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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. AppDynamics vs Datadog vs New Relic

AppDynamics vs Datadog vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
AppDynamics
AppDynamics
Stacks305
Followers629
Votes68
Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861

AppDynamics vs Datadog vs New Relic: What are the differences?

Introduction

This Markdown code provides a comparison of the key differences between AppDynamics, Datadog, and New Relic.

  1. Scalability and Performance Monitoring: AppDynamics offers robust scalability and performance monitoring capabilities, allowing organizations to gain deep insights into their application's performance, bottlenecks, and areas for optimization. Datadog, on the other hand, provides flexible scalability and powerful performance monitoring tools, supporting various environments and technologies. New Relic also offers scalable monitoring solutions, including advanced application performance monitoring, infrastructure monitoring, and synthetic monitoring.

  2. Integration Ecosystem: AppDynamics offers a wide range of integrations with popular tools and technologies, allowing organizations to easily integrate their monitoring data with other systems and improve their overall observability. Datadog provides an extensive ecosystem of integrations, including cloud platforms, databases, messaging systems, and more. New Relic also provides various integrations to extend its monitoring capabilities, such as integrations with cloud providers, databases, and collaboration tools.

  3. Ease of Use and User Interface: AppDynamics provides a user-friendly interface with intuitive dashboards and visualizations, allowing users to easily navigate and understand monitoring data. Datadog offers a comprehensive and easy-to-use interface, enabling users to monitor, troubleshoot, and optimize their applications effortlessly. New Relic provides a clean and intuitive interface with powerful visualization capabilities, making it easy for users to analyze and gain insights from their monitoring data.

  4. Alerting and Incident Management: AppDynamics offers robust alerting capabilities, allowing users to set up proactive alerts based on customizable thresholds, triggers, and conditions. It also provides incident management features to streamline the incident response process and enable effective collaboration. Datadog offers flexible alerting options, including customizable alerts and anomaly detection, and provides incident management tools to streamline incident response workflows. New Relic also offers advanced alerting features, including customizable alert policies and incident response automation, ensuring timely notifications and effective incident management.

  5. Price and Licensing: AppDynamics offers various pricing options and licensing models, including annual subscriptions and perpetual licenses, allowing organizations to choose the most suitable option based on their requirements. Datadog offers flexible pricing plans and licensing options, including pay-as-you-go, annual subscriptions, and enterprise contracts. New Relic also provides flexible pricing plans and licensing models, including pay-as-you-go and annual subscriptions.

  6. Support and Documentation: AppDynamics provides comprehensive support offerings, including technical support, online documentation, knowledge base, and training resources, ensuring users have access to the necessary assistance and guidance. Datadog offers 24/7 technical support, extensive documentation, and a knowledge base, ensuring users receive timely support and have access to self-help resources. New Relic provides robust support options, including technical support, documentation, community forums, and training resources, enabling users to get the help they need effectively.

In summary, AppDynamics, Datadog, and New Relic provide powerful monitoring solutions with distinct differences in terms of scalability, integration ecosystem, user interface, alerting, pricing, and support. Each platform offers unique features and capabilities aimed at meeting the diverse needs of organizations in monitoring their applications and infrastructure.

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Advice on New Relic, AppDynamics, Datadog

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

New Relic
New Relic
AppDynamics
AppDynamics
Datadog
Datadog

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.

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

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!

Performance Data Retention;Real-User Response Time, Throughput, & Breakdown by Layer;App Response Time, Throughput, & Breakdown by Component;App Availability Monitoring, Alerting, and Notification;Automatic Application Topology Mapping;Server Resource and Availability Monitoring;Error Detection, Alerting, & Analysis;JVM Performance Analyzer;Database Call Response Time & Throughput;Performance Data API Access;Code Level Diagnostics, Transaction Tracing, & Stack Trace Details;Slow SQL and SQL Performance Details;Real-User Breakdown by Web Page, Browser, & Geography;Track Individual Key Transactions;Mobile Features- Alerting, Summary Data, Overview Page, Topo Map, HTTP Requests, HTTP Error Summary, HTTP Error Detail, Versions, Carriers, Devices, Geo Map
End User Monitoring;Real-Time Business Transaction Monitoring;Visualize & Manage your Entire Application;Detect Business Impact and Performance Spikes;Isolate Bottlenecks in your Application;Identify Root Cause with Complete Code diagnostics;Kickass for Business: Reports;Kickass for Ops: Dashboards;Kickass for Dev: Agile Comparison
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
Statistics
Stacks
22.7K
Stacks
305
Stacks
9.8K
Followers
8.7K
Followers
629
Followers
8.2K
Votes
1.9K
Votes
68
Votes
861
Pros & Cons
Pros
  • 414
    Easy setup
  • 344
    Really powerful
  • 245
    Awesome visualization
  • 194
    Ease of use
  • 151
    Great ui
Cons
  • 20
    Pricing model doesn't suit microservices
  • 10
    UI isn't great
  • 7
    Visualizations aren't very helpful
  • 7
    Expensive
  • 5
    Hard to understand why things in your app are breaking
Pros
  • 21
    Deep code visibility
  • 13
    Powerful
  • 8
    Real-Time Visibility
  • 7
    Great visualization
  • 6
    Comprehensive Coverage of Programming Languages
Cons
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services
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
Integrations
AppHarbor
AppHarbor
Cloudability
Cloudability
HP Cloud Compute
HP Cloud Compute
cloudControl
cloudControl
Papertrail
Papertrail
Loggly
Loggly
Ducksboard
Ducksboard
Blitz
Blitz
Pivotal Tracker
Pivotal Tracker
Red Hat OpenShift
Red Hat OpenShift
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Amazon EC2
Amazon EC2
RightScale
RightScale
CloudBees
CloudBees
HP Cloud Compute
HP Cloud Compute
Boundary
Boundary
PagerDuty
PagerDuty
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

What are some alternatives to New Relic, AppDynamics, 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.

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

Scout

Scout

Scout APM helps developers quickly pinpoint & resolve performance issues before the customer ever sees them. Spend less time debugging & more time building with a streamlined interface & tracing logic that ties bottlenecks to source code.

LogicMonitor

LogicMonitor

LogicMonitor provides the end-to-end visibility needed to maintain the performance and availability of business applications. It leverages automation and built-in intelligence to monitor today's complex and distributed infrastructures.

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