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

New Relic vs TrackJS

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
TrackJS
TrackJS
Stacks3.3K
Followers203
Votes22

New Relic vs TrackJS: What are the differences?

What is New Relic? SaaS Application Performance Management for Ruby, PHP, .Net, Java, Python, and Node.js Apps. New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.

What is TrackJS? JavaScript Error Monitoring for Modern Web Applications. Production error monitoring and reporting for web applications. TrackJS provides deep insights into real user errors. See the user, network, and application events that tell the story of an error so you can actually fix them.

New Relic can be classified as a tool in the "Performance Monitoring" category, while TrackJS is grouped under "Exception Monitoring".

Some of the features offered by New Relic are:

  • Performance Data Retention
  • Real-User Response Time, Throughput, & Breakdown by Layer
  • App Response Time, Throughput, & Breakdown by Component

On the other hand, TrackJS provides the following key features:

  • Telemetry Timeline: More than just an error. The Telemetry Timeline shows the user, network, and console events that preceded an error, like an airplane's BlackBox for your webapp.
  • Realtime Dashboard: Compare the hits and errors for your webapp over time. See if a recent change is causing failures, and where to prioritize debugging.
  • Intelligence Alerting: Get notified when issues important to you are happening, right to your email or chat room.

"Easy setup" is the top reason why over 411 developers like New Relic, while over 12 developers mention "Great error reporting" as the leading cause for choosing TrackJS.

According to the StackShare community, New Relic has a broader approval, being mentioned in 3143 company stacks & 566 developers stacks; compared to TrackJS, which is listed in 328 company stacks and 29 developer stacks.

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Advice on New Relic, TrackJS

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
Attila
Attila

Founder at artkonekt

Mar 24, 2020

Decided

I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.

In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.

The reasons why we chose Datadog over NewRelic were:

  • The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
  • The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
  • The UI of Datadog is more compact and my experience is smoother.
  • The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
  • The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.

Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.

471k views471k
Comments

Detailed Comparison

New Relic
New Relic
TrackJS
TrackJS

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.

Production error monitoring and reporting for web applications. TrackJS provides deep insights into real user errors. See the user, network, and application events that tell the story of an error so you can actually fix them.

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
Telemetry Timeline: More than just an error. The Telemetry Timeline shows the user, network, and console events that preceded an error, like an airplane's BlackBox for your webapp.;Realtime Dashboard: Compare the hits and errors for your webapp over time. See if a recent change is causing failures, and where to prioritize debugging.;Intelligence Alerting: Get notified when issues important to you are happening, right to your email or chat room.;Sourcemaps: Apply a private sourcemap to any stacktrace and see real functionnames and files, along with inline code snippets;Applications: Setup TrackJS on multiple environments or applications for easy comparison;
Statistics
Stacks
22.7K
Stacks
3.3K
Followers
8.7K
Followers
203
Votes
1.9K
Votes
22
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
  • 12
    Great error reporting
  • 2
    Awesome engineer support
  • 2
    Telemetry Timeline
  • 2
    Great experience. Neat reporting
  • 2
    Easy Setup
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
Slack
Slack

What are some alternatives to New Relic, TrackJS?

Sentry

Sentry

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

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!

Rollbar

Rollbar

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

Bugsnag

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

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.

Opbeat

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Airbrake

Airbrake

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

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

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