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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.
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.
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 LogRocket
- See a video of user using your website21
- See full user sessions20
- Detect user frustration18
- Console, network, and error logging18
- See why users ask for support18
- Intercom Integration14
- GitHub Integration12
- Fantastic Customer Support12
- Easy setup2
- Developer oriented1
- Redux Integration1
- Redux Integration0
Pros of New Relic
- Easy setup415
- Really powerful344
- Awesome visualization244
- Ease of use194
- Great ui151
- Free tier107
- 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
- Server Resources Monitoring11
- SQL Analysis11
- Transaction Tracing9
- Azure Add-on8
- Apdex Scores8
- Detailed reports7
- Analysis of CPU, Disk, Memory, and Network7
- Application Response Times6
- Performance of External Services6
- Application Availability Monitoring and Alerting6
- Error Analysis6
- JVM Performance Analyzer (Java)5
- Most Time Consuming Transactions5
- Top Database Operations4
- Easy to use4
- Browser Transaction Tracing4
- Application Map3
- Weekly Performance Email3
- Custom Dashboards3
- Pagoda Box integration3
- App Speed Index2
- Easy to setup2
- Background Jobs Transaction Analysis2
- Time Comparisons1
- Access to Performance Data API1
- 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
- Free1
- Best of the best, what more can you ask for1
- Best monitoring on the market1
- Rails integration1
- Incident Detection and Alerting1
- Cost0
- Exceptions0
- Price0
- Proce0
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Cons of LogRocket
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