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

Google and Mezmo are both solutions in the Log Management category. Google is ranked #31 with an average rating of 8.5, while Mezmo is ranked #53. Google holds a 0.7% mindshare in Log Management, compared to Mezmo’s 0.2% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of Mezmo users who would recommend it.

Google Cloud's operations s...

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

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1,227 Comparison Views

100% willing to recommend

Mezmo

Read 2 Mezmo reviews

435 Views
260 Comparison Views

100% willing to recommend

Google Cloud's operations s...

Mezmo

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Executive SummaryUpdated on Oct 9, 2024

Google Cloud's operations suite and Mezmo compete in cloud monitoring and log management. Google Cloud's operations suite seems to have the upper hand in integration with other Google services, while Mezmo stands out in advanced analytics capabilities.

Features: Google Cloud's operations suite integrates seamlessly with Google services, providing capabilities for real-time monitoring and comprehensive diagnostics. Mezmo is designed with a scalable infrastructure, providing users with deep analytics and tailored insights.

Room for Improvement: Google Cloud's operations suite has been critiqued for limited dashboard customization and managing complexity. Mezmo has a learning curve, making it challenging for some users to master quickly. Additionally, users express a desire for improved efficiency in Google Cloud's dashboard operations and Mezmo's initial setup time.

Ease of Deployment and Customer Service: Google Cloud's operations suite benefits users already acquainted with Google, offering a streamlined deployment. Customer service, while positive, could be more responsive. Mezmo provides comprehensive support and straightforward deployment, though the complexity of the platform might slow down initial setup.

Pricing and ROI: Google Cloud's operations suite is seen as cost-effective when using multiple Google services, providing a significant return on investment. Mezmo's pricing, potentially higher, is offset by advanced capabilities that enable enhanced decision-making, with users often acknowledging its detailed analytics value.

To learn more, read our detailed Google Cloud's operations suite (formerly Stackdriver) vs. Mezmo Report (Updated: January 2025).

Buyer's Guide

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

January 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

25th

Ranking in Log Management

31st

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Monitoring Software (23rd)

Mezmo

Ranking in Application Performance Monitoring (APM) and Observability

78th

Ranking in Log Management

53rd

Average Rating

9.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2025, in the Log Management category, the mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.7%, down from 1.1% compared to the previous year. The mindshare of Mezmo is 0.2%, down from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management

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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Theodore Omtzigt

President and Founder at STILLWATER SUPERCOMPUTING INC

Has vastly increased our ability to reach SLA targets consistently

Scalability could be improved. We are using it through the IBM cloud deployment and on some of the data centers that are very heavily used, there is a significant lag in the event stream, sometimes 10, 15 minutes behind, which makes the RCA impossible. If an event hits but you don't have the information to look at it, then it's tricky. This is probably not an issue of the product itself, but more a deployment issue. There is something on the IBM side that needs some readjustment to make certain these lags don't happen too often. We now use other tools for back-up in that area. But if you really want to do SIEM type work, then that is an aspect that needs some improvement. It's hard to tell if it's the product or the IBM deployment of it. The user interface is really very productive interactively but for an additional feature, it would be nice if we somehow could encapsulate a query or a filter, and communicate or share that among the team so that specific types of actions can be carried out quickly. In particular, when we deal with a customer issue, it may pertain to a particular transaction through the system and each transaction has a unique ID. It would be great if we could query that ID and request all transactions that pertain to a specific ID. For now, we need to find the events, then extract the ID. Once we have that, we can go through the UI to set up the query and filter it to give us a transaction. But it would be really nice if we could simply say, "Here's the ID. Give me all the transactions."

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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

"Google's technical support is very good."

"Offers a valuable logging transport feature"

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

"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."

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

"I like the monitoring feature."

"Provides visibility into the performance uptime."

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

"LogDNA consolidates all logs into one place, which is super valuable."

"The solution aggregates all event streams, so that if there are any issues, it's all in the same interface."

Cons

"The product provides minimal metrics that are insufficient."

"The logging functionality could be better."

"It is difficult to estimate in advance how much something is going to cost."

"It could be more stable."

"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"

"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."

"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."

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

"Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue."

"No ability to encapsulate a query or a filter, and communicate or share that among the team."

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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

15%

Manufacturing Company

Real Estate/Law Firm

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Google Stackdriver?

It's easy to use.

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

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

Compared 29% of the time

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

Compared 22% of the time

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

Compared 6% of the time

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

Compared 5% of the time

Grafana Loki vs Google Cloud's operations suite (formerly Stackdriver)

Compared 5% of the time

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

Datadog vs Mezmo

Compared 58% of the time

Cribl vs Mezmo

Compared 42% of the time

More Mezmo Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

February 2025

Google Cloud's operations suite (formerly Stackdriver) report

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Buyer's Guide

Log Management

January 2025

Download Mezmo product report

Also Known As

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

LogDNA

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

Today’s enterprises must manage a massive amount of machine data. They require a platform that enables engineering teams to deliberately route and store structured and unstructured data for different teams with unique use cases. Legacy platforms weren’t made for this moment.
‍
Mezmo, formerly LogDNA, lets organizations ingest, process, route, analyze, and store all of their log data. Purpose-built for modern engineering teams—including developers, SREs, IT Operations, and Security Engineers—the Mezmo platform is trusted by thousands of companies for SaaS, cloud, and hybrid applications.

Mezmo

Sample Customers

Uber, Batterii, Q42, Dovetail Games

Instacart, Asics, Lime, Salesforce

Buyer's Guide

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

January 2025

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

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