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New Relic vs Rollbar: What are the differences?
Introduction: In this comparison, we will explore the key differences between New Relic and Rollbar, two popular application performance monitoring (APM) tools. While both platforms serve the same purpose of monitoring and troubleshooting application issues, they differ in various aspects that set them apart. Let's dive into the key differences below.
Pricing Model: New Relic primarily uses a per-host licensing model, which means you pay based on the number of hosts or instances running your application. On the other hand, Rollbar utilizes a different approach by charging based on the number of errors or events captured, providing a more flexible pricing structure that can align with your specific needs and scale more efficiently.
Focus on APM vs. Error Monitoring: New Relic places a strong emphasis on end-to-end application performance monitoring (APM), covering areas like application response times, database performance, and user experience. In contrast, Rollbar is primarily focused on error monitoring and exception tracking, allowing developers to identify and resolve software bugs quickly. Rollbar excels in providing detailed error reports and context, helping developers pinpoint issues without the need for extensive logging or debugging.
Customizability and Integrations: While both platforms offer various integrations with popular programming languages and frameworks, New Relic provides a more comprehensive set of out-of-the-box integrations. In addition, New Relic allows more extensive customization options, giving users the ability to tailor monitoring and alerting to suit their specific requirements. Rollbar, on the other hand, is more streamlined and offers fewer customization options, but focuses on providing a user-friendly and intuitive interface.
Deployment and Scalability: New Relic offers a highly scalable solution suitable for large-scale applications and complex infrastructure setups. It provides robust support for distributed environments, microservices architectures, and cloud deployments. Rollbar, while also capable of handling sizable applications, is generally more suited for smaller to medium-sized projects due to its simplified approach and targeted error monitoring capabilities.
Reporting and Analytics: New Relic provides a wider range of reporting and analytical capabilities, including advanced data visualization, dashboards, and detailed insights into application performance. It offers comprehensive reports and metrics that help teams identify bottlenecks, optimize application performance, and monitor user satisfaction. Rollbar, while still offering essential reporting features, focuses more on error-specific analytics, such as frequency, stack traces, and affected users.
Ease of Implementation: New Relic requires additional setup and instrumentation to fully integrate with your application, although it provides thorough documentation and support throughout the process. Rollbar, on the other hand, boasts a relatively streamlined implementation process, often requiring minimal configuration and setup, making it faster to get started, particularly for smaller projects or teams with limited resources.
In Summary, New Relic and Rollbar differ in their pricing models, with New Relic using per-host licensing and Rollbar offering event-based pricing. New Relic focuses more on end-to-end APM, while Rollbar prioritizes error monitoring. New Relic provides more extensive customizability and integrations, along with stronger scalability and deployment options. New Relic offers a wider range of reporting and analytics capabilities, while Rollbar excels in delivering detailed error reports. Rollbar has a simpler implementation process compared to New Relic, making it quicker to get started for smaller projects or resource-limited teams.
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?
Can't say anything to Sysdig. I clearly prefer Datadog as
- they provide plenty of easy to "switch-on" plugins for various technologies (incl. most of AWS)
- easy to code (python) agent plugins / api for own metrics
- brillant dashboarding / alarms with many customization options
- pricing is OK, there are cheaper options for specific use cases but if you want superior dashboarding / alarms I haven't seen a good competitor (despite your own Prometheus / Grafana / Kibana dog food)
IMHO NewRelic is "promising since years" ;) good ideas but bad integration between their products. Their Dashboard query language is really nice but lacks critical functions like multiple data sets or advanced calculations. Needless to say you get all of that with Datadog.
Need help setting up a monitoring / logging / alarm infrastructure? Send me a message!
Hi Medeti,
you are right. Building based on your stack something with open source is heavy lifting. A lot of people I know start with such a set-up, but quickly run into frustration as they need to dedicated their best people to build a monitoring which is doing the job in a professional way.
As you are microservice focussed and are looking for 'low implementation and maintenance effort', you might want to have a look at INSTANA, which was built with modern tool stacks in mind. https://www.instana.com/apm-for-microservices/
We have a public sand-box available if you just want to have a look at the product once and of course also a free-trial: https://www.instana.com/getting-started-with-apm/
Let me know if you need anything on top.
