AppDynamics vs Google Analytics

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AppDynamics

304
618
+ 1
68
Google Analytics

125.9K
48.3K
+ 1
5K
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AppDynamics vs Google Analytics: What are the differences?

Key Differences between AppDynamics and Google Analytics

AppDynamics and Google Analytics are both popular tools used for monitoring and analyzing website performance. Here are six key differences between the two:

  1. Data Collection: AppDynamics collects data directly from the application's code using agents, providing detailed insights into the performance of individual transactions and code-level diagnostics. Google Analytics, on the other hand, relies on JavaScript tags to collect data from web pages, focusing more on user behavior and website traffic analysis.

  2. Scope of Monitoring: AppDynamics offers comprehensive monitoring capabilities, including application performance, infrastructure, and database monitoring. It provides end-to-end visibility into the entire application stack. In contrast, Google Analytics primarily focuses on website visitor data, user behavior, and marketing campaign performance by tracking website interactions.

  3. Real-Time Monitoring: AppDynamics offers real-time monitoring, alerting, and diagnostics, allowing stakeholders to quickly respond to performance issues and troubleshoot problems in real-time. Google Analytics, on the other hand, provides near real-time data with a delay of a few hours, limiting its effectiveness for immediate issue resolution.

  4. Customization Options: AppDynamics provides extensive customization options, allowing users to define custom metrics, business transactions, and health rules based on specific application requirements. Google Analytics, on the other hand, focuses more on offering predefined metrics and dimensions, limiting the flexibility of customization for unique business needs.

  5. Deployment Model: AppDynamics offers both on-premises and cloud-based deployment options, providing flexibility for organizations with specific security and compliance requirements. Google Analytics, on the other hand, is a cloud-based solution hosted by Google, limiting deployment options for organizations with strict data governance policies.

  6. Pricing Model: AppDynamics follows a subscription-based pricing model, where the cost is based on the size and complexity of the monitored application. Google Analytics, on the other hand, offers a freemium model, providing basic functionality for free and additional features available through paid plans. This makes Google Analytics more accessible for small to medium-sized businesses with limited budgets.

In summary, AppDynamics focuses on comprehensive application performance monitoring with real-time diagnostics and extensive customization options, while Google Analytics primarily caters to website traffic analysis, user behavior, and marketing campaign performance tracking with a freemium pricing model.

Advice on AppDynamics and Google Analytics
Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.4M views
Needs advice
on
AppDynamicsAppDynamicsDatadogDatadog
and
DynatraceDynatrace

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

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Needs advice
on
AppDynamicsAppDynamicsDynatraceDynatrace
and
Site24x7Site24x7

Hi Folks,

I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?

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Replies (1)
Lucas Rincon
Recommends
on
InstanaInstana

what are the most important things you are looking for the tools to do? each has their strong points... are you looking to monitor new tech like containers, k8s, and microservices?

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Pros of AppDynamics
Pros of Google Analytics
  • 21
    Deep code visibility
  • 13
    Powerful
  • 8
    Real-Time Visibility
  • 7
    Great visualization
  • 6
    Easy Setup
  • 6
    Comprehensive Coverage of Programming Languages
  • 4
    Deep DB Troubleshooting
  • 3
    Excellent Customer Support
  • 1.5K
    Free
  • 926
    Easy setup
  • 890
    Data visualization
  • 698
    Real-time stats
  • 405
    Comprehensive feature set
  • 181
    Goals tracking
  • 154
    Powerful funnel conversion reporting
  • 138
    Customizable reports
  • 83
    Custom events try
  • 53
    Elastic api
  • 14
    Updated regulary
  • 8
    Interactive Documentation
  • 3
    Google play
  • 2
    Industry Standard
  • 2
    Walkman music video playlist
  • 2
    Advanced ecommerce
  • 1
    Medium / Channel data split
  • 1
    Easy to integrate
  • 1
    Financial Management Challenges -2015h
  • 1
    Lifesaver
  • 1
    Irina

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Cons of AppDynamics
Cons of Google Analytics
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services
  • 11
    Confusing UX/UI
  • 8
    Super complex
  • 6
    Very hard to build out funnels
  • 4
    Poor web performance metrics
  • 3
    Very easy to confuse the user of the analytics
  • 2
    Time spent on page isn't accurate out of the box

Sign up to add or upvote consMake informed product decisions

What is AppDynamics?

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

What is Google Analytics?

Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.

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What companies use AppDynamics?
What companies use Google Analytics?
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Blog Posts

Jul 2 2019 at 9:34PM

Segment

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GitHubGitSlack+30
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JavaScriptGitHubPython+42
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