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

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

"Datadog dashboards are pretty great."
"We can handle debugging and find out why things are breaking in our applications."
"Datadog's visibility and debugging features help me day-to-day; specifically, we had an application that was throwing a bunch of errors causing an issue in our production database, and using Datadog, we were able to immediately isolate the error and plan around it."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"When I reflect on the ways we used to track down issues, I can't imagine how we ever managed before Datadog."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"Datadog has given us near-live visibility across our entire cloud platform."
"Log management is a great way for me to identify changes in behavior across services and environments as we make changes or as user behavior evolves."
"Offers a valuable logging transport feature"
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"It has really been helpful in detecting, identifying, and troubleshooting issues with cloud services used in the organization."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"It's easy to use."
"I like the monitoring feature."
"We find the solution to be stable."
"Google Stackdriver is all about activity."
 

Cons

"It could probably be a little bit of a better user experience."
"We'd like to see more advanced incident management capabilities integrated directly into the platform."
"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. 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. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."
"More granular control over dashboard sharing. Timeboard sharing."
"We need a lot of modules since we collect all data logs from all operating systems."
"There is always room for improvement when dealing with cloud-based technologies."
"In my experience, Datadog is stable, though there's typically at least one or two incidents per week."
"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."
"It could be more stable."
"The logging functionality could be better."
"Lacking sufficient operations documentation."
"Operations documentation could be a bit better. It took us some time to get up and running with it."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"The process of logging analytics can be improved"
"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."
 

Pricing and Cost Advice

"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"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 has a module-based pricing model."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"The cost is high and this can be justified if the scale of the environment is big."
"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."
"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."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"The cost of using Stackdriver depends on usage."
"We have a basic standard license without any additional costs."
"The cost could be lower."
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
900,644 professionals have used our research since 2012.
 

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.