Datadog vs TrackJS

Overview

Datadog

Stacks9.8K

Followers8.2K

Votes861

TrackJS

Stacks3.3K

Followers204

Votes22

Datadog vs TrackJS: What are the differences?

What is Datadog? Unify logs, metrics, and traces from across your distributed infrastructure. 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!.

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.

Datadog and TrackJS are primarily classified as "Performance Monitoring" and "Exception Monitoring" tools respectively.

Some of the features offered by Datadog are:

14-day Free Trial for an unlimited number of hosts
200+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrations

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.

"Monitoring for many apps (databases, web servers, etc)" is the primary reason why developers consider Datadog over the competitors, whereas "Great error reporting" was stated as the key factor in picking TrackJS.

Airbnb, Facebook, and Spotify are some of the popular companies that use Datadog, whereas TrackJS is used by Pandora, Accenture, and ClassPass. Datadog has a broader approval, being mentioned in 540 company stacks & 223 developers stacks; compared to TrackJS, which is listed in 328 company stacks and 29 developer stacks.

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CLI (Node.js)

Manual

Advice on Datadog, TrackJS

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

Datadog	TrackJS
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!	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.
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	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 9.8K	Stacks 3.3K
Followers 8.2K	Followers 204
Votes 861	Votes 22
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 12 Great error reporting 2 Telemetry Timeline 2 Awesome engineer support 2 Easy Setup 2 Great experience. Neat reporting
Integrations
NGINX Google App Engine Apache HTTP Server Java Docker Pingdom MySQL Ruby Python Memcached	Slack

What are some alternatives to Datadog, TrackJS?

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.

Sentry

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

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

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 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

Related Comparisons

Some of the features offered by Datadog are:

14-day Free Trial for an unlimited number of hosts
200+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrations

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.

Datadog vs TrackJS