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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
3rd
Ranking in Cloud Monitoring Software
2nd
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Google Cloud's operations s...
Ranking in Application Performance Monitoring (APM) and Observability
23rd
Ranking in Log Management
24th
Ranking in Cloud Monitoring Software
17th
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 January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 5.5%, down from 9.7% compared to the previous year. The mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.9%, down from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Datadog5.5%
Google Cloud's operations suite (formerly Stackdriver)0.9%
Other93.6%
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

"The web app has a real-time support chat window in which a support engineer is chatting with you within a minute."
"Datadog will positively impact my organization by allowing me to handle ticket resolutions at a much faster pace and bring productivity by reducing the number of support engineers required at the monitoring level."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"The tool's deployment is easy."
"Each component complements the other, creating a cohesive system where data, logs, and metrics are seamlessly integrated."
"Watchdog is a favorite feature among a lot of the devs. It catches things they didn't even know were an issue."
"The most valuable aspects of the solution include log search to help triage specific problems that we get notified about (whether by alerts we have configured or users that have contacted us)."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"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."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"We find the solution to be stable."
"It's easy to use."
"I like the monitoring feature."
"Offers a valuable logging transport feature"
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"Google's technical support is very good."
 

Cons

"More granular control over dashboard sharing. Timeboard sharing."
"I love to have some DD guru come in and do a department training directly at our setup."
"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."
"While the tool is robust with many different capabilities, users would greatly benefit from more examples in the documentation."
"I would like better navigability across pages."
"Datadog is expensive."
"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."
"There could be more easily identifiable documentation on how to find different things on the platform."
"It could be more stable."
"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."
"Lacking sufficient operations documentation."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"The product provides minimal metrics that are insufficient."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"The process of logging analytics can be improved"
"It is difficult to estimate in advance how much something is going to cost."
 

Pricing and Cost Advice

"Licensing is based on the retention period of logs and metrics."
"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"The tool is open-source."
"It didn't scale well from the cost perspective. We had a custom package deal."
"While it is an expensive product, I would rate the pricing level at four out of five."
"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."
"The price is better than some competing products."
"The cost is high and this can be justified if the scale of the environment is big."
"The cost could be lower."
"The cost of using Stackdriver depends on usage."
"We have a basic standard license without any additional costs."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
15%
Computer Software Company
12%
University
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise99
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise8
 

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...
What needs improvement with Google Stackdriver?
If the errors are caught early in the interface, it would be easier for users to manage. The process of logging analytics can be improved.
What is your primary use case for Google Stackdriver?
I use the solution for logging, defining alerts, and monitoring. Our company's Java and Python logging teams mainly use it.
 

Also Known As

No data available
Google 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: January 2026.
881,082 professionals have used our research since 2012.