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

Datadog vs LogicMonitor vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
LogicMonitor
LogicMonitor
Stacks37
Followers90
Votes20

Datadog vs LogicMonitor vs New Relic: What are the differences?

# Introduction
This markdown provides key differences between Datadog, LogicMonitor, and New Relic, outlining their unique features for use in website content.

1. **Integration Capabilities**: Datadog offers seamless integration with a wide range of third-party tools and applications, allowing for comprehensive data collection and analysis. LogicMonitor provides automation of data collection and monitoring, simplifying the integration process across various systems. New Relic focuses on providing deep insights into application performance, enabling more targeted integrations for optimized results.

2. **Scalability**: Datadog is known for its high scalability, allowing for monitoring of large, complex environments with ease. LogicMonitor offers automatic scaling capabilities to accommodate growing infrastructures without added complexity. New Relic provides scalability features that focus on application performance monitoring, ensuring consistent performance across changing workloads.

3. **Customization Options**: Datadog provides extensive customization options for creating tailored monitoring solutions to meet specific business needs. LogicMonitor offers pre-configured monitoring templates for quick setup, with the option for further customization based on requirements. New Relic emphasizes out-of-the-box monitoring capabilities, with limited customizations to maintain simplicity and ease of use.

4. **Alerting Mechanisms**: Datadog offers flexible alerting mechanisms, allowing users to set up alerts based on various metrics and thresholds for proactive monitoring. LogicMonitor provides customizable alerting rules to notify users of potential issues before they impact operations. New Relic focuses on intelligent alerting features that prioritize critical issues for faster incident resolution.

5. **Historical Data Analysis**: Datadog enables deep historical data analysis with customizable dashboards and visualization tools for in-depth performance tracking and trend analysis. LogicMonitor offers historical data analysis to identify patterns and anomalies, facilitating proactive maintenance and optimization. New Relic provides historical data analysis features focused on application performance trends and insights for informed decision-making.

6. **Cost-effective Solutions**: Datadog offers pricing plans based on usage, making it a cost-effective choice for organizations of all sizes. LogicMonitor provides transparent pricing with scalable options, tailored to the specific needs of businesses. New Relic offers competitive pricing models with a focus on value-based solutions for optimizing performance monitoring investments.

In Summary, this markdown outlines the key differences between Datadog, LogicMonitor, and New Relic, highlighting their unique strengths in integration capabilities, scalability, customization options, alerting mechanisms, historical data analysis, and cost-effective solutions for effective monitoring and performance management.

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Advice on New Relic, Datadog, LogicMonitor

Farzeem Diamond
Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceonDatadogDatadogDynatraceDynatraceAppDynamicsAppDynamics

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

1.59M views1.59M
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
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
Datadog
Datadog
LogicMonitor
LogicMonitor

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.

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!

LogicMonitor provides the end-to-end visibility needed to maintain the performance and availability of business applications. It leverages automation and built-in intelligence to monitor today's complex and distributed infrastructures.

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
14-day Free Trial for an unlimited number of hosts;200+ turn-key integrations for data aggregation;Clean graphs of StatsD and other integrations;Slice and dice graphs and alerts by tags, roles, and more;Easy-to-use search for hosts, metrics, and tags;Alert notifications via e-mail and PagerDuty;Receive alerts on any metric, for a single host or an entire cluster;Full API access in more than 15 languages;Overlay metrics and events across disparate sources;Out-of-the-box and customizable monitoring dashboards;Easy way to compute rates, ratios, averages, or integrals;Sampling intervals of 10 seconds;Mute all alerts with 1 click during upgrades and maintenance;Tools for team collaboration
Full Stack Performance Monitoring;Pre-configured monitoring, with built-in alert thresholds, for 1000+ technologies;Works with any Deployment Model: On-prem, Hybrid, & Hybrid Cloud;Granular Monitoring for AWS;Network Scan & Automated Device Discovery;Alert Routing & Escalation;Alert & Performance Forecasting;Custom Dashboards;Custom Reports;REST API;Syslog, Event, & Batch Job Monitoring;External Website Monitoring;Out-of-the-box Integrations for many Communication & Ticketing Tools;Data Stored for up to 2 years Without Aggregation;Remote Sessions;Configuration Management;Automatic Data Backup & Disaster Recovery;Unlimited Users & Granular RBAC;Ongoing Support & Training;SSO & 2FA
Statistics
Stacks
22.7K
Stacks
9.8K
Stacks
37
Followers
8.7K
Followers
8.2K
Followers
90
Votes
1.9K
Votes
861
Votes
20
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
  • 140
    Monitoring for many apps (databases, web servers, etc)
  • 107
    Easy setup
  • 87
    Powerful ui
  • 84
    Powerful integrations
  • 70
    Great value
Cons
  • 20
    Expensive
  • 4
    No errors exception tracking
  • 2
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated
Pros
  • 5
    Fast deployment
  • 5
    Auto discovery
  • 3
    Very extensible
  • 3
    Agentless
  • 3
    Awesome support
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
NGINX
NGINX
Google App Engine
Google App Engine
Apache HTTP Server
Apache HTTP Server
Java
Java
Docker
Docker
Pingdom
Pingdom
MySQL
MySQL
Ruby
Ruby
Python
Python
Memcached
Memcached
RightScale
RightScale
Puppet Labs
Puppet Labs
Twilio
Twilio
HipChat
HipChat

What are some alternatives to New Relic, Datadog, LogicMonitor?

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

Scout

Scout

Scout APM helps developers quickly pinpoint & resolve performance issues before the customer ever sees them. Spend less time debugging & more time building with a streamlined interface & tracing logic that ties bottlenecks to source code.

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