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Gigamon Deep Observability Pipeline vs ScienceLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 23, 2025

Review summaries and opinions

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

ROI

Sentiment score
8.5
Gigamon Deep Observability Pipeline boosts productivity and efficiency through reduced troubleshooting, improved security visibility, and optimized resource management.
Sentiment score
7.4
ScienceLogic users report high returns, reduced incident response times, improved troubleshooting, and benefits outweigh initial costs by year two.
The return on investment is fair but often challenged by medium-sized businesses who may question its adequacy.
 

Customer Service

Sentiment score
6.5
Customer service for Gigamon Deep Observability Pipeline is mixed, with some praising it while others find it lacking in direct assistance.
Sentiment score
7.7
ScienceLogic's customer service is praised for responsiveness, knowledge, efficiency, and round-the-clock support despite occasional delays.
Problems with Skylar may require longer wait times due to limited resource expertise.
 

Scalability Issues

Sentiment score
7.3
Gigamon Deep Observability Pipeline scales well in cloud environments but may face challenges with on-premise scalability and outdated hardware.
Sentiment score
6.9
ScienceLogic offers scalability across devices, but could improve ease in scaling operations for cloud and on-premise environments.
 

Stability Issues

Sentiment score
8.2
Users consistently rate Gigamon Deep Observability Pipeline highly for its stability, with minimal issues reported over a year of use.
Sentiment score
7.1
ScienceLogic is highly regarded for stability, reliability, and efficiency, with minor issues not affecting overall performance and quick recovery.
Stability should relate to whether the platform fails, stops working, or breaks.
 

Room For Improvement

Gigamon needs better security, traffic inspection, improved GUI, increased capacity, better filtering, and easier cloud setup, with faster hardware delivery.
ScienceLogic users seek improvements in reporting, UI, API, integration, observability, performance monitoring, documentation, and proactive notifications.
While some other companies have easier APIs, using this solution demands significant expertise.
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
 

Setup Cost

<p>Gigamon Deep Observability Pipeline's pricing is considered high but varies by equipment needs, with competitive alternatives available.</p>
ScienceLogic offers negotiable but potentially costly pricing with scalable, tier-based licenses, requiring careful cost management.
 

Valuable Features

Gigamon Deep Observability Pipeline improves firewall performance and enhances network traffic analysis with features like deduplication and encryption.
ScienceLogic offers customizable dashboards, integration capabilities, AI mapping, and robust monitoring for effective IT and network management.
The solution excels in three areas: application monitoring, server monitoring, and network performance monitoring.
The CMDB update and the automatic CMDB update are valuable.
 

Categories and Ranking

Gigamon Deep Observability ...
Ranking in Event Monitoring
10th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
8
Ranking in other categories
Application Performance Monitoring (APM) and Observability (23rd), Data Loss Prevention (DLP) (18th), Security Information and Event Management (SIEM) (27th), Web Application Firewall (WAF) (20th), 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
7.1
Number of Reviews
44
Ranking in other categories
Unified Communications Monitoring (1st), Network Monitoring Software (27th), Server Monitoring (12th), IT Infrastructure Monitoring (24th), IT Operations Analytics (7th), Cloud Monitoring Software (19th), AIOps (7th)
 

Mindshare comparison

As of February 2025, in the Event Monitoring category, the mindshare of Gigamon Deep Observability Pipeline is 0.5%, up from 0.5% compared to the previous year. The mindshare of ScienceLogic is 7.2%, up from 7.2% 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…
Michael Wenn - PeerSpot reviewer
Offers comprehensive monitoring and tool consolidation but integration complexity needs improvement
There is room for improvement in the speed of setting up the service and integrating PowerPacks. Although these prebuilt features are great, there is considerable complexity in bringing them together to create a unified dashboard. Even with many good integrations and deep visibility, the implementation takes time, especially when it doesn't involve these integrations. While some other companies have easier APIs, using this solution demands significant expertise. It's challenging for new customers to implement independently. The implementation speed of non-PowerPack or non-out-of-the-box integrations should be improved. Additionally, the AI automation feature is not yet very rich due to resource constraints supporting a wide platform.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
15%
Manufacturing Company
8%
University
6%
Computer Software Company
16%
Financial Services Firm
11%
Manufacturing Company
9%
Government
8%
 

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 needs improvement with ScienceLogic?
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
 

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: January 2025.
838,713 professionals have used our research since 2012.