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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
4th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
210
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) (5th), AI Observability (1st)
Observer GigaStor
Ranking in Network Monitoring Software
83rd
Average Rating
9.0
Reviews Sentiment
8.1
Number of Reviews
7
Ranking in other categories
Network Troubleshooting (13th), Network Packet Broker (NPB) (8th)
 

Mindshare comparison

As of May 2026, in the Network Monitoring Software category, the mindshare of Datadog is 2.4%, down from 3.4% 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 (%)
Datadog2.4%
Observer GigaStor0.5%
Other97.1%
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

"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"We find they have a very helpful alert system."
"Thanks to the logs, we manage to make better reports through Jira and also to trace the request with more facility than we would be able to do otherwise."
"We really like the charts and visualization."
"The many dozens of integrations that the solution brings out of the box are excellent."
"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"
"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."
"Datadog is far better than any other monitoring tool in introducing any of the new capabilities because they think before Amazon AWS and Microsoft Azure before they introduce the concepts."
"I have no regrets using this product, I am very satisfied for what I paid for it and for the things I am able to do with the product."
"This solution allows us to see exactly what is going on in the network and we can very quickly solve issues with users."
"It can help to write your rules, organize firewalls, your block, and also your protocols and IP address to come in or out of your network."
"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."
"It's able to capture packets and, after a long time, you can come and use that information; to check, to analyze - everything you would want to do. So it's very good and helpful if you want to protect your data. It is stored in a certain place where you can access it every time you want to analyze it."
"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."
"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..."
 

Cons

"Alerting timing should be improved to be more fine-tuned and exact."
"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."
"While the documentation is very good, there are areas that need a lot of focus to pick up on the key details."
"The pricing model seems to escalate quickly with increasing metrics ingestion and monitoring across clouds."
"Presently, the billing CSV reports provide insights into billing-related information yet are somewhat limited in functionality, typically offering reports with only three columns."
"There is always room for improvement when dealing with cloud-based technologies. Mainly, I would say, it's just increasing our offerings to attract various other types of industries and businesses across more fields."
"It's not just that Datadog is expensive—it's that the cost is incredibly complex and hard to predict."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"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."
"I would like to have more than 4TB of storage available in the portable version of this solution."
"As of this moment, the graphics might need some improvement, because a lot of the information there must be input first to have full potential."
"Maybe the graphical user interface could be simplified to allow people to use it more easily."
"There are some issues, in our environment that puts processing restraints on the Gigastor when turning on trending data to be sent to APEX."
"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."
"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."
 

Pricing and Cost Advice

"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."
"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."
"The solution's pricing depends on project volume."
"Licensing is based on the retention period of logs and metrics."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"The price is better than some competing products."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"It didn't scale well from the cost perspective. We had a custom package deal."
"It's quite expensive."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
9%
Manufacturing Company
8%
Healthcare Company
6%
Construction Company
19%
Financial Services Firm
15%
Government
6%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise47
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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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: April 2026.
894,807 professionals have used our research since 2012.