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

Catchpoint RUM vs Datadog

OverviewDecisionsComparisonAlternatives

Overview

Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
Catchpoint RUM
Catchpoint RUM
Stacks3
Followers5
Votes0

Catchpoint RUM vs Datadog: What are the differences?

  1. Deployment Options: Catchpoint RUM can be deployed with JavaScript injection on the client-side, allowing for real user monitoring across different browsers and devices. On the other hand, Datadog relies on a JavaScript agent that is installed on the website's server-side, limiting its monitoring capabilities to server-side requests and excluding client-side monitoring.
  2. Granularity of Metrics: Catchpoint RUM provides granular metrics and RUM data at the object level, enabling detailed analysis of individual resources loaded on a webpage. In contrast, Datadog provides more aggregated metrics at the page level, lacking the ability to dive deep into specific resources and their performance.
  3. User Experience Monitoring: Catchpoint RUM offers extensive user experience monitoring capabilities, including the ability to measure performance from the end user's perspective by monitoring metrics such as DNS resolution time, connection time, time to first-byte, and page load time. Datadog, on the other hand, focuses more on server-side monitoring and lacks some of the user-centric metrics and monitoring capabilities.
  4. Synthetic Testing Integration: Catchpoint RUM and synthetic monitoring tools can be integrated seamlessly, allowing for comprehensive monitoring and analysis of both real user data and synthetic test results. Datadog, however, does not offer direct integration between its RUM and synthetic testing capabilities, making it harder to correlate data and perform unified analysis.
  5. Data Retention and Storage: Catchpoint RUM provides long-term data retention capabilities, allowing users to access and analyze historical data for extended periods. Datadog has limitations on data retention based on pricing tiers, potentially restricting the ability to perform in-depth historical analysis for long periods.
  6. Alerting and Notification System: Catchpoint RUM offers a robust alerting and notification system that allows users to create custom rules and thresholds for proactive monitoring. Datadog also provides alerting capabilities, but it may not offer the same level of flexibility and customization as Catchpoint RUM's alerting system.

In summary, Catchpoint RUM offers more flexible deployment options, provides granular object-level metrics, focuses on user experience monitoring, integrates well with synthetic testing, offers longer data retention, and has a robust alerting system compared to Datadog.

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Advice on Datadog, Catchpoint RUM

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
Catchpoint RUM
Catchpoint RUM

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!

Catchpoint's digital experience monitoring platform pinpoints performance and availability problems end users experience anywhere in the world, so you can confidently fix issues faster than ever.

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
-
Statistics
Stacks
9.8K
Stacks
3
Followers
8.2K
Followers
5
Votes
861
Votes
0
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
No community feedback yet
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
No integrations available

What are some alternatives to Datadog, Catchpoint RUM?

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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