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

Grafana vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

Grafana vs New Relic: What are the differences?

Grafana and New Relic are both popular tools used for monitoring and visualizing data. Let's explore the key differences between them.

  1. Data Collection and Source Compatibility: Grafana supports a wide range of data sources, including databases, APIs, logs, and more. It can integrate with multiple data sources simultaneously, allowing users to create dashboards using data from different sources. On the other hand, New Relic primarily collects data through agents installed on the target systems and does not have the same flexible compatibility with external data sources.

  2. Alerting Capabilities: Grafana provides a robust alerting system that allows users to set up notifications based on customizable thresholds and conditions. Users can configure alerts to be sent via various channels like email, Slack, PagerDuty, etc. New Relic, on the other hand, has more advanced alerting features with powerful capabilities like anomaly detection, baseline alerting, and dynamic thresholds, offering more advanced and intelligent alerting options.

  3. Built-in Features: Grafana is primarily focused on visualizing data and providing a customizable user interface to create and manage dashboards. It offers various panel types, charting options, and customization capabilities. New Relic, in addition to data visualization, provides additional features out-of-the-box, such as application performance monitoring (APM), distributed tracing, and infrastructure monitoring, making it a comprehensive solution for application monitoring.

  4. Community and Plugins: Grafana has a vibrant open-source community and a rich ecosystem of plugins and extensions, making it highly extensible. Users can leverage community-provided plugins and templates to enhance their dashboards and extend the functionality of Grafana. New Relic, on the other hand, has a more curated marketplace for integrations, plugins, and extensions compared to Grafana's open ecosystem.

  5. Pricing and Licensing: Grafana is an open-source project with a flexible licensing model, making it free to use and suitable for organizations with budget constraints. While Grafana Enterprise offers additional features and support, the base version is available for free. New Relic, however, follows a commercial licensing model, and its pricing is based on the selected plan and the number of monitored entities. The commercial nature of New Relic may not be suitable for organizations seeking a purely open-source monitoring solution.

  6. Ease of Use and Learning Curve: Grafana has a user-friendly interface and is relatively easy to get started with, thanks to its intuitive dashboard building and configuration options. It provides extensive documentation and widely available learning resources, making it accessible for users at various skill levels. New Relic, although offering a comprehensive set of features, can have a steeper learning curve due to its more complex setup and configuration, especially when it comes to advanced features like distributed tracing and APM.

In summary, Grafana offers compatibility with a wide range of data sources, customizable alerting, and a strong community of plugins, while New Relic provides a more comprehensive application monitoring solution with additional features like APM and distributed tracing.

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Advice on New Relic, Grafana

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
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
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

Detailed Comparison

New Relic
New Relic
Grafana
Grafana

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.

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

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
Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
Statistics
GitHub Stars
-
GitHub Stars
70.7K
GitHub Forks
-
GitHub Forks
13.1K
Stacks
22.7K
Stacks
18.4K
Followers
8.7K
Followers
14.6K
Votes
1.9K
Votes
415
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
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
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
Graphite
Graphite
InfluxDB
InfluxDB

What are some alternatives to New Relic, Grafana?

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!

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

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