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

Google and Stackify are both solutions in the Application Performance Monitoring (APM) and Observability category. Google is ranked #26 with an average rating of 8.0, while Stackify is ranked #62. Google holds a 1.1% mindshare in APM, compared to Stackify’s 0.2% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

Google Cloud's operations s...

Read 10 Google Cloud's operations suite (formerly Stackdriver) reviews

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2,209 Comparison Views

100% willing to recommend

Stackify

Read 6 Stackify reviews

498 Views
351 Comparison Views

71% willing to recommend

Google Cloud's operations s...

Stackify

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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: April 2025).

Buyer's Guide

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

April 2025

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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

26th

Ranking in Log Management

29th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Monitoring Software (23rd)

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

62nd

Ranking in Log Management

63rd

Average Rating

7.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (57th)

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Google Cloud's operations suite (formerly Stackdriver) is 1.1%, down from 1.6% compared to the previous year. The mindshare of Stackify is 0.2%, down from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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 BigQuery 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.

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Moses Arigbede

Head of DevOps at Partsimony

Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure

They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.

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Quotes from Members

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

Pros

"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's technical support is very good."

"Provides visibility into the performance uptime."

"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."

"I like the monitoring feature."

"The cloud login enables us to get our logs from the different platforms that we currently use."

"Offers a valuable logging transport feature"

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

"The solution is stable and reliable."

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

"The deployment is very fast."

"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."

Cons

"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 process of logging analytics can be improved"

"The logging functionality could be better."

"It could be more stable."

"It could be even more automated."

"The product provides minimal metrics that are insufficient."

"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."

"Lacking sufficient operations documentation."

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

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

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

"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."

"The search feature could be improved."

Pricing and Cost Advice

"The cost could be lower."

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

"The cost of using Stackdriver depends on usage."

"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

19%

Computer Software Company

14%

Manufacturing Company

Retailer

Financial Services Firm

20%

Computer Software Company

15%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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

What advice do you have for others considering Google Stackdriver?

The Ops Agent and logging transport feature of the solution have had a major impact on improving application performance. The solution also allows the transport of logs into log buckets, which is h...

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Comparisons

AWS X-Ray vs Google Cloud's operations suite (formerly Stackdriver)

Compared 30% of the time

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

Compared 21% of the time

New Relic vs Google Cloud's operations suite (formerly Stackdriver)

Compared 7% of the time

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

Compared 5% of the time

Prometheus Group vs Google Cloud's operations suite (formerly Stackdriver)

Compared 5% of the time

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

Dynatrace vs Stackify

Compared 43% of the time

New Relic vs Stackify

Compared 40% of the time

Splunk Enterprise Security vs Stackify

Compared 17% of the time

More Stackify Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2025

Google Cloud's operations suite (formerly Stackdriver) report

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Buyer's Guide

Stackify

March 2025

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.

Stackify

Sample Customers

Uber, Batterii, Q42, Dovetail Games

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

Buyer's Guide

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

April 2025

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

Find out what your peers are saying about Google Cloud's operations suite (formerly Stackdriver) vs. Stackify and other solutions. Updated: April 2025.

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