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Google Cloud's operations suite (formerly Stackdriver) vs Logz.io comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024

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

Google Cloud's operations s...
Ranking in Log Management
24th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
10
Ranking in other categories
Application Performance Monitoring (APM) and Observability (23rd), Cloud Monitoring Software (17th)
Logz.io
Ranking in Log Management
37th
Average Rating
8.2
Reviews Sentiment
5.0
Number of Reviews
8
Ranking in other categories
Security Information and Event Management (SIEM) (46th)
 

Mindshare comparison

As of January 2026, in the Log Management category, the mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.7%, up from 0.7% compared to the previous year. The mindshare of Logz.io is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
Google Cloud's operations suite (formerly Stackdriver)0.7%
Logz.io0.7%
Other98.6%
Log Management
 

Featured Reviews

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.
Derrick Brockel - PeerSpot reviewer
Senior Manager of Operations at a comms service provider with 10,001+ employees
The solution is a consistent logging platform that provides excellent query mechanisms
We can query a lot of data points and build dashboards. The vendor is good at adjusting their models. Most companies want us to forecast our yearly use and pay it upfront on day one. With Logz.io, we commit to use 14 TB in a year. However, they measure us every month and give us a monthly bill. Depending on our monthly usage, we pay for 14 TB divided by 12 months or a little extra. It's a little bit more like AWS. Other solutions do not do it. They want their money upfront. We really like the dashboards. We have 36 sub-accounts. Each sub-account is an app, and we could put restrictions on that app. Previously, there were capacity restrictions on the sub-accounts. If we have a sub-account of 1 TB and use only 100 GB, we waste 900 GB that day. We could not share it between sub-accounts. Now, they provide an overhead volume. We do a reserve, and any sub-account could use anything over the reserve. It utilizes our footprint better.

Quotes from Members

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

Pros

"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."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"I like the monitoring feature."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"We find the solution to be stable."
"It's easy to use."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"We use the tool to track the dev and production environment."
"The visualizations in Kibana are the most valuable feature. It's much more convenient to have a visualization of logs. We can see status really clearly and very fast, with just a couple of clicks."
"InsightOne is the main reason why we use LogMeIn. This is mostly because of log data that we are pushing tools and logs in general."
"It is massively useful and great for testing. We can just go, find logs, and attach them easily. It has a very quick lookup. Whereas, before we would have to go, dig around, and find the server that the logs were connected to, then go to the server, download the log, and attach it. Now, we can just go straight to this solution, type in the log ID and server ID, and obtain the information that we want."
"We use the product for log collection and monitoring."
"The other nice thing about Logz.io is their team. When it comes to onboarding, their support is incredibly proactive. They bring the brand experience from a customer services perspective because their team is always there to help you refine filters and tweak dashboards. That is really a useful thing to have. Their engagement is really supportive."
"The query mechanism for response codes and application health is valuable."
"The tool is simple to setup where it is just plug and play. The tool is reliable and we never had any performance issues."
 

Cons

"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."
"It could be even more automated."
"Lacking sufficient operations documentation."
"It is difficult to estimate in advance how much something is going to cost."
"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."
"The logging functionality could be better."
"The solution needs to improve its data retention. It should be greater than seven days. The product needs to improve its documentation as well."
"The product needs improvement from a filtering perspective."
"When it comes to reducing our troubleshooting time, it depends. When there are no bugs in Logz.io, it reduces troubleshooting by 5 to 10 percent. When there are bugs, it increases our troubleshooting time by 200 percent or more."
"Capacity planning could be a little bit of a struggle."
"I would like them to improve how they manage releases. Some of our integrations integrate specifically with set versions. Logz.io occasionally releases an update that might break that integration. On one occasion, we found out a little bit too late, then we had to roll it back."
"I would like granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two."
"The price can be cheaper and they should have better monitoring."
"The solution needs to expand its access control and make it accessible through API."
 

Pricing and Cost Advice

"The cost of using Stackdriver depends on usage."
"We have a basic standard license without any additional costs."
"The cost could be lower."
"The tool is an open source product."
"At the time it was set up, we thought Logz.io was very reasonable for what we were getting in terms of how much time and hosting costs it was saving us, because you don't have to run the servers for it anymore."
"You pay for what you need, and that is a good model. They are also quite happy to talk to you about your uses and your use case. They will even go as far as suggesting things that you don't need to do in order to save you money. At one point, I was quite surprised at how cheap it could be if we wanted it to be or how much they would help us manage our costs."
"The product is a little expensive."
"The product's pricing is cheaper than other solutions."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
University
8%
Comms Service Provider
8%
Computer Software Company
13%
Comms Service Provider
11%
Manufacturing Company
11%
Financial Services Firm
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise8
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise7
 

Questions from the Community

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.
Ask a question
Earn 20 points
 

Also Known As

Google Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
Logz
 

Overview

 

Sample Customers

Uber, Batterii, Q42, Dovetail Games
Dish Network, The Economist, Forbes, Holler, Kenshoo, OneSpan, Siemens, Sisense, Unity, ZipRecruiter
Find out what your peers are saying about Google Cloud's operations suite (formerly Stackdriver) vs. Logz.io and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.