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

Catchpoint Synthetics vs Datadog vs New Relic

OverviewComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
Catchpoint Synthetics
Catchpoint Synthetics
Stacks5
Followers6
Votes0

Catchpoint Synthetics vs Datadog vs New Relic: What are the differences?

Introduction

In the competitive landscape of website monitoring tools, it is crucial to understand the key differences between Catchpoint Synthetics, Datadog, and New Relic to make an informed decision for your organization's needs.

  1. Network Infrastructure Monitoring: Catchpoint Synthetics specializes in monitoring network infrastructure with a global network of over 800 locations, providing detailed insights into network performance and availability across various regions. Datadog and New Relic also offer network monitoring capabilities, but their focus may be more on application performance monitoring rather than network-specific metrics.

  2. Customizable Monitoring Checks: Catchpoint Synthetics allows for highly customizable monitoring checks, including the ability to simulate transactions, user interactions, and more complex scenarios. Datadog and New Relic offer a range of monitoring checks as well, but the level of customization and flexibility may not be as extensive as Catchpoint.

  3. Integration Capabilities: Datadog and New Relic both excel in their integration capabilities with various third-party tools and services, providing a comprehensive view of an organization's entire tech stack. Catchpoint also offers integration options but may not have the same breadth of integrations as Datadog and New Relic.

  4. Alerting and Notification Systems: Each platform offers its own alerting and notification systems to alert users of performance issues or anomalies. Catchpoint, Datadog, and New Relic provide customizable alerting rules and support multiple notification channels, ensuring that teams are promptly informed of any issues that arise.

  5. Metrics and Reporting: Datadog is renowned for its comprehensive metrics and reporting capabilities, offering detailed insights into application performance, infrastructure metrics, and more. New Relic also provides robust metrics and reporting features tailored to application performance monitoring. Catchpoint, on the other hand, has a strong focus on network-specific metrics and may offer different reporting metrics compared to Datadog and New Relic.

  6. Ease of Use and User Interface: Datadog and New Relic are known for their user-friendly interfaces and intuitive dashboards, making it easy for users to navigate and access relevant performance data. Catchpoint also offers a user-friendly interface, but the level of ease of use may vary depending on the user's familiarity with network monitoring tools.

Summary

In summary, Catchpoint Synthetics, Datadog, and New Relic each offer unique strengths in areas such as network monitoring, customization, integration, alerting, and reporting capabilities, catering to different monitoring needs and preferences within organizations.

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Detailed Comparison

New Relic
New Relic
Datadog
Datadog
Catchpoint Synthetics
Catchpoint Synthetics

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!

Monitor your websites, web applications, APIs, DNS and more, from over 800 locations relying on top-tier backbone carriers, consumer ISPs, over the air cellular carriers, and cloud providers.

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
- Monitor Website, Transaction, Mobile, HTML Code, DNS, API, Ping, SMTP, Traceroute, Websocket, FTP, TCP, UDP, Streaming, SSH, NTP, IMAP - Monitor with real Chrome 66 and IE 11 Browsers - Receive alerts via email, sms, or through webhook integrations - Gain Comprehensive End-User Experience Visibility: Monitor everything from development to production that can affect your end-user experience. - Manage the performance of all external providers, from CDNs to tags, and understand their individual impact on your service delivery. - Detect network instability in real time to correlate the issue to specific events such as ISP health or DDoS attacks to optimize performance across the entire delivery chain. - Set advanced alerts with dynamic thresholds such as trend shifts and baseline deviations. - Capture detailed data, including server and system visibility, to immediately identify the failing component. - Get troubleshooting guidance from extended debugging information with every alert and issue. - Explore raw data and slice and dice on any dimension to uncover performance trends that are hidden in aggregated data. - Leverage robust, pre-built visualizations or bring your own to Catchpoint. - Create and view customizable dashboards and reports in real time and share them for seamless communication.
Statistics
Stacks
22.7K
Stacks
9.8K
Stacks
5
Followers
8.7K
Followers
8.2K
Followers
6
Votes
1.9K
Votes
861
Votes
0
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
No community feedback yet
Integrations
No integrations available
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
AppDynamics
AppDynamics
Grafana
Grafana
Elasticsearch
Elasticsearch
PagerDuty
PagerDuty
Akamai
Akamai
Ansible
Ansible
Terraform
Terraform
Slack
Slack
Sumo Logic
Sumo Logic
OpsGenie
OpsGenie

What are some alternatives to New Relic, Datadog, Catchpoint Synthetics?

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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