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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Datadog vs Instrumental vs Vector

Datadog vs Instrumental vs Vector

OverviewComparisonAlternatives

Overview

Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
Instrumental
Instrumental
Stacks16
Followers15
Votes7
Vector
Vector
Stacks22
Followers53
Votes0
GitHub Stars3.6K
Forks250

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Detailed Comparison

Datadog
Datadog
Instrumental
Instrumental
Vector
Vector

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!

Instrumental is a real-time application and server monitoring platform. With over a million datapoints processed every second, we're one of the highest scale monitoring services.

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.

14-day Free Trial for an unlimited number of hosts;200+ turn-key integrations for data aggregation;Clean graphs of StatsD and other integrations;Slice and dice graphs and alerts by tags, roles, and more;Easy-to-use search for hosts, metrics, and tags;Alert notifications via e-mail and PagerDuty;Receive alerts on any metric, for a single host or an entire cluster;Full API access in more than 15 languages;Overlay metrics and events across disparate sources;Out-of-the-box and customizable monitoring dashboards;Easy way to compute rates, ratios, averages, or integrals;Sampling intervals of 10 seconds;Mute all alerts with 1 click during upgrades and maintenance;Tools for team collaboration
Application monitoring - we accept any volume of arbitrary data, making it easy to set up graphs to measure the performance of your application in real time; Server monitoring - Ruby apps can use our instrumental tools gem to monitor information like CPU statistics, memory usage, disk space, and all the other things you'll need to monitor your servers. Language support - Ruby is supported using a custom library, and all other languages are supported with our Statsd backend; RESTful API - upon authentication, data is collected and returned in strict JSON format; Powerful query language - easily retrieve and graph a set of metrics matching a particular pattern; Highly scalable - Instrumental processes billions of data points per day; Built for teams - add team members, manage roles and permissions, and easily share graphs; Alerts - you can be notified via email, text message or at an http endpoint you control; Embedded graphs - create a graph and use it outside of the service with an embedded link;
-
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
3.6K
GitHub Forks
-
GitHub Forks
-
GitHub Forks
250
Stacks
9.8K
Stacks
16
Stacks
22
Followers
8.2K
Followers
15
Followers
53
Votes
861
Votes
7
Votes
0
Pros & Cons
Pros
  • 140
    Monitoring for many apps (databases, web servers, etc)
  • 107
    Easy setup
  • 87
    Powerful ui
  • 84
    Powerful integrations
  • 70
    Great value
Cons
  • 20
    Expensive
  • 4
    No errors exception tracking
  • 2
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated
Pros
  • 3
    Best, fastest, and easiest-to-use Interface
  • 2
    Simple, powerful, reasonably priced
  • 1
    Custom metrics done right
  • 1
    Offers free metrics
No community feedback yet
Integrations
NGINX
NGINX
Google App Engine
Google App Engine
Apache HTTP Server
Apache HTTP Server
Java
Java
Docker
Docker
Pingdom
Pingdom
MySQL
MySQL
Ruby
Ruby
Python
Python
Memcached
Memcached
No integrations availableNo integrations available

What are some alternatives to Datadog, Instrumental, Vector?

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.

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.

SignalFx

SignalFx

We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data

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