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

JENNIFER vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
JENNIFER
JENNIFER
Stacks6
Followers6
Votes0

JENNIFER vs New Relic: What are the differences?

Introduction

JENNIFER and New Relic are both performance monitoring tools for applications, but they have key differences in terms of features, pricing, scalability, integration, deployment, and support.

  1. Features: JENNIFER offers extensive real-time monitoring capabilities, including transaction tracing, code-level analysis, and user experience monitoring. It focuses on monitoring Java-based applications and provides deep insights into JVM internals. New Relic, on the other hand, supports a wide range of languages and technologies, but its monitoring capabilities are not as in-depth as JENNIFER's for Java applications.

  2. Pricing: JENNIFER follows a traditional licensing model, where customers purchase a license based on the number of servers or applications they want to monitor. The pricing is often customized based on specific requirements. New Relic, however, follows a subscription-based pricing model, offering various tiers based on the number of users, hosts, and desired features.

  3. Scalability: JENNIFER is known for its scalability, especially when it comes to handling large-scale Java applications with millions of users. It can efficiently handle high transaction volumes and manage data without significant performance degradation. New Relic is also scalable, but it may have limitations when dealing with extremely high traffic or complex applications.

  4. Integration: JENNIFER integrates seamlessly with various Java application servers, databases, and frameworks, making it easy to collect performance data without any code changes. It also provides APIs for custom integrations. New Relic, on the other hand, offers extensive integrations across different languages, platforms, and cloud providers, allowing users to monitor their entire technology stack.

  5. Deployment: JENNIFER can be deployed on-premises or on cloud platforms according to the organization's needs and security requirements. It offers flexibility and control over data storage. New Relic primarily operates as a Software-as-a-Service (SaaS) solution, hosted on their own cloud infrastructure. This can be advantageous in terms of ease of setup and maintenance but may have limitations in data control.

  6. Support: JENNIFER provides personalized support with dedicated account managers, ensuring prompt assistance for any issues or inquiries. They offer comprehensive documentation, training materials, and regular updates. New Relic also provides support, but it may feel less personalized and may rely more on self-service resources like knowledge bases and forums.

In summary, JENNIFER offers in-depth monitoring capabilities, Java-focused insights, customizable pricing, scalability, easy integration, flexible deployment options, and personalized support. New Relic provides broader language support, subscription-based pricing, good scalability, extensive integrations, easy cloud deployment, and self-service support resources.

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Advice on New Relic, JENNIFER

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
JENNIFER
JENNIFER

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.

It is a Real-time performance data visualization solution. It catches abnormal application transaction event like the transactions of bad response time, transaction error/ exception and Bad SQL statement, etc and alerts in real-time.

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 Transaction Monitoring; Real-time Event Alerts; Real-time Data Analytics; Active Service Data Analytics
Statistics
Stacks
22.7K
Stacks
6
Followers
8.7K
Followers
6
Votes
1.9K
Votes
0
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
No community feedback yet
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
Java
Java
.NET
.NET
PHP
PHP

What are some alternatives to New Relic, JENNIFER?

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!

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.

SignalFx

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

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