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Datadog vs Observer GigaStor comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

Review summaries and opinions

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

Categories and Ranking

Datadog
Ranking in Network Monitoring Software
3rd
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th), AI Observability (1st)
Observer GigaStor
Ranking in Network Monitoring Software
84th
Average Rating
9.0
Reviews Sentiment
8.1
Number of Reviews
7
Ranking in other categories
Network Troubleshooting (14th), Network Packet Broker (NPB) (8th)
 

Mindshare comparison

As of August 2026, in the Network Monitoring Software category, the mindshare of Datadog is 2.3%, down from 3.3% compared to the previous year. The mindshare of Observer GigaStor is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Mindshare Distribution
ProductMindshare (%)
Datadog2.3%
Observer GigaStor0.5%
Other97.2%
Network Monitoring Software
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
Jeroen-Dubbelman - PeerSpot reviewer
Director at Bitrate
Aids significantly in the threat-hunting process and provides a score-based evaluation of user experience
There are many valuable features, but understanding end-user response times stands out. It provides a score-based evaluation of user experience, helping customers quickly pinpoint whether issues originate from the network, server, client, or application. Additionally, it facilitates in-depth analysis of application dependencies. The retrospective network analysis capability of Observer GigaStor has been beneficial. It's a pivotal feature for network performance solutions. However, I prefer to consider the entire solution suite - GigaStor, along with GigaFlow and Apex - for comprehensive network visibility and monitoring. So, I prefer to integrate all three solutions to provide the best visibility. They complement each other well, with Apex aggregating and correlating data from both GigaStor and GigaFlow to enhance environmental understanding and troubleshooting efficiency.

Quotes from Members

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

Pros

"With Datadog I can look at the health of the technology stack and services."
"I have found error reporting and log centralization the most valuable features, and overall Datadog provides a full package solution."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"We have way more observability than what we had before - on the application and the overall system."
"The full stack of integrations made it easier to monitor the different technologies and platform providers, including Software as a Service providers, that otherwise would need a lot of work and customization to be able to see what is happening."
"We have been impressed with the uptime and clean and light resource usage of the agents."
"It has enhanced the performance of my team."
"The platform appeals to companies spanning many industries on a global scale."
"This solution allows us to see exactly what is going on in the network and we can very quickly solve issues with users."
"The ability to capture packets. It is not only for monitoring. That is very important for a company that wants to keep an eye on the packets, the transactions, the flows..."
"Enables us to go back in time to capture an issue and analyze it for a solution, and this after the fact analysis is key to overcoming the bump in the night issues."
"Industry-leading line rates, packet-capture technology and data-mining capabilities are the most valuable features."
"If you have the opportunity, I would strongly encourage you to get it, because it makes the IT experience easier and more flexible, by providing the ability to see things in your networks like the directory packet label."
"Go take a look at it. It's a great product and has great capabilities."
"I also have the ability to see an application's performance, to see what's going on, why a network is slow, why this program for this user is experiencing a delay or some network issue"
"There are many valuable features, but understanding end-user response times stands out. It provides a score-based evaluation of user experience, helping customers quickly pinpoint whether issues originate from the network, server, client, or application. Additionally, it facilitates in-depth analysis of application dependencies."
 

Cons

"Users need to be aware of licensing control. With autodiscovery, the product can begin to come at a high cost."
"Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"The pricing model can be quite complex and might benefit from more flexible options tailored to different organizational needs."
"It could use some additional features when working with metrics like Grafana or like New Relic has. Datadog does not use library technologies like Dynatrace does. Datadog has machine learning too, but it does not have this option in all layers of monitoring like infrastructure service process in applications."
"As a new customer, the Datadog user interface is a bit daunting."
"The solution should provide alerts for cloud outages."
"The monitors can be improved."
"There are some issues, in our environment that puts processing restraints on the Gigastor when turning on trending data to be sent to APEX."
"I would like to have more than 4TB of storage available in the portable version of this solution."
"The interface is pretty complex, so for the average user, it takes a while to get up to speed with it. I would like it to be more user-friendly."
"Maybe the graphical user interface could be simplified to allow people to use it more easily. It's already good, but they can work more on it to make it even easier."
"Graphics need improvement. Because a lot of the information there you have to input first in some case to have full potential. It could be more automated."
"The Observer Console UI is consistent and stable, but could use some updating to be more modern."
"GigaStor feeds into Apex. So, the area where there could be improvement would be in artificial intelligence. For example, the incorporation of more advanced machine learning or AI capabilities could enhance its functionality."
 

Pricing and Cost Advice

"It has a module-based pricing model."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"Licensing is based on the retention period of logs and metrics."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"It depends on the requirements you have. There are three types of license. There's the updates license, the work group license, and the workstation license."
"It's quite expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
7%
Construction Company
18%
Financial Services Firm
14%
Outsourcing Company
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise49
Large Enterprise100
By reviewers
Company SizeCount
Small Business5
Large Enterprise3
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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Comparisons

 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Cisco Systems, Hawaiian Telecom, Renown Health, State of Nevada, U.S. Department of Veteran Affairs, Allstate Insurance, Jack Henry & Associates, United States Airforce, US Bank, Blue Cross Blue Shield of Minnesota, Texas Tech University Health Sciences Center, Chicago Board Options Exchange
Find out what your peers are saying about Datadog vs. Observer GigaStor and other solutions. Updated: August 2026.
910,005 professionals have used our research since 2012.