New Relic vs TraceView | What are the differences? | StackShare

New Relic vs TraceView

Overview

New Relic

Stacks22.7K

Followers8.7K

Votes1.9K

TraceView

Stacks8

Followers17

Votes7

New Relic vs TraceView: What are the differences?

Developers describe New Relic as "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. On the other hand, TraceView is detailed as "Ridiculously Detailed Application Monitoring". Expose everything, from the webserver to database, cache and API calls. The core technology is based on X-Trace, a distributed tracing framework that’s served as the inspiration for companies like Google and Twitter.

New Relic and TraceView belong to "Performance Monitoring" category of the tech stack.

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, TraceView provides the following key features:

Track every machine involved in a transaction and identify bottlenecks in a single click.
Isolate interesting calls and drill down to the line of code and machine it ran on.
Tie together code and infrastructure metrics with database, service, and cache calls, all in the context of a single transaction.

"Easy setup" is the top reason why over 411 developers like New Relic, while over 2 developers mention "The heatmap helped me isolate DB related issues" as the leading cause for choosing TraceView.

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Advice on New Relic, TraceView

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	TraceView
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.	Expose everything, from the webserver to database, cache and API calls. The core technology is based on X-Trace, a distributed tracing framework that’s served as the inspiration for companies like Google and Twitter.
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	Track every machine involved in a transaction and identify bottlenecks in a single click.;Isolate interesting calls and drill down to the line of code and machine it ran on.;Tie together code and infrastructure metrics with database, service, and cache calls, all in the context of a single transaction.;Smart Tracing means you can run in production, with negligible overhead (< 1%).;Understand spikes in the graphs, even if the cause is only a single outlying request.;Visualize request patterns in one place to separate the noisy from the systematic.;Cross-correlate information between multiple sources. Want to find the controller and action that scans entire MongoDB collections? Done, in a single screen.;Zoom-in on trends based on performance - no guessing involved.;From mobile to desktops, understand your customer’s true web application experience from anywhere around the world.;Track server, network, and in-browser latency based on exactly what the user sees, as measured from directly inside your users’ browsers.;Tie end user experiences back to actual server side transactions.
Statistics
Stacks 22.7K	Stacks 8
Followers 8.7K	Followers 17
Votes 1.9K	Votes 7
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 Visualizations aren't very helpful 7 Expensive 5 Hard to understand why things in your app are breaking	Pros 5 The heatmap helped me isolate DB related issues 2 Heatmap helped me find a Tomcat Memcached problem
Integrations
AppHarbor Cloudability HP Cloud Compute cloudControl Papertrail Loggly Ducksboard Blitz Pivotal Tracker Red Hat OpenShift	Heroku

What are some alternatives to New Relic, TraceView?

Datadog

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AppSignal

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AppDynamics

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Stackify

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Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

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Keymetrics

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Dynatrace

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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