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

Datadog vs LogicMonitor

OverviewDecisionsComparisonAlternatives

Overview

Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
LogicMonitor
LogicMonitor
Stacks37
Followers90
Votes20

Datadog vs LogicMonitor: What are the differences?

Introduction

Datadog and LogicMonitor are both monitoring platforms that provide visibility into the performance and health of an IT infrastructure. While they share similar goals, there are several key differences that set them apart. In this article, we will explore these differences to help you make an informed decision when choosing a monitoring solution for your organization.

  1. Data Collection Flexibility: Datadog offers more flexibility in terms of data collection. It supports a wide range of integrations and provides the ability to collect custom metrics and logs. LogicMonitor, on the other hand, has a more limited set of integrations and focuses primarily on monitoring infrastructure devices such as servers, networking equipment, and storage devices.

  2. Ease of Use: LogicMonitor is known for its simplicity and ease of use. The platform is designed to be intuitive and user-friendly, making it easier for non-technical users to set up and manage. Datadog, on the other hand, has a steeper learning curve and may require more technical expertise to fully utilize its features and capabilities.

  3. Alerting and Notification: Datadog provides more advanced alerting and notification features compared to LogicMonitor. It allows users to create complex alerting rules based on custom metrics, thresholds, and anomaly detection. It also offers more flexibility in terms of notification channels and integrations with third-party tools. LogicMonitor, on the other hand, has a more basic alerting system that may not be as configurable or flexible.

  4. Scalability and Performance: Datadog is known for its scalability and ability to handle large amounts of data. It is designed to handle high volumes of metrics, logs, and traces, making it suitable for large enterprises with complex and distributed environments. LogicMonitor, on the other hand, may not be as scalable and may encounter performance issues when dealing with large-scale deployments.

  5. User Interface and Visualization: Datadog offers a more modern and visually appealing user interface compared to LogicMonitor. It provides rich visualization options, including customizable dashboards, charts, and graphs, making it easier to analyze and interpret data. LogicMonitor, on the other hand, has a more simplistic interface with limited customization options for visualizing data.

  6. API and Automation: Datadog provides a powerful API that allows for automation and integration with other tools and systems. It offers comprehensive documentation and SDKs in multiple programming languages. LogicMonitor also has an API but may not offer the same level of flexibility and capabilities as Datadog.

In Summary, Datadog offers more flexibility in data collection, advanced alerting and notification features, scalability, and a visually appealing user interface compared to LogicMonitor. However, LogicMonitor excels in ease of use, simplicity, and may be a better fit for organizations with simpler monitoring needs.

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Advice on 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

Datadog
Datadog
LogicMonitor
LogicMonitor

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.

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
9.8K
Stacks
37
Followers
8.2K
Followers
90
Votes
861
Votes
20
Pros & Cons
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
    Auto discovery
  • 5
    Fast deployment
  • 3
    Agentless
  • 3
    Awesome support
  • 3
    Very extensible
Integrations
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 Datadog, LogicMonitor?

New Relic

New Relic

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.

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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