Overview

New Relic

Stacks21.0K

Followers8.7K

Votes1.9K

LogRocket

Stacks244

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:

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.
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.
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.
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.
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.
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

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

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	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 21.0K	Stacks 244
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 Cloudability HP Cloud Compute cloudControl Papertrail Loggly Ducksboard Blitz Pivotal Tracker Red Hat OpenShift	Jira Sentry Intercom Trello Mixpanel GitHub Segment Bugsnag Rollbar Errorception

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