No more typing reviews! Try our Samantha, our new voice AI agent.

Datadog vs Google Cloud's operations suite (formerly Stackdriver) comparison

Why PeerSpot?
 

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 Application Performance Monitoring (APM) and Observability
3rd
Ranking in Log Management
4th
Ranking in Cloud Monitoring Software
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (9th), IT Infrastructure Monitoring (3rd), Container Monitoring (3rd), AIOps (2nd), Cloud Security Posture Management (CSPM) (8th), AI Observability (1st)
Google Cloud's operations s...
Ranking in Application Performance Monitoring (APM) and Observability
32nd
Ranking in Log Management
24th
Ranking in Cloud Monitoring Software
19th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
10
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.1%, down from 6.6% compared to the previous year. The mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.9%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.1%
Google Cloud's operations suite (formerly Stackdriver)0.9%
Other95.0%
Application Performance Monitoring (APM) and Observability
 

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.
Anand_Patel - PeerSpot reviewer
Senior Technical Architect at T-Systems International GmbH
Offers reliable Ops Agent and logging transport feature with easy third-party integrations
As part of our company, we implemented several changes in our log analytics pattern, including the storage and procurement process. Earlier, before implementing the solution, our company was able to procure only one year of data, but later, we came to the three-year mark. Around 15-20% reduction has been witnessed in the total analytic consumption of our company. The aforementioned result was possible because the solution allowed the creation of a dashboard where factors like storage costs, proportion of logs, and logs presence in a storage bucket or Big Query can all be checked. Earlier all logs were stored in a raw storage, but currently our company is able to move logs in table bucket that contributes towards cost savings. It has default integration for all gcp services. recently managed Prometheus support gives more flexibility to organizations to remain connected with their current Prometheus setup. We leveraged integrated FinOps Hub for recommendations for our workloads and server configurations, helpd us lot in order to get maximum TCO.

Quotes from Members

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

Pros

"Cost and performance optimization were the major enhancements for our organization."
"So far, Datadog has shown very good options to work on all of our operational and development issues."
"Datadog has clear dashboards and good documentation."
"Real user monitoring gives us invaluable insights into actual user experiences, helping us prioritize improvements where they matter most."
"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"The Datadog suite has allowed us to easily integrate log collection into all of our services and quickly detect unexpected changes in system data to declare security incidents."
"Datadog has helped my organization improve a lot of response time because we get alerts the minute it happens, which is our only means to reduce incident response time."
"We can handle debugging and find out why things are breaking in our applications."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"Offers a valuable logging transport feature"
"The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports."
"It has reduced the amount of time that we would take for troubleshooting."
"The solution has improved our organization by reducing latency and also monitoring the costs of GCP usage by using the logging and monitoring features."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"It has really been helpful in detecting, identifying, and troubleshooting issues with cloud services used in the organization."
"The cloud login enables us to get our logs from the different platforms that we currently use."
 

Cons

"Network device and performance monitoring could be improved, as we've faced some limitations in this area."
"We need a lot of modules since we collect all data logs from all operating systems."
"<p>Datadog could be improved with a simpler graphical user interface that can be extended to non-technical users, such as a CXO, if they want to review the dashboard overall for current tickets and the ticketing dashboard.</p>"
"I believe there is room for improvement with this solution. It wasn't easy for me to get a quick understanding of what this tool offers us as opposed to the added tools of AWS."
"In production, we intend to use trace IDs generated by RUM to attach to support tickets when a user experiences a traceable network error, and we want to display this trace ID to the user so if they were to contact us about a specific issue, they can provide us an exact ID displayed to them back to us. Currently, this is not possible out-of-the-box client-side without inventing our own solution for capturing these trace IDs, such as shimming the native fetch or returning the ID from the service response."
"The real issue with this product is cost control."
"The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite."
"I'd like to see an expansion of the Android and IOS apps to have a simplified CI/CD pipeline history view."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"Google Stackdriver is a stable product, but there is some lagging we cannot stop."
"Lacking sufficient operations documentation."
"It could be even more automated."
"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it. My request goes through various levels of the Google Cloud Platform (GCP) and comes back to my client machine. Suppose that my request has taken 10 seconds overall, so if I want to break it down, to see where the delay is happening within my architecture, I am not able to find that out using Stackdriver."
"It is difficult to estimate in advance how much something is going to cost."
"The logging functionality could be better."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
 

Pricing and Cost Advice

"While it is an expensive product, I would rate the pricing level at four out of five."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"It didn't scale well from the cost perspective. We had a custom package deal."
"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."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"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."
"The solution's pricing depends on project volume."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"The cost could be lower."
"The cost of using Stackdriver depends on usage."
"We have a basic standard license without any additional costs."
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
920,769 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Outsourcing Company
8%
Comms Service Provider
7%
Financial Services Firm
12%
Comms Service Provider
11%
Construction Company
11%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise50
Large Enterprise100
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise9
 

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 ...
What is your experience regarding pricing and costs for Google Stackdriver?
As Ops Suite, is a google product which effectively comes at zero setup cost, in order to manage your on-premises logs on onsite, it involves negligible cost for using ops agent and it also include...
 

Also Known As

No data available
Google Stackdriver, Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
 

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
Uber, Batterii, Q42, Dovetail Games
Find out what your peers are saying about Datadog vs. Google Cloud's operations suite (formerly Stackdriver) and other solutions. Updated: November 2026.
920,769 professionals have used our research since 2012.