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

Kibana vs New Relic vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Kibana vs New Relic vs Prometheus: What are the differences?

Key Differences between Kibana, New Relic, and Prometheus

Kibana, New Relic, and Prometheus are popular monitoring tools used in the industry. Here, we outline the key differences among these tools.

  1. Data Sources: Kibana primarily works with Elasticsearch, a distributed search and analytics engine. It provides visualization and exploration capabilities for data stored in Elasticsearch. On the other hand, New Relic can monitor a wide range of technology stacks, including applications, infrastructure, and user experience, by collecting and analyzing data from various sources. Prometheus, an open-source monitoring system, focuses on monitoring containers and microservices architectures, collecting metrics from instrumented applications and systems.

  2. Monitoring and Alerting: Kibana offers monitoring and alerting features through the Elastic Stack and X-Pack. It allows users to create visualizations, dashboards, and email reports based on predefined rules. New Relic comes with built-in monitoring and alerting capabilities, providing real-time performance monitoring, problem identification, and notification features. Prometheus, being a time series-based monitoring system, offers powerful alerting functionality based on configurable rules and alerts notifications via various channels.

  3. Data Visualization: Kibana, as a part of the Elastic Stack, focuses heavily on data visualization and exploration. It provides a wide range of visualizations like line charts, bar charts, maps, and tables to analyze and present data in a comprehensive manner. New Relic also offers robust visualization capabilities, with pre-built charts and customizable dashboards to display real-time data and performance metrics. Prometheus, although it includes a basic console dashboard, primarily relies on Grafana for advanced and flexible visualization.

  4. Scalability and Flexibility: Kibana, being integrated with Elasticsearch, is highly scalable and flexible, capable of handling large amounts of data. It also supports various data ingestion options, allowing users to integrate data from different sources. New Relic provides a scalable monitoring solution that can handle diverse technology stacks and supports integrations with various platforms. Prometheus, designed for monitoring dynamic container environments, provides horizontal scalability by applying a federated approach and supports automatic service discovery.

  5. Community and Ecosystem: Kibana, as a part of the Elastic Stack, enjoys a strong community support and a rich ecosystem. It offers a wide range of plugins and integrations to enhance its functionality. New Relic has an active community and a comprehensive ecosystem of plugins and integrations, making it compatible with multiple frameworks and environments. Prometheus, being an open-source project, has a growing community and ecosystem. It provides numerous exporters and libraries, facilitating integration with different systems.

  6. Pricing Model: Kibana, along with Elasticsearch, offers open-source and subscription-based licensing options, allowing users to choose the appropriate plan based on their requirements. New Relic follows a subscription-based pricing model, charging based on the features and services required. Prometheus, being an open-source project, is free to use, making it a cost-effective option for organizations.

In summary, Kibana is primarily designed for data visualization and works seamlessly with Elasticsearch, while New Relic provides comprehensive monitoring capabilities for various technology stacks. Prometheus focuses on monitoring containerized environments and has a federated approach to scalability. Each tool has its own strengths and can be selected based on specific monitoring and data analysis requirements.

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Advice on New Relic, Kibana, Prometheus

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
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

Detailed Comparison

New Relic
New Relic
Kibana
Kibana
Prometheus
Prometheus

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.

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 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.

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
Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
-
GitHub Stars
20.8K
GitHub Stars
61.1K
GitHub Forks
-
GitHub Forks
8.5K
GitHub Forks
9.9K
Stacks
22.7K
Stacks
20.6K
Stacks
4.8K
Followers
8.7K
Followers
16.4K
Followers
3.8K
Votes
1.9K
Votes
262
Votes
239
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
Pros
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
Cons
  • 7
    Unintuituve
  • 4
    Elasticsearch is huge
  • 4
    Works on top of elastic only
  • 3
    Hardweight UI
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Bad UI
  • 6
    Needs monitoring to access metrics endpoints
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
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
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats
Grafana
Grafana

What are some alternatives to New Relic, Kibana, Prometheus?

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!

Grafana

Grafana

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.

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.

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

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