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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. New Relic vs Sentry vs Splunk Cloud

New Relic vs Sentry vs Splunk Cloud

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Sentry
Sentry
Stacks15.1K
Followers9.4K
Votes864
GitHub Stars42.4K
Forks4.5K
Splunk Cloud
Splunk Cloud
Stacks170
Followers438
Votes15

New Relic vs Sentry vs Splunk Cloud: What are the differences?

Key Differences between New Relic and Sentry:

  1. Monitoring Focus: New Relic primarily focuses on application performance monitoring. It provides highly detailed CPU, memory, and response time metrics, along with code-level visibility. On the other hand, Sentry specializes in error monitoring and provides detailed reports on exceptions, crashes, and errors occurring in the application. Splunk Cloud, on the other hand, is a comprehensive data analytics platform that supports logging, monitoring, and machine learning capabilities.

  2. Alerting Capabilities: New Relic offers sophisticated alerting mechanisms, allowing users to set up custom thresholds and receive alerts via various channels such as email, SMS, or chat integrations. Sentry also provides alerting features, but it primarily focuses on notifying developers about errors via email or integration with issue tracking systems. Splunk Cloud offers robust alerting capabilities, allowing users to define custom alert conditions based on data patterns and receive alerts through various channels.

  3. Deployment Options: New Relic provides both SaaS and on-premises deployment options. This flexibility allows users to choose the deployment method that best meets their requirements. On the other hand, Sentry only offers a cloud-based solution, which simplifies the setup and maintenance process. Splunk Cloud, as the name suggests, is a cloud-based offering, allowing users to leverage the benefits of cloud infrastructure without the need for managing on-premises hardware.

  4. Logging and Tracing: While New Relic focuses primarily on application monitoring, it also offers extensive logging and distributed tracing capabilities. Users can leverage New Relic to collect and analyze logs and trace requests across multiple services. Sentry, on the other hand, specializes in error monitoring and does not provide comprehensive logging or distributed tracing functionalities. Splunk Cloud, being a comprehensive data analytics platform, offers powerful logging and tracing capabilities along with its monitoring features.

  5. Ease of Use: New Relic provides a user-friendly interface and intuitive dashboards that make it easy for users to navigate and analyze performance metrics. Sentry also offers a clean and user-friendly interface, making it easy for developers to diagnose and fix errors. Splunk Cloud, while powerful, may have a steeper learning curve due to its comprehensive feature set and advanced querying capabilities.

  6. Community and Integrations: New Relic has a large and active user community, providing access to a wide range of community-contributed plugins and integrations. It also offers extensive integration options with popular DevOps tools and services. Sentry also has an active community and offers integrations with popular issue tracking systems and collaboration tools. Splunk Cloud, being a widely adopted platform, has a large ecosystem of plugins, integrations, and community support.

In summary, New Relic focuses on performance monitoring, with extensive metrics and code-level visibility, while Sentry specializes in error monitoring. Splunk Cloud, on the other hand, offers a comprehensive data analytics platform with logging, monitoring, and machine learning capabilities. Each tool has its unique strengths and target audience, catering to different monitoring and observability needs.

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Advice on New Relic, Sentry, Splunk Cloud

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
Sentry
Sentry
Splunk Cloud
Splunk Cloud

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

If you're looking for all the benefits of Splunk® Enterprise with all the benefits of software-as-a-service, then look no further. Splunk Cloud is backed by a 100% uptime SLA, scales to over 10TB/day, and offers a highly secure environment.

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
Real-Time Updates: For the first time, developers can fix code-level issues anywhere in the stack well before users even encounter an error.;Complete Context: Spend more time where it matters, rather than investing in low-impact issues.;Integrate Everywhere: Drop-in integration for every major platform, framework, and language -- JavaScript, Python, PHP, Ruby, Node, Java, .NET, mobile.;Root Cause: See the events that lead to errors so you always debug the right thing the first time.;Private & Secure: Sentry is SOC-2 compliant with GDPR, PCI DSS, HIPAA, and Privacy Shield by default.;Open Source: Sentry is 100% open source and available on GitHub.
Splunk Cloud delivers all the features of award-winning Splunk® Enterprise, as a cloud-based service. The platform provides access to various apps and enables centralized visibility across cloud, hybrid and on-premises environments; Instant: Instant trial and instant conversion from POC to production; Secure: Completed SOC2 Type 2 Attestation*. Dedicated cloud environments for each customer; Reliable: 100% uptime SLA. All the features of Splunk Enterprise, including apps, APIs, SDKs. 10TB+/day scalability and up to 10x bursting over licensed data volumes**; Hybrid: Centralized visibility across Splunk Cloud (SaaS) and Splunk Enterprise (software);
Statistics
GitHub Stars
-
GitHub Stars
42.4K
GitHub Stars
-
GitHub Forks
-
GitHub Forks
4.5K
GitHub Forks
-
Stacks
22.7K
Stacks
15.1K
Stacks
170
Followers
8.7K
Followers
9.4K
Followers
438
Votes
1.9K
Votes
864
Votes
15
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
  • 238
    Consolidates similar errors and makes resolution easy
  • 121
    Email Notifications
  • 108
    Open source
  • 84
    Slack integration
  • 71
    Github integration
Cons
  • 12
    Confusing UI
  • 4
    Bundle size
Pros
  • 7
    More powerful & Integrates with on-prem & off-prem
  • 3
    Powerful log analytics
  • 3
    Free
  • 1
    Pci compliance
  • 1
    Production debugger
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
Sprint.ly
Sprint.ly
C#
C#
PagerDuty
PagerDuty
Twilio
Twilio
Auth0
Auth0
Golang
Golang
Datadog
Datadog
Backbone.js
Backbone.js
Django
Django
Swift
Swift
AWS CloudFormation
AWS CloudFormation
AWS CloudTrail
AWS CloudTrail

What are some alternatives to New Relic, Sentry, Splunk Cloud?

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!

Rollbar

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

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

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

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

Airbrake

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

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.

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