Google Cloud&#39;s operations suite (formerly Stackdriver) vs Stackify comparison

Google Cloud's operations s...

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Executive SummaryUpdated on Jul 24, 2024

Stackify and Google Cloud's operations suite are competitive tools in application performance management and monitoring. Google Cloud's operations suite stands out due to its superior features, justifying its higher cost.

Features: Stackify offers affordable error monitoring, log management, seamless integration, and performance visualization. Google Cloud's operations suite provides extensive monitoring capabilities across diverse environments, advanced trace analysis, and broader functionality.

Room for Improvement: Stackify needs more robust alerting options, better documentation, and additional alert customization. Google Cloud's operations suite could improve ease of configuration, streamline dashboards, and simplify setup processes.

Ease of Deployment and Customer Service: Stackify is praised for straightforward deployment and dedicated customer service. Google Cloud's operations suite is more complex to deploy but benefits from comprehensive support resources, extensive documentation, and community support.

Pricing and ROI: Stackify is cost-efficient, particularly for small-to-medium businesses, delivering significant ROI with low setup costs. Google Cloud's operations suite, despite being pricier, delivers high value for extensive enterprise-scale operations, substantial return on investment for advanced capabilities.

To learn more, read our detailed Google Cloud's operations suite (formerly Stackdriver) vs. Stackify Report (Updated: March 2026).

Google Cloud's operations suite (formerly Stackdriver) vs. Stackify

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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 Application Performance Monitoring (APM) and Observability

25th

Ranking in Log Management

24th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Monitoring Software (18th)

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

63rd

Ranking in Log Management

58th

Average Rating

7.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (63rd)

Mindshare comparison

As of March 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.9%, down from 1.2% compared to the previous year. The mindshare of Stackify is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Google Cloud's operations suite (formerly Stackdriver)	0.9%
Stackify	0.6%
Other	98.5%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Anand_Patel

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.

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Idoko Emmanuel

Senior Software Engineer at a tech services company with 1,001-5,000 employees

Has good filtering and rating features and helps with resource and load management

I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into. In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information.

Read full review

Quotes from Members

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

Pros

"Google's technical support is very good."

"I like the monitoring feature."

"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."

"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 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."

"Google Stackdriver is all about activity."

"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."

More Google Cloud's operations suite (formerly Stackdriver) pros

"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."

"The deployment is very fast."

"The solution is stable and reliable."

"The performance dashboard and the accurate level of details are beneficial."

"Within few hours of install we've identify the source of issue we've been investigating for few days and couldn't pin point."

"The solution is stable and reliable."

"It is very simple and very easy to configure."

"What stood out to us were the metrics and granular details we received."

More Stackify pros

Cons

"Lacking sufficient operations documentation."

"The logging functionality could be better."

"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."

"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."

"The product provides minimal metrics that are insufficient."

More Google Cloud's operations suite (formerly Stackdriver) cons

"Another improvement would be the agent memory utilization, which led to our recent reevaluation."

"One thing that happens as a new user on Stackify is when you install the agent it pulls everything and if you're not careful, your log allowance will just be exhausted as you are actually pulling too much data."

"I'm looking to see more performance tools, but heard that they are going to release some."

"I would like to be able to see metrics about individual running containers on the host machines."

"The search feature could be improved."

"It's not easy to set up. It's hard especially for juniors to understand."

"It should be easily scalable and configurable in different instances."

"I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into. In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information."

More Stackify cons

Pricing and Cost Advice

"The cost of using Stackdriver depends on usage."

"The cost could be lower."

"We have a basic standard license without any additional costs."

"The price is variable. It depends on how much data we have received in that particular month. Usually, it goes up to $2,000, or, at times, $3,000 USD per month."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

10%

Manufacturing Company

Comms Service Provider

Construction Company

15%

Comms Service Provider

13%

Media Company

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	2

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...

See all answers

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.

See all answers

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.

