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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) (5th), 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 July 2026, in the Network Monitoring Software category, the mindshare of Datadog is 2.4%, 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 (%)
Datadog2.4%
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

"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"It has empowered all our platform engineers with a very powerful and easy to use monitoring system."
"Datadog gave us the opportunity to have a single platform for observability."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"Datadog provides a lot of value in terms of adding monitoring and observability to our app."
"By leveraging AWS's functionality, we have increased our application's security and sped up the deployment process."
"From the number of outages stopped or shortened (which lead to lost revenue from non-renewals) and the number of hours saved on investigations (which correlates to engineering salaries), I estimate that the ROI of the implementation time and monthly charges to be between 10x and 20x."
"Customizable views as well as the ability to "dive in" when we see someting anomalous has improved the workflow for handling incidents."
"Go take a look at it. It's a great product and has great capabilities."
"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."
"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."
"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"
"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."
"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."
"Industry-leading line rates, packet-capture technology and data-mining capabilities are the most valuable features."
 

Cons

"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"Datadog is a platform that can be improved by making its pricing more predictable, as sometimes it is difficult to forecast exactly how much a new project will cost until after we have started ingesting the data."
"To be very fair, I haven't had enough experience with Datadog to pick out improvements."
"One of the improvement opportunities that we have identified in my project concerns how hard it is to manage an organizational structure when you have multiple things in one organization, and you want to provide some kind of isolation between them."
"Support via tickets is absolutely terrible. It's the one obvious bad spot for Datadog."
"For some features, it was quite expensive. For example, APM and RAM, and Session Replays."
"The hardest thing we experience is just training people on what to search for when identifying a problem in Datadog, and having some additional training that might be easily accessible would probably be a benefit."
"The product needs a better Datadog agent installation."
"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."
"There are some issues, in our environment that puts processing restraints on the Gigastor when turning on trending data to be sent to APEX."
"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."
"I would like to have more than 4TB of storage available in the portable version of this solution."
"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."
"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

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"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."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"Licensing is based on the retention period of logs and metrics."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"It didn't scale well from the cost perspective. We had a custom package deal."
"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."
"This solution is budget friendly."
"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
15%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
Construction Company
18%
Financial Services Firm
14%
Computer Software Company
7%
Manufacturing Company
6%
 

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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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: June 2026.
903,067 professionals have used our research since 2012.