I have hands on production experience both with New Relic and Datadog. I personally prefer Datadog over NewRelic because of the UI, the Documentation and the overall user/developer experience.
NewRelic however, can do basically the same things as Datadog can, and some of the features like alerting have been present in NewRelic for longer than in Datadog. The cool thing about NewRelic is their last-summer-updated pricing: you no longer pay per host but after data you send towards New Relic. This can be a huge cost saver depending on your particular setup
I'd go for Datadog, but given you have lots of containers I would also make a cost calculation. If the price difference is significant and there's a budget constraint NewRelic might be the better choice.
Coming from a Ruby background, we've been users of New Relic for quite some time. When we adopted Elixir, the New Relic integration was young and missing essential features, so we gave AppSignal a try. It worked for quite some time, we even implemented a :telemetry
reporter for AppSignal . But it was difficult to correlate data in two monitoring solutions, New Relic was undergoing a UI overhaul which made it difficult to use, and AppSignal was missing the flexibility we needed. We had some fans of Datadog, so we gave it a try and it worked out perfectly. Datadog works great with Ruby , Elixir , JavaScript , and has powerful features our engineers love to use (notebooks, dashboards, very flexible alerting). Cherry on top - thanks to the Datadog Terraform provider everything is written as code, allowing us to collaborate on our Datadog setup.
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.
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
Pros of New Relic
- Easy setup415
- Really powerful344
- Awesome visualization245
- Ease of use194
- Great ui151
- Free tier106
- Great tool for insights80
- Heroku Integration66
- Market leader55
- Peace of mind49
- Push notifications21
- Email notifications20
- Heroku Add-on17
- Error Detection and Alerting16
- Multiple language support13
- SQL Analysis11
- Server Resources Monitoring11
- Transaction Tracing9
- Apdex Scores8
- Azure Add-on8
- Analysis of CPU, Disk, Memory, and Network7
- Detailed reports7
- Performance of External Services6
- Error Analysis6
- Application Availability Monitoring and Alerting6
- Application Response Times6
- Most Time Consuming Transactions5
- JVM Performance Analyzer (Java)5
- Browser Transaction Tracing4
- Top Database Operations4
- Easy to use4
- Application Map3
- Weekly Performance Email3
- Pagoda Box integration3
- Custom Dashboards3
- Easy to setup2
- Background Jobs Transaction Analysis2
- App Speed Index2
- Super Expensive1
- Team Collaboration Tools1
- Metric Data Retention1
- Metric Data Resolution1
- Worst Transactions by User Dissatisfaction1
- Real User Monitoring Overview1
- Real User Monitoring Analysis and Breakdown1
- Time Comparisons1
- Access to Performance Data API1
- Incident Detection and Alerting1
- Best of the best, what more can you ask for1
- Best monitoring on the market1
- Rails integration1
- Free1
- Proce0
- Price0
- Exceptions0
- Cost0
Pros of Rollbar
- Consolidates similar errors by impact74
- Centralize error management64
- Slack integration63
- Github integration58
- Usage based pricing47
- Insane customer support32
- Instant search23
- Heroku integration21
- Consolidate errors by OS18
- Great Free Plan15
- Trello integration15
- Flexible logging (not just exceptions)13
- Simple yet powerful error tracking tool11
- Multiple Language Support9
- Consolidate errors by browser7
- Easy setup6
- Query errors with RQL6
- Best rails exception handler5
- Deployment tracking is a nice free bonus5
- Awesome service5
- Simple and fast integration5
- Easy setup, friendly ui, demo, lots of integrations4
- Beat your users to the error report3
- Server-side + client-side3
- Errors Analysis3
- Clear and concise information.3
- Powerful3
- Mailgun integration2
- Easy integration with sails.js2
- Bitbucket integration2
- Clear errors on deploy or push1
- Easy Set up familiar UI that doesn't make you look dumb1
- Teams1
- Gitlab integration1
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Cons of New Relic
- Pricing model doesn't suit microservices20
- UI isn't great10
- Expensive7
- Visualizations aren't very helpful7
- Hard to understand why things in your app are breaking5