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

Crashlytics vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Crashlytics
Crashlytics
Stacks1.0K
Followers614
Votes340

Crashlytics vs New Relic: What are the differences?

Introduction

In this Markdown code, we will explore the key differences between Crashlytics and New Relic, two popular tools used for monitoring and managing software performance.

  1. Deployment Method: Crashlytics is predominantly a mobile app crash reporting SDK that is primarily used in conjunction with Fabric, a mobile app development platform. On the other hand, New Relic is a comprehensive application performance monitoring solution that supports a wide range of applications and platforms, including both mobile and web applications.

  2. Focus: Crashlytics primarily focuses on capturing crash reports and providing detailed insights into crash events, enabling developers to diagnose and resolve issues efficiently. New Relic, on the other hand, offers a more holistic approach by monitoring and analyzing the overall application performance, including metrics like response times, throughput, errors, and more.

  3. Features: Crashlytics provides detailed crash reports with information like stack traces, affected devices, operating systems, and occurrence frequencies. It also offers real-time alerts for critical crashes. New Relic, on the other hand, offers a wide range of features that go beyond crash reporting, including server monitoring, database monitoring, transaction tracing, code-level visibility, and more.

  4. Integration: Crashlytics seamlessly integrates with the Fabric platform, which provides a suite of development tools. It is primarily targeted towards mobile app developers using programming languages like Swift and Objective-C for iOS, and Java and Kotlin for Android development. New Relic, on the other hand, offers integrations with a wide range of development platforms and programming languages, including mobile, web, and backend technologies.

  5. Pricing Model: Crashlytics, along with its associated tools in the Fabric platform, is available as part of Firebase, Google's comprehensive platform for developing mobile and web applications. Firebase offers a free tier and flexible pricing plans based on usage. New Relic, on the other hand, follows a subscription-based pricing model with different tiers based on the required features and scale of usage.

  6. User Interface and Dashboard: Crashlytics provides a straightforward, streamlined user interface that focuses on crash reporting and analysis. Users can access crash reports, filter and search for specific crashes, view affected devices, and track crash frequencies. New Relic, on the other hand, offers a comprehensive and customizable user interface with a range of dashboards, charts, and graphs that provide insights into various aspects of application performance, including crash reports.

In summary, Crashlytics is a specialized crash reporting tool that is tightly integrated with the Fabric platform and primarily focuses on mobile app crash reporting, while New Relic offers a more comprehensive application monitoring solution with a wider range of features and support for various platforms and languages.

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Advice on New Relic, Crashlytics

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
Crashlytics
Crashlytics

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.

Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful! Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix.

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
Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful!;Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix.;Now you'll get precise information on the performance of the devices that your apps run on. We'll let you know if the crash only happens on a specific model or generation of a device. We'll even tell you other information, like whether your app only crashes in landscape mode, or whether the proximity sensor is always on.;Through our smart reports, we'll provide key insights into your data so you can spend more time fixing and less time triaging.;Going one layer deeper, Crashlytics examines the operating system that your app is running on. We answer questions like: is it crashing only on jailbroken devices? Is this a memory issue? Does this only affect a specific version of iOS? Through our interactive reports, you'll know instantly.;Our cutting edge architecture can handle all the traffic you'll throw at us. For example, suppose a buggy update is released and all your users experience issues across all of their devices. Our system processes every crash in a record-breaking 18 milliseconds so you can take action — immediately.;Each crash we receive gets analyzed by our banks of servers. While pasting a stack trace is the simplest way to get it to you, we wanted to do better. We analyze the entire stack trace, for every crash, and apply carefully-tuned algorithms. Some lines are de-emphasized while others are highlighted, so we can take you straight to the threads and stack-frames that matter.;We've built a layer of intelligent post-processing to alert you to new issues in real-time. We've also built the channels to get that intelligence to you. Whether you're on the Crashlytics dashboard on your iPad, coding on your MacBook with Crashlytics for Mac, watching your third-party issue tracker or even your email inbox, you'll get notified when something important happens.;You're always in control — all notifications are customizable to minimize noise and maximize action.;The Crashlytics SDK uses a multi-step symbolication process to provide progressively higher levels of detail. We start with on-device symbolication. Once a crash report makes it into our system, stack frames are then re-processed against your application's dSYM on our servers. This two-step symbolication process, coupled with our advanced aggregation algorithms, provides the highest information fidelity available.;On average, Crashlytics adds only 40 KB — or the size of a single image — to the weight of your application.;We don't require linking against any additional frameworks or libraries.;When initialized at start-up, Crashlytics performs only the minimal amount of required work and defers the rest until a few seconds after app startup completes. This delay is configurable — we want your app to launch as quickly as possible;Our memory footprint has been carefully tuned to minimize overhead. We guarantee Crashlytics will not impact gameplay, video processing, or any memory-intensive operations you perform.;We care tremendously about the stability of your app and the experience for your users. If for any reason our SDK fails, its defensive design will ensure it has no negative impact.;We use run-time feature detection to ensure compatibility with iOS 4 to iOS 6 and beyond.
Statistics
Stacks
22.7K
Stacks
1.0K
Followers
8.7K
Followers
614
Votes
1.9K
Votes
340
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
  • 78
    Crash tracking
  • 56
    Mobile exception tracking
  • 53
    Free
  • 37
    Easy deployment
  • 25
    Ios
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
Pivotal Tracker
Pivotal Tracker
PagerDuty
PagerDuty
Asana
Asana
HipChat
HipChat
Campfire
Campfire
Trello
Trello
Bitbucket
Bitbucket
Hall
Hall

What are some alternatives to New Relic, Crashlytics?

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!

Instabug

Instabug

Instabug is a platform for Real-Time Contextual Insights that completely takes care of your bug reporting and user feedback process; to accelerate your workflow and allow you to release with confidence.

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.

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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