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Datadog vs Google Cloud's operations suite (formerly Stackdriver) 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 Application Performance Monitoring (APM) and Observability
1st
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 (4th), IT Infrastructure Monitoring (2nd), Container Monitoring (3rd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Google Cloud's operations s...
Ranking in Application Performance Monitoring (APM) and Observability
25th
Ranking in Log Management
24th
Ranking in Cloud Monitoring Software
15th
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 June 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.6%, down from 9.1% 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 (%)
Datadog4.6%
Google Cloud's operations suite (formerly Stackdriver)0.9%
Other94.5%
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

"Synthetic testing is by far the most valuable feature in our organization."
"It has drastically reduced the amount of time we spend on debugging issues and tracking down the root causes of incidents."
"Our return on investment is great and is so much better than CloudWatch."
"Datadog has a very good visualization for my complete infrastructure and network traffic, which enabled me to create a capacity plan."
"Metric graphing and Dashboards are the most valuable features because they give us good observability into our system and work well to alert us when interesting things happen."
"The pricing model makes more sense than what we paid for against other competitors."
"Each component complements the other, creating a cohesive system where data, logs, and metrics are seamlessly integrated."
"The dashboards and the performance of the software have been great."
"Provides visibility into the performance uptime."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"It has really been helpful in detecting, identifying, and troubleshooting issues with cloud services used in the organization."
"We find the solution to be stable."
"I like the monitoring feature."
"Offers a valuable logging transport feature"
"Google Stackdriver is all about activity."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
 

Cons

"We would really like to see more from the Service Catalog."
"The pricing model seems to escalate quickly with increasing metrics ingestion and monitoring across clouds."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"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."
"I would like testing for data in the future."
"The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments."
"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 documentation leaves a lot to be desired for new users."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"Google Stackdriver is a stable product, but there is some lagging we cannot stop."
"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it."
"It is difficult to estimate in advance how much something is going to cost."
"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."
"The logging functionality could be better."
"It could be more stable."
 

Pricing and Cost Advice

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"Our licensing fees are paid on a monthly basis."
"They prefer monthly subscriptions."
"This solution is budget friendly."
"The price is better than some competing products."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"The tool is open-source."
"The cost of using Stackdriver depends on usage."
"We have a basic standard license without any additional costs."
"The cost could be lower."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
9%
Computer Software Company
9%
Outsourcing Company
6%
Financial Services Firm
12%
Construction Company
10%
Comms Service Provider
8%
Computer Software Company
8%
 

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 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: June 2026.
900,644 professionals have used our research since 2012.