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

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Google Cloud's operations suite (formerly Stackdriver) and Mezmo based on real PeerSpot user reviews.

Find out what your peers are saying about Splunk, Datadog, Wazuh and others in Log Management.
To learn more, read our detailed Log Management Report (Updated: April 2024).
767,319 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We find the solution to be stable.""It's easy to use.""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.""The cloud login enables us to get our logs from the different platforms that we currently use.""I like the monitoring feature.""Google's technical support is very good.""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."

More Mezmo Pros →

Cons
"The logging functionality could be better.""While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace.""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.""Lacking sufficient operations documentation.""It could be more stable.""It is difficult to estimate in advance how much something is going to cost.""It could be even more automated."

More Google Cloud's operations suite (formerly Stackdriver) Cons →

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

More Mezmo 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."
  • More Google Cloud's operations suite (formerly Stackdriver) Pricing and Cost Advice →

    Information Not Available
    report
    Use our free recommendation engine to learn which Log Management solutions are best for your needs.
    767,319 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:It could be even more automated. For instance, the moment you deploy something, the monitoring can be there for everything. You will just have to launch or click the console in the morning, and then… more »
    Ask a question

    Earn 20 points

    Ranking
    27th
    out of 95 in Log Management
    Views
    2,218
    Comparisons
    1,979
    Reviews
    5
    Average Words per Review
    274
    Rating
    7.8
    51st
    out of 95 in Log Management
    Views
    562
    Comparisons
    375
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Google Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
    LogDNA
    Learn More
    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.

    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.

    Sample Customers
    Uber, Batterii, Q42, Dovetail Games
    Instacart, Asics, Lime, Salesforce
    Top Industries
    REVIEWERS
    Comms Service Provider29%
    Financial Services Firm29%
    Energy/Utilities Company14%
    Manufacturing Company14%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company16%
    Manufacturing Company8%
    Comms Service Provider7%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Real Estate/Law Firm14%
    Computer Software Company12%
    Transportation Company8%
    Company Size
    REVIEWERS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise14%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise16%
    Large Enterprise59%
    Buyer's Guide
    Log Management
    April 2024
    Find out what your peers are saying about Splunk, Datadog, Wazuh and others in Log Management. Updated: April 2024.
    767,319 professionals have used our research since 2012.

    Google Cloud's operations suite (formerly Stackdriver) is ranked 27th in Log Management with 9 reviews while Mezmo is ranked 51st in Log Management. Google Cloud's operations suite (formerly Stackdriver) is rated 7.8, while Mezmo is rated 9.0. The top reviewer of Google Cloud's operations suite (formerly Stackdriver) writes "Good logging and tracing but does need more profiling capabilities". On the other hand, the top reviewer of Mezmo writes "Has vastly increased our ability to reach SLA targets consistently". Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, Grafana and Amazon CloudWatch, whereas Mezmo is most compared with Datadog and Cribl Stream.

    See our list of best Log Management vendors.

    We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.