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

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Executive Summary

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

Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability.
To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: April 2024).
767,847 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
"The most valuable feature is the solutions overall performance. It is very efficient and accurate for our usage.""Enables dynamic injections from within the product which is great."

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"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.""The cloud login enables us to get our logs from the different platforms that we currently use.""We find the solution to be stable.""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.""It's easy to use."

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

Cons
"In the next release, I would like to see the possibility of sharing the metric from this solution with other solutions.""The end-to-end distributor tracing connectivity isn't there."

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"It is difficult to estimate in advance how much something is going to cost.""While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace.""It could be even more automated.""The product provides minimal metrics that are insufficient.""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.""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 →

Pricing and Cost Advice
Information Not Available
  • "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 →

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    Questions from the Community
    Top Answer:Enables dynamic injections from within the product which is great.
    Top Answer:The end-to-end distributor tracing needs some work because the connectivity from the user to the backend wasn't there. Akamai mPulse was not able to deliver on our requirements regarding observation… more »
    Top Answer:The primary use case of mPulse is for real-time user monitoring. Our use case was to observe the entire platform from the user all the way to the backend system and that's what it did. It's all in the… more »
    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 »
    Ranking
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    1,070
    Comparisons
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    Reviews
    1
    Average Words per Review
    457
    Rating
    5.0
    Views
    3,949
    Comparisons
    3,535
    Reviews
    5
    Average Words per Review
    274
    Rating
    7.8
    Comparisons
    Also Known As
    SOASTA mPulse
    Google Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
    Learn More
    Overview

    Akamai mPulse is a real user monitoring (RUM) solution that gives performance engineers, administrators, and developers the ability to effortlessly visualize website functionality issues and identify ways to improve processes that conventional testing protocols do not find. mPulse gives users usable scenarios to better understand how processes such as user interactions, visual progress, and third-party resources may be disrupting the overall user experience and application delivery.

    mPulse enables users to take a deep dive into the specific performance issues and complete comprehensive error analyses, to thoroughly understand the effect on critical user interactions such as conversions, page views, and more.

    mPulse gathers and delivers data on an organization's website’s performance and metrics on user web browsing experiences. The mPulse feature “Boomerang” is a JavaScript Library that monitors the website page load time. Boomerang has a unique plugin architecture and works with all websites. The Boomerang feature is embedded on each page of an organization's website.

    mPulse works seamlessly with Akamai solution Ion, so the RUM data can be instantly gathered once the Luna Control Center has been activated. Ion instantly attaches Boomerang to the organization’s web properties; there is no need to change the website code.

    Akamai mPulse Benefits

    • Third-party monitoring: mPulse enables users to effortlessly monitor and visualize the effect that third-party vendors, resources, and scripts may have on the organization’s web properties.

    • Real-time intuitions: RUM data is continually being gathered, so users are able to instantly experience changes in user performance during every critical event. Users are able to respond immediately and make corrections or amendments as needed. Additionally, mPulse integrates effectively with other third-party notification solutions, such as Slack, PagerDuty, and webhook API support.

    • Framework integrations: mPulse integrates with many of today’s popular single-page application (SPA) frameworks, such as React.js, Backbone.js, Angular.js, Ember.js, and even some custom frameworks. mPulse has the ability to also be seamlessly integrated in Non-SPA websites.

    • Intuitive feedback: mPulse gathers data and creates workable solutions so users have a better understanding of how objects, images, or even entire pages are affecting user behavior. Users can gather numerous metrics (custom or advanced) to achieve a better, more complete understanding of ways to improve the user experience with the application or website.

    • Custom metrics and timers: With mPulse, users can effortlessly create custom timers to discover important performance sessions unique to the application. The mPulse dashboard allows users to set up trackers for numerous metrics, such as:

      • First image load time
      • Sidebar load time
      • Page load times
      • Third-party resource content load time

    • mPulse Beacon API: This valuable benefit allows users to send custom metrics from mobile and web applications to mPulse. This gives mPulse greater flexibility and usability to frameworks and platforms that can make HTTP calls. Representational State Transfer (REST) interface is included and is able to be used by any web application using any language running on the platform. There is also a Beacon API library for JavaScript. This option is available from the dashboard by creating a new application and an API key.

    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.

    Sample Customers
    Nordstrom, Gatwick, DirecTV, MSN, SquareSpace, SAP, Lenovo, Hallmark, myspace, Intuit, Kentucky Derby, Toys "R" Us, Netflix, Newsweek, The Washington Post, Lowe's, Nike, REI, Apple, Sears, Verizon, Wendy's, Huawei
    Uber, Batterii, Q42, Dovetail Games
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company12%
    Retailer10%
    Government7%
    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%
    Company Size
    REVIEWERS
    Small Business14%
    Large Enterprise86%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise14%
    Large Enterprise70%
    Buyer's Guide
    Application Performance Monitoring (APM) and Observability
    April 2024
    Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    Akamai mPulse is ranked 51st in Application Performance Monitoring (APM) and Observability with 6 reviews while Google Cloud's operations suite (formerly Stackdriver) is ranked 24th in Application Performance Monitoring (APM) and Observability with 9 reviews. Akamai mPulse is rated 6.6, while Google Cloud's operations suite (formerly Stackdriver) is rated 7.8. The top reviewer of Akamai mPulse writes "Lacking in regard to observation of the entire platform but does dynamic injections from within". On the other hand, the top reviewer of Google Cloud's operations suite (formerly Stackdriver) writes "Good logging and tracing but does need more profiling capabilities". Akamai mPulse is most compared with New Relic, Dynatrace, Grafana, Datadog and AppDynamics, whereas Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, Amazon CloudWatch and Grafana.

    See our list of best Application Performance Monitoring (APM) and Observability vendors.

    We monitor all Application Performance Monitoring (APM) and Observability 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.