need a little more self-service. Some of the places where there's still a dependency on defense logic. If those could be eliminated, that would be ideal. They've done a fantastic job eliminating a lot of those dependencies and there's a lot of self-service. However, some of the areas where we could have it connect to, for example, Splunk or ServiceNow, in a self-care version versus having to go back to their engineers, that's an area where they could do a little more. There are still a lot of engineers who get involved versus if it's a little more API-driven and self-served dashboard connections. Doing it the other way would just make life easier for users.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
17%
Manufacturing Company
9%
Government
6%
Computer Software Company
16%
Financial Services Firm
11%
Government
9%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Gigamon Deep Observability Pipeline?
The most valuable feature for improving network visibility with Gigamon is the packet filtering capability.
What needs improvement with Gigamon Deep Observability Pipeline?
The challenge is monitoring the cloud network. In on-premises environments, monitoring is straightforward, as I can verify all packets and communications. However, due to the way access tools and p...
What is your primary use case for Gigamon Deep Observability Pipeline?
It improved the capability to analyze the environment and network problems. It also helped streamline your security and performance monitoring.
What do you like most about ScienceLogic?
The tool is quite easy to deploy, and it offers very good support.
What is your experience regarding pricing and costs for ScienceLogic?
My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price.
What needs improvement with ScienceLogic?
The product's reporting functionalities have certain shortcomings, making it an area where improvements are required. The tool is more or less good. The tool needs to improve its APM capabilities.
 

Also Known As

Gigamon, GigaSecure
No data available
 

Overview

 

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Kellogg Company, Booz Allen, Cisco, Red Bull, Fidelus, Telstra, Comcast, CSC, Peak 10, HughesNet, Hosting, Datapipe, US Army, Equinix, Rite Aid, Carbonite, Sybase, Carpathia, AT&T, ePlus, Dimension Data, Virtustream, Boeing, Honeywell
Find out what your peers are saying about Gigamon Deep Observability Pipeline vs. ScienceLogic and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.