StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Azure Application Insights vs Vector

Azure Application Insights vs Vector

OverviewComparisonAlternatives

Overview

Vector
Vector
Stacks22
Followers53
Votes0
GitHub Stars3.6K
Forks250
Azure Application Insights
Azure Application Insights
Stacks343
Followers288
Votes12

Azure Application Insights vs Vector: What are the differences?

# Introduction
When comparing Azure Application Insights and Vector, there are several key differences that organizations should take into consideration.

# 1. Scalability: 
Azure Application Insights is a powerful application performance monitoring tool offered by Microsoft with built-in scalability to handle large application workloads. On the other hand, Vector provides the flexibility to scale horizontally as needed, allowing users to adjust resources based on their specific requirements.

# 2. Pricing Model:
Azure Application Insights follows a usage-based pricing model, where organizations pay for the data volume ingested and stored in the platform. In contrast, Vector offers a more transparent pricing model with clear pricing tiers based on the features and services required, making it easier for organizations to budget and plan their expenses.

# 3. Data Storage:
Azure Application Insights stores data in the cloud and provides tools for querying and analyzing the stored data directly within the platform. Vector, on the other hand, allows users to choose where their data is stored, whether in the cloud or on-premises, giving organizations more control over their data storage and compliance requirements.

# 4. Customization Options:
Azure Application Insights offers a wide range of out-of-the-box monitoring capabilities and integrations with other Azure services for enhanced functionality. In comparison, Vector provides a more customizable approach, allowing users to define their own data pipelines and processing logic tailored to their specific monitoring needs.

# 5. Data Retention Policies:
Azure Application Insights has predefined data retention policies that may limit the duration for which data is stored, depending on the pricing tier selected. In contrast, Vector allows organizations to define their own data retention policies, giving them the flexibility to retain data for longer periods based on their unique business requirements.

# 6. Open-Source Nature:
Vector is an open-source monitoring tool, offering users the ability to contribute to its development and customize the tool according to their needs. Azure Application Insights, on the other hand, is a proprietary tool developed and maintained by Microsoft, limiting the extent to which users can modify its core functionality.

In Summary, Azure Application Insights and Vector differ in terms of scalability, pricing model, data storage, customization options, data retention policies, and open-source nature.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Vector
Vector
Azure Application Insights
Azure Application Insights

Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.

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
GitHub Stars
3.6K
GitHub Stars
-
GitHub Forks
250
GitHub Forks
-
Stacks
22
Stacks
343
Followers
53
Followers
288
Votes
0
Votes
12
Pros & Cons
No community feedback yet
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

What are some alternatives to Vector, 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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana