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

Dynatrace vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Dynatrace
Dynatrace
Stacks337
Followers348
Votes28

Dynatrace vs New Relic: What are the differences?

Dynatrace and New Relic are both application performance monitoring (APM) tools that provide insights into the performance and availability of software applications. Let's explore the key differences between them.

  1. Deployment Model and Scalability: Dynatrace and New Relic have different deployment models. Dynatrace offers both SaaS and on-premises deployment options, providing flexibility for organizations with different security and compliance requirements. New Relic primarily operates as a SaaS solution. Dynatrace also stands out in terms of scalability, with the ability to handle large enterprise environments and cloud-native architectures.

  2. AI-powered Root Cause Analysis: Dynatrace is known for its AI-powered root cause analysis capabilities. It automatically detects and analyzes anomalies and dependencies across the full stack, providing actionable insights for troubleshooting application performance issues. New Relic also offers various monitoring and analysis features, but it relies more on manual configuration and correlation to identify root causes.

  3. Full-Stack Observability: Dynatrace focuses on providing deep visibility into the entire application stack, including infrastructure, microservices, and application code. It offers comprehensive monitoring capabilities, enabling organizations to understand the relationship between different components and their impact on application performance. New Relic, on the other hand, primarily focuses on application performance monitoring, with less emphasis on infrastructure monitoring.

  4. Ease of Use and Learning Curve: New Relic is often praised for its user-friendly interface and ease of use. It provides intuitive dashboards and a simplified setup process, making it accessible to users with varying levels of technical expertise. Dynatrace, while powerful and feature-rich, may have a steeper learning curve due to its extensive capabilities and detailed insights.

  5. Integration Ecosystem: Dynatrace offers a wide range of out-of-the-box integrations with popular technologies and services, allowing seamless integration with other monitoring tools, collaboration platforms, and DevOps toolchains. New Relic also provides integrations but may have a slightly narrower scope compared to Dynatrace.

  6. Cost and Licensing Model: The cost and licensing models of Dynatrace and New Relic differ. Dynatrace typically offers a subscription-based pricing model, with costs based on the number of monitored entities and the selected deployment option. New Relic, on the other hand, offers a more modular pricing approach, allowing organizations to choose specific features and pay accordingly.

In summary, while both Dynatrace and New Relic are APM tools, Dynatrace stands out with its flexibility in deployment, AI-driven root cause analysis, focus on full-stack observability, and extensive integration ecosystem. New Relic, on the other hand, is known for its user-friendly interface, ease of use, and flexible pricing options. The choice between these tools depends on specific requirements, the complexity of the application stack, and budget considerations.

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Advice on New Relic, Dynatrace

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
Dynatrace
Dynatrace

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.

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.

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
-
Statistics
Stacks
22.7K
Stacks
337
Followers
8.7K
Followers
348
Votes
1.9K
Votes
28
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
    Expensive
  • 7
    Visualizations aren't very helpful
  • 5
    Hard to understand why things in your app are breaking
Pros
  • 4
    Automated RCA
  • 4
    Real User Monitoring
  • 3
    Out-of-the-box distributed transaction tracing
  • 2
    Extensible via SDK
  • 2
    AI-powered platform
Cons
  • 0
    Real User Monitoring
  • 0
    Infrastructure Monitoring
  • 0
    Applications & Microservices
  • 0
    AI-powered platform
  • 0
    Application Security
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
No integrations available

What are some alternatives to New Relic, Dynatrace?

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.

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.

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