See all answers

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Comparisons

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Compared 6% of the time

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Compared 4% of the time

Sentry vs Google Cloud's operations suite (formerly Stackdriver)

Compared 4% of the time

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New Relic vs Stackify

Compared 9% of the time

Splunk Enterprise Security vs Stackify

Compared 6% of the time

DX Spectrum vs Stackify

Compared 5% of the time

Pandora FMS vs Stackify

Compared 5% of the time

Splunk AppDynamics vs Stackify

Compared 5% of the time

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Product Reports

Application Performance Monitoring (APM) and Observability

Download Google Cloud's operations suite (formerly Stackdriver) product report

Google Cloud's operations suite (formerly Stackdriver) report

Download Stackify product report

Also Known As

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

No data available

Overview

Real-time log management and analysis

Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.

Built-in metrics observability at scale

Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.

Stand-alone managed service for running and scaling Prometheus

Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.

Monitor and improve your application's performance

Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.

Google

Stackify is an application performance management (APM) solution that combines application performance monitoring with logs, errors, and reporting. It is a SaaS solution that is developer-focused. Users can quickly scan, identify, and repair issues with applications. Stackify APM offers valuable tools, such as Prefix and Retrace, which help to make it a comprehensive and valuable APM solution. Stackify is now part of the Netreo family of IT Infrastructure Management (ITIM), which is considered one of the fastest-growing IT organizations in the marketplace today.

Stackify Prefix

Stackify Prefix helps developers write better code, faster. The tool examines, tests, and approves code as it is being written. Almost every new application is code-perfect, negating the need for exhausting troubleshooting and frustrating time-consuming code review.

Prefix is able to discover poor-performing SQL queries, ORM queries, potential bottlenecks, and concealed exceptions prior to moving the application into production.

Prefix offers Summary Dashboards, intuitive suggestions, integrated logs, and distributed tracing. Distributed tracing expands visibility to cloud-native applications, microservices, and containers and can also provide additional transparency to cache services, web services, third-party services, and more. Users are able to easily move from logs to traces and back.

This valuable tool ensures developers are able to consistently release the best code possible in the least amount of time, while improving performance, productivity, and profitability.

Prefix is a very robust and easy-to-use tool. It can be used seamlessly with Linux, macOS, and Windows. Prefix integrates well with numerous languages, such as Java, Python, Ruby, PHP, Node.js, .Net, and .Net Core.

Stackify Retrace

Stackify Retrace is a user-friendly, trusted APM solution used in more than fifty countries worldwide. Users know that Retrace is able to ensure they can complete quicker, more efficient application development and consistently enhance overall application performance by suggesting important intuitive suggestions users need.

This solution is beneficial to both developers (Dev) and operations (Ops) personnel to learn to improve code and immediately finetune issues by:

Establishing effortless collaboration between Dev and Ops personnel via an easy-to-use GUI dashboard.
Delivering complete transparency of all stages of the application development process, from pre-development to production.
Utilizing performance protocols, such as error tracking, application logs, and code profiling, in real time in order to thoroughly understand how long a code will take to complete various tasks.
Improving overall efficiency and productivity by immediately discovering and repairing application issues.

Retrace Real User Monitoring (RUM) uses both front-end and back-end monitoring to give users a complete picture of what is going on with the applications. This intuitive dashboard displays performance with a complete breakdown of resource usage and integrates the server-side and client traces into one engaging, user-friendly, extensive view.

Retrace is an out-of-the-box solution that works seamlessly with Java stacks, PHP, Node.js, Ruby, Python, .Net, and .Net Core. It is also compatible with many of today’s popular frameworks, such as AWS, Azure, Elasticsearch, MongoDB, MySQL, Oracle, PostgreSQL, Redis, and SQL Server. Additionally, Retrace will work effectively with many cloud providers, containers, and languages, and offers excellent and easy integration with today's favorite tools such as Jira, Slack, Jenkins, and more.

Sample Customers

Uber, Batterii, Q42, Dovetail Games

MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion

Google Cloud's operations suite (formerly Stackdriver) vs. Stackify