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

Datadog vs SpeedCurve

OverviewDecisionsComparisonAlternatives

Overview

Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
SpeedCurve
SpeedCurve
Stacks26
Followers27
Votes3

Datadog vs SpeedCurve: What are the differences?

Introduction:

Datadog and SpeedCurve are both performance monitoring and optimization tools used by organizations to track and improve the performance of their websites and applications. While both tools offer similar functionality, there are key differences that set them apart from each other.

1. Integration Capabilities:

Datadog provides extensive integration capabilities, allowing users to monitor and analyze data from various sources such as infrastructure, application performance, logs, and more. It supports integration with a wide range of platforms and tools, making it a comprehensive monitoring solution for businesses.

On the other hand, SpeedCurve focuses specifically on web performance monitoring and optimization. It provides in-depth insights into website performance and user experience, offering detailed reports and recommendations to optimize web performance.

2. Focus on Real User Monitoring:

Datadog offers Real User Monitoring (RUM) capabilities, allowing users to track and analyze how actual users interact with their website or application. This helps businesses understand their users' experience, identify performance bottlenecks, and make data-driven optimizations.

SpeedCurve also emphasizes RUM, providing detailed metrics and visualizations of how real users experience a website. By focusing on RUM, SpeedCurve enables businesses to understand the true impact of performance on user satisfaction.

3. Synthetic Monitoring Options:

Datadog offers synthetic monitoring capabilities, allowing users to simulate real user interactions and monitor the performance of their web applications. This helps businesses proactively identify and resolve performance issues before they impact actual users.

SpeedCurve also provides synthetic monitoring options, enabling users to continuously test the performance of their websites from multiple locations worldwide. By leveraging synthetic monitoring, businesses can ensure optimal website performance across different geographical regions.

4. Data Visualization and Reporting:

Datadog offers a comprehensive data visualization and reporting system, allowing users to create custom dashboards and reports to monitor and analyze performance data. It provides a wide range of visualization options, enabling users to gain insights and make informed decisions based on data.

SpeedCurve also provides powerful data visualization and reporting capabilities. It offers detailed reports on performance metrics, including visual representations of performance trends over time. The ability to visualize and analyze performance data enables businesses to identify areas for improvement and track the impact of optimizations.

5. Alerting and Notification System:

Datadog provides a robust alerting and notification system, allowing users to set up custom alerts based on specific performance metrics or thresholds. This ensures that users are notified immediately when performance issues arise, enabling prompt action and resolution.

SpeedCurve also offers an alerting and notification system, allowing users to set up alerts for specific performance metrics. By alerting users of performance anomalies or deviations, SpeedCurve helps businesses identify and address issues affecting their website's performance.

6. Pricing and Cost Structure:

Pricing for Datadog is based on a subscription model, with different plans available based on the level of usage and features required. The cost of Datadog depends on factors such as infrastructure size, data ingestion volume, and additional features or add-ons.

SpeedCurve offers tiered pricing based on the number of pages monitored and the frequency of testing. The cost of SpeedCurve varies depending on the scale and needs of the organization.

In Summary, while both Datadog and SpeedCurve provide performance monitoring and optimization solutions, Datadog offers extensive integration capabilities and a broader range of monitoring options, including infrastructure and application performance. SpeedCurve, on the other hand, focuses specifically on web performance monitoring and user experience, providing detailed insights and recommendations for improving website performance.

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Advice on Datadog, SpeedCurve

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
SpeedCurve
SpeedCurve

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!

SpeedCurve gives you continuous feedback on how your front-end code is affecting the performance of your website. Get detailed build analysis and performance filmstrips for your own website and then benchmark your performance against the competition to make sure your website loads faster.

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
Front-end performance monitoring;Track asset sizes and requests;Built in Google PagesSpeed Insight reports;Weekly reports and alerts;Built on top of WebPagetest;Responsive website testing;Competitive benchmarking;Share dashboards with the team;API to trigger tests on every deploy;Visual diffs to spot UX regressions
Statistics
Stacks
9.8K
Stacks
26
Followers
8.2K
Followers
27
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
    Easy setup
  • 1
    Understandable reports and great benchmark
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

What are some alternatives to Datadog, SpeedCurve?

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.

Atatus

Atatus

Atatus is a server and frontend monitoring SaaS, using which you can monitor the performance and track the errors of your app.

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