Overview

New Relic

Stacks21.0K

Followers8.7K

Votes1.9K

Datadog

Stacks9.6K

Followers8.2K

Votes861

Datadog vs New Relic: What are the differences?

Introduction

In this article, we will discuss the key differences between Datadog and New Relic, two popular monitoring and analytics platforms commonly used in the IT industry.

Pricing Model: One of the main differences between Datadog and New Relic is their pricing model. Datadog offers a flexible pricing structure based on metrics, which allows users to pay only for the data they actually use. On the other hand, New Relic follows a more traditional pricing model based on the number of hosts or containers being monitored. This can be advantageous for smaller businesses that have fewer resources to monitor but can become costly for larger organizations with a complex infrastructure.
Alerting and Notification Mechanisms: When it comes to alerting and notifications, Datadog provides more flexibility and customization options compared to New Relic. Datadog allows users to set up highly configurable alerts with granular conditions and actions. It also offers various integrations with third-party tools, making it easier to send notifications to different endpoints. New Relic, while still offering alerting capabilities, may not have the same level of flexibility and third-party integrations as Datadog.
Monitoring Capabilities: Both Datadog and New Relic offer comprehensive monitoring capabilities, but they excel in different areas. Datadog is known for its strong infrastructure monitoring capabilities, providing deep insights into system performance, metrics, and logs. It also offers extensive support for cloud-based environments, making it a popular choice for DevOps teams. On the other hand, New Relic specializes in application performance monitoring (APM), offering powerful tools for profiling and troubleshooting code-level performance issues.
User Interface and Ease of Use: The user interface and ease of use can be subjective factors, but overall, Datadog is often praised for its intuitive and user-friendly interface. It offers a visually appealing dashboard with drag-and-drop functionality for creating custom views. New Relic, on the other hand, may have a steeper learning curve and a more technical interface. However, some users prefer New Relic's interface for its extensive customization options and advanced features.
Community and Integrations: Datadog has a large and active community, which provides a wealth of resources, plugins, and integrations. It has a marketplace where users can find and share custom integrations with various tools and services. New Relic also has a community and integrations, but it may not have the same level of diversity and active development as Datadog.
Extensibility and Ecosystem: Datadog has built a strong ecosystem by offering a wide range of integrations and partnerships with other technology providers. This allows users to extend the functionality of Datadog and integrate it with their existing tools and workflows. New Relic also offers integrations, but the extensibility and ecosystem may not be as robust as Datadog.

In summary, the key differences between Datadog and New Relic can be summarized as follows: Datadog offers flexible pricing based on metrics, has advanced alerting and notification mechanisms, excels in infrastructure monitoring, and has an intuitive user interface. On the other hand, New Relic follows a traditional pricing model, specializes in application performance monitoring, may have a steeper learning curve, and may not have the same level of extensibility and ecosystem as Datadog.

🔥 Trending in Performance Monitoring on StackShare

DeepFlow Performance Monitoring

Open-source eBPF distributed tracing

Try it View Docs Alternatives

Try

0

2

Advice on New Relic, Datadog

Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceon

Datadog

Dynatrace

AppDynamics

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

Jun 27, 2020

Needs adviceon

Amazon EKS

Kubernetes

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

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	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.	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	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 21.0K	Stacks 9.6K
Followers 8.7K	Followers 8.2K
Votes 1.9K	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 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 Cloudability HP Cloud Compute cloudControl Papertrail Loggly Ducksboard Blitz Pivotal Tracker Red Hat OpenShift	NGINX Google App Engine Apache HTTP Server Java Docker Pingdom MySQL Ruby Python Memcached

What are some alternatives to New Relic, Datadog?

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

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

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

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

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

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 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.