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. Datadog vs OpsGenie

Datadog vs OpsGenie

OverviewDecisionsComparisonAlternatives

Overview

Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
OpsGenie
OpsGenie
Stacks291
Followers245
Votes27

Datadog vs OpsGenie: What are the differences?

Key Differences between Datadog and OpsGenie

  1. Monitoring Capabilities: Datadog provides comprehensive monitoring solutions for infrastructure, applications, and logs. It allows users to collect and analyze metrics, traces, and logs in real time through a unified platform. On the other hand, OpsGenie focuses more on incident management and alerting, providing robust tools for tracking and resolving incidents promptly.

  2. Notification Channels: Datadog offers various channels for receiving notifications, including email, SMS, and chat platforms like Slack, HipChat, and PagerDuty. OpsGenie, on the other hand, supports not only email and SMS but also voice calls and mobile push notifications, allowing teams to receive alerts through different mediums based on their preferences.

  3. Integration Ecosystem: Datadog offers a wide range of integrations with popular infrastructure and application services such as AWS, Azure, Docker, Kubernetes, and more. It allows users to seamlessly collect and monitor data from these services. While OpsGenie also provides integrations with many tools, it primarily focuses on linking with incident management systems like Jira, ServiceNow, and ITSM platforms.

  4. Collaboration and Escalation: Datadog offers collaboration features that promote teamwork and streamline incident resolution. It enables users to annotate and share dashboards, collaborate on specific issues, and automate workflows using its built-in integrations. OpsGenie, however, puts a stronger emphasis on escalation policies and on-call schedules, allowing teams to define and customize how alerts are routed and escalated across members based on predefined rules.

  5. Root Cause Analysis: Datadog provides powerful tracing and log management features that facilitate root cause analysis. It allows users to correlate metrics, logs, and traces to identify the exact cause of issues and troubleshoot effectively. While OpsGenie focuses more on the incident response and resolution process, it does not provide in-depth analysis capabilities as offered by Datadog.

  6. Pricing Model: Datadog follows a pricing model based on the volume of data ingested and the number of monitored hosts. It offers different plans catered to different needs. In contrast, OpsGenie adopts a user-based pricing model, which allows unlimited use of alerting and incident management features but charges based on the number of users accessing the system.

In summary, Datadog offers a broader range of monitoring capabilities, extensive integrations, and advanced analytics for root cause analysis. On the other hand, OpsGenie specializes in incident management, collaboration, and notification workflows with a focus on integrating with incident management systems.

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

Advice on Datadog, OpsGenie

Farzeem Diamond
Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceonDatadogDatadogDynatraceDynatraceAppDynamicsAppDynamics

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!

1.59M views1.59M
Comments
Medeti
Medeti

Jun 27, 2020

Needs adviceonAmazon EKSAmazon EKSKubernetesKubernetesAWS Elastic Load Balancing (ELB)AWS Elastic Load Balancing (ELB)

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

1.51M views1.51M
Comments
Benoit
Benoit

Principal Engineer at Sqreen

Sep 17, 2019

Decided

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

457k views457k
Comments

Detailed Comparison

Datadog
Datadog
OpsGenie
OpsGenie

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!

OpsGenie is a cloud-based service for dev & ops teams, providing reliable alerts, on-call schedule management, and escalations. OpsGenie integrates with monitoring tools & services and ensures that the right people are at the right time.

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
Forward IT alerts to OpsGenie; Get notified via email, SMS, mobile push and phone calls; View alerts using mobile apps; Respond to alerts directly from OpsGenie apps
Statistics
Stacks
9.8K
Stacks
291
Followers
8.2K
Followers
245
Votes
861
Votes
27
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
  • 8
    Two-way slack integration
  • 5
    Solid scheduling and team management support
  • 4
    Strong API
  • 3
    Strong, easy, fast, fits
  • 3
    Two-way nagios integration
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
Amazon SNS
Amazon SNS
Sumo Logic
Sumo Logic
AWS Lambda
AWS Lambda
Scout
Scout
Nagios
Nagios
Travis CI
Travis CI
New Relic
New Relic
HipChat
HipChat
GitHub
GitHub
Airbrake
Airbrake

What are some alternatives to Datadog, OpsGenie?

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.

PagerDuty

PagerDuty

PagerDuty is an alarm aggregation and dispatching service for system administrators and support teams. It collects alerts from your monitoring tools, gives you an overall view of all of your monitoring alarms, and alerts an on duty engineer if there's a problem.

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.

VictorOps

VictorOps

VictorOps is a real-time incident management platform that combines the power of people and data to embolden DevOps teams so they can handle incidents as they occur and prepare for the next one.

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