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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Azure Application Insights vs Wavefront

Azure Application Insights vs Wavefront

OverviewComparisonAlternatives

Overview

Wavefront
Wavefront
Stacks35
Followers66
Votes2
Azure Application Insights
Azure Application Insights
Stacks343
Followers288
Votes12

Azure Application Insights vs Wavefront: What are the differences?

Introduction

Azure Application Insights and Wavefront are both monitoring and analytics platforms used by organizations to gain insights into their applications and infrastructure. However, there are key differences between the two that can impact the decision of which one to choose for monitoring needs.

  1. Data Collection Method: Azure Application Insights primarily focuses on collecting data for applications hosted on Azure services, providing deep insights into performance and usage. In contrast, Wavefront is more agnostic in terms of data sources, allowing users to ingest data from various cloud platforms, applications, and infrastructure components. This makes Wavefront a versatile option for organizations utilizing multiple technologies.

  2. Pricing Model: Azure Application Insights is a part of the Azure platform and adopts a pricing model based on the amount of data ingested and features used. On the other hand, Wavefront offers a consumption-based pricing model, where users are charged based on the volume of data analyzed and stored. This can make Wavefront more cost-effective for organizations with fluctuating monitoring needs.

  3. Integration Capabilities: Azure Application Insights seamlessly integrates with other Azure services, allowing users to monitor and analyze data across their entire Azure ecosystem. In comparison, Wavefront offers a wide range of integrations with third-party tools and platforms, enabling users to correlate data from different sources and gain holistic insights into their environment.

  4. Customization and Extensibility: Azure Application Insights provides a set of predefined monitoring capabilities and dashboards that are easy to set up and use out of the box. In contrast, Wavefront offers extensive customization options through its query language and API, allowing users to build tailored monitoring solutions and extract specific insights based on their unique requirements.

  5. Scalability and Performance: Wavefront is designed for high-performance data analytics and can handle massive volumes of data in real-time, making it suitable for organizations with large-scale monitoring needs. On the other hand, Azure Application Insights may have limitations in terms of scalability when dealing with exceptionally high data volumes or complex analytics queries.

  6. Alerting and Notification: Azure Application Insights provides built-in alerting capabilities that allow users to set up notifications based on predefined metrics and thresholds. In comparison, Wavefront offers advanced alerting features, such as anomaly detection and dynamic thresholds, enabling users to create more sophisticated alerting scenarios for proactive monitoring and incident response.

In Summary, Azure Application Insights and Wavefront offer distinct advantages in terms of data collection, pricing, integration, customization, scalability, and alerting/notification capabilities, making them suitable for different monitoring requirements.

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Detailed Comparison

Wavefront
Wavefront
Azure Application Insights
Azure Application Insights

Enterprise-grade cloud monitoring and analytics at over 1 million data points per second. Reduce downtime. Boost performance. Be at the Wavefront.

It is an extensible Application Performance Management service for developers and DevOps professionals. Use it to monitor your live applications. It will automatically detect performance anomalies, and includes powerful analytics tools.

-
Extensible Application Performance Management (APM) service; Monitor your live applications; Automatically detect performance anomalies
Statistics
Stacks
35
Stacks
343
Followers
66
Followers
288
Votes
2
Votes
12
Pros & Cons
Pros
  • 1
    Custom Visualization
  • 1
    Advanced Math
Pros
  • 6
    Focus in detect performance anomalies and issues
  • 3
    Integrated with Azure
  • 1
    User flow
  • 1
    Live Metrics
  • 1
    Availability tests (Heart Beat check)
Cons
  • 2
    Difficult to surface information
  • 1
    UI is clunky and gets in the way
  • 1
    Custom instrumentation via code only
Integrations
Java
Java
Docker
Docker
Python
Python
Amazon EC2
Amazon EC2
Golang
Golang
ZeroMQ
ZeroMQ
Kubernetes
Kubernetes
RabbitMQ
RabbitMQ
Kafka
Kafka
New Relic
New Relic
No integrations available

What are some alternatives to Wavefront, Azure Application Insights?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

AppDynamics

AppDynamics

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

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

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