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

LogRocket vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
LogRocket
LogRocket
Stacks277
Followers278
Votes137

LogRocket vs New Relic: What are the differences?

Comparing LogRocket and New Relic

LogRocket and New Relic are two popular application monitoring tools that help developers and businesses gain deeper insights into their software performance and user experience. While both tools offer similar functionalities, there are key differences that set them apart from each other. Here are six key differences between LogRocket and New Relic:

  1. Logging and session replay capabilities: LogRocket specializes in session replay and provides highly detailed logs of user interactions, enabling developers to identify and reproduce bugs easily. On the other hand, New Relic focuses more on system monitoring and performance metrics, offering limited session replay capabilities, which may not be as detailed as LogRocket.

  2. Integration options: New Relic offers extensive integrations with a wide range of third-party tools and services, allowing users to connect their monitoring data with various other platforms such as Jira, Slack, and AWS. LogRocket, on the other hand, provides a more limited range of integrations and focuses mainly on capturing user interactions within your application.

  3. Pricing structure: LogRocket follows a user-based pricing model, where the cost is determined based on the number of user sessions recorded. New Relic, on the other hand, offers a more diverse pricing structure, including options such as per-host pricing, per-minute pricing, and custom enterprise plans. This makes New Relic more flexible in terms of pricing options.

  4. Real-time monitoring: New Relic excels in real-time monitoring capabilities, providing instant visibility into the health of your application. It offers live dashboards and proactive alerts that help identify and resolve issues quickly. While LogRocket also offers real-time monitoring, its primary focus is on session replay and bug reproduction.

  5. Application performance diagnostics: New Relic offers comprehensive application performance diagnostics, providing detailed insights into the performance of various components within the application stack, including databases, external services, and infrastructure. LogRocket, on the other hand, focuses more on front-end performance, capturing user interactions and providing detailed logs for debugging purposes.

  6. Business intelligence and analytics: New Relic offers advanced business intelligence and analytics capabilities, allowing users to analyze metrics, trends, and user behavior to make data-driven decisions. LogRocket, on the other hand, primarily focuses on capturing and analyzing user interactions, helping developers understand user behavior within the application.

In summary, LogRocket and New Relic both offer valuable application monitoring capabilities, but they differ in their strengths and focus areas. LogRocket specializes in session replay and bug reproduction, while New Relic focuses on system monitoring, real-time monitoring, performance diagnostics, and business intelligence. The choice between the two would depend on the specific needs and priorities of the user or organization.

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Advice on New Relic, LogRocket

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
LogRocket
LogRocket

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.

LogRocket combines session replay, performance monitoring, and product analytics – empowering software teams to create the ideal product experience.

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
Session replay; Inspect actions and state at any point in time; Network activity; Inspect console logs and JavaScript errors
Statistics
Stacks
22.7K
Stacks
277
Followers
8.7K
Followers
278
Votes
1.9K
Votes
137
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
  • 21
    See a video of user using your website
  • 20
    See full user sessions
  • 18
    Detect user frustration
  • 18
    See why users ask for support
  • 18
    Console, network, and error logging
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
Jira
Jira
Sentry
Sentry
Intercom
Intercom
Trello
Trello
Mixpanel
Mixpanel
GitHub
GitHub
Segment
Segment
Bugsnag
Bugsnag
Rollbar
Rollbar
Errorception
Errorception

What are some alternatives to New Relic, LogRocket?

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.

FullStory

FullStory

FullStory’s unmatched analytics engine automatically indexes every digital interaction with your site or app and empowers teams to measure, validate, and act on each experience at scale.

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.

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