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

Cronitor vs Datadog

OverviewDecisionsComparisonAlternatives

Overview

Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
Cronitor
Cronitor
Stacks19
Followers24
Votes3

Cronitor vs Datadog: What are the differences?

Introduction:

In this article, we will compare the key differences between Cronitor and Datadog, two popular tools used for monitoring and alerting systems. Both Cronitor and Datadog offer monitoring solutions, but they have distinct features and capabilities that set them apart. Let's dive into the differences between the two.

  1. Monitoring Features: Cronitor primarily focuses on monitoring scheduled jobs and processes. It allows users to create monitors for tasks like cron jobs, data pipelines, batch processes, and more. On the other hand, Datadog offers a comprehensive monitoring platform that covers a wide range of system components, including infrastructure monitoring, application performance monitoring (APM), log management, and user experience monitoring.

  2. Ease of Setup and Configuration: Cronitor is designed to be simple and easy to set up. It provides a straightforward configuration process where users define a monitor by specifying the schedule and expected behavior. In contrast, Datadog offers a more complex setup process due to its extensive feature set. It requires users to install agents, configure integrations, and define custom metrics and alerts.

  3. Alerting Capabilities: Cronitor focuses on alerting users when scheduled jobs or processes fail to complete within a specified timeframe or violate defined conditions. It provides alert notifications via email, SMS, and webhooks. In comparison, Datadog offers a broader set of alerting capabilities. It supports real-time alerting based on predefined thresholds, anomaly detection, and correlation across different metrics and logs. Additionally, Datadog offers a variety of notification channels, including email, SMS, pager duty, and integrations with chat tools like Slack.

  4. Scaling and Performance: Datadog is designed to handle large-scale monitoring and provides scalability features for managing a high volume of metrics and events. It has an efficient architecture that allows horizontal scaling and provides options for distributed tracing and load balancing. Cronitor, on the other hand, does not offer the same level of scalability and performance optimization features.

  5. Integrations and Ecosystem: Datadog has an extensive ecosystem of integrations with various services and platforms, making it easier to collect and analyze data from different sources. It provides pre-built integrations for popular technologies, such as AWS, Azure, GCP, Kubernetes, and many more. While Cronitor also supports integrations with other systems, its integration options are more limited compared to Datadog.

  6. Pricing and Plans: Cronitor offers a straightforward pricing model based on the number of monitors and the frequency of checks. The pricing plans are relatively affordable for small to medium-sized businesses. On the other hand, Datadog offers more flexible pricing options with different plans tailored to specific needs, including infrastructure monitoring, APM, logging, and more. However, Datadog's pricing tends to be higher, especially for organizations with large-scale monitoring requirements.

In summary, Cronitor provides a focused solution for monitoring scheduled jobs and processes, while Datadog offers a comprehensive monitoring platform covering infrastructure, APM, logs, and user experience. Cronitor is easier to set up and has a simpler pricing model, while Datadog provides more advanced alerting capabilities, scalability options, and a wider range of integrations. Ultimately, the choice between the two depends on the specific monitoring needs and priorities of an organization.

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Advice on Datadog, Cronitor

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
Cronitor
Cronitor

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!

Monitoring systems are often complex and require a strong sysadmin background to properly configure and maintain. Cronitor replaces all this with a simple service that anyone can set up. Receive email/sms notifications if your jobs don't run, run too slow, or finish too quickly.

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
Constant Monitoring - Our monitoring and alerting system is robust, so yours doesn't have to be. Get alerts the minute something goes wrong with your scheduled job. Integrates Anywhere - Tracking is just an http request. Add it to your bash, python, php, java scripts etc.
Statistics
Stacks
9.8K
Stacks
19
Followers
8.2K
Followers
24
Votes
861
Votes
3
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
  • 2
    Quick and helpful support
  • 1
    Simple and direct
Cons
  • 0
    Pricey
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
Slack
Slack
PagerDuty
PagerDuty
HipChat
HipChat

What are some alternatives to Datadog, Cronitor?

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.

PagerDuty

PagerDuty

PagerDuty is an alarm aggregation and dispatching service for system administrators and support teams. It collects alerts from your monitoring tools, gives you an overall view of all of your monitoring alarms, and alerts an on duty engineer if there's a problem.

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.

VictorOps

VictorOps

VictorOps is a real-time incident management platform that combines the power of people and data to embolden DevOps teams so they can handle incidents as they occur and prepare for the next one.

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