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benchmark.js VS Datadog

Compare benchmark.js VS Datadog and see what are their differences

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benchmark.js logo benchmark.js

A benchmarking library that supports high-resolution timers & returns statistically significant results.

Datadog logo Datadog

See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
  • benchmark.js Landing page
    Landing page //
    2020-01-26
  • Datadog Landing page
    Landing page //
    2023-10-05

Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.

benchmark.js features and specs

  • Accurate Benchmarking
    Benchmark.js provides accurate and reliable performance tests for JavaScript code by internally handling variations and measurement issues, offering confidence in the benchmarks produced.
  • Cross-Platform Compatibility
    This library is compatible with different JavaScript environments, including browsers and Node.js, allowing developers to use it across various platforms without modification.
  • High Resolution Timing
    Benchmark.js takes advantage of high-resolution timers to offer precise measurements of performance, which is crucial for sophisticated benchmarking needs.
  • Rich Feature Set
    The library offers various utilities and features, such as statistical data, deep comparisons, and asynchronous testing capabilities, making it versatile for complex use cases.
  • Active Maintenance
    Benchmark.js is actively maintained and has a solid community, ensuring updates, improvements, and support when necessary.

Possible disadvantages of benchmark.js

  • Complexity
    For newcomers or those with simple benchmarking needs, Benchmark.js can be overly complex given its broad range of features and configuration options.
  • Dependency Size
    The inclusion of a robust library like Benchmark.js may introduce additional dependencies and increase the overall bundle size of a project, which can be a concern for performance-sensitive applications.
  • Learning Curve
    Due to its comprehensive nature, there might be a steep learning curve for users unfamiliar with benchmarking practices or the library's specific syntax and functions.
  • Browser Limitations
    While it works well in most environments, Browser-based benchmarks can be affected by outside influences (e.g., browser throttling) that are outside the library's control, possibly leading to inconsistent results.

Datadog features and specs

  • Comprehensive Monitoring
    Datadog offers a wide range of monitoring capabilities including infrastructure, application performance, log management, and user experience monitoring. This provides a unified view across the entire tech stack.
  • Integration Ecosystem
    With over 400 integrations available, Datadog can easily connect with virtually any service, application, and technology stack, making it highly versatile.
  • Scalability
    Datadog is designed to scale from small startups to large enterprises, providing functionalities that cater to varied sizes and complexities of operations.
  • Real-Time Data
    The platform provides real-time data and analytics, which is crucial for diagnosing and troubleshooting issues as they arise.
  • Alerting and Notifications
    Advanced alerting and notification features allow users to set up custom alerts based on metrics, enabling proactive problem resolution.
  • User-Friendly Interface
    The user interface is intuitive and easy to navigate, even for those who are not particularly technical, making it accessible to a broader range of users.
  • Security Features
    Datadog includes various security features such as compliance tracking, threat detection, and anomaly detection, enhancing overall security posture.

Possible disadvantages of Datadog

  • Cost
    Datadog can become quite expensive, especially as the volume of monitored data and the number of integrations increases. This can be a limiting factor for smaller businesses.
  • Complexity
    With its extensive feature set, Datadog can be overwhelming for new users, requiring a steep learning curve to master all functionalities.
  • Data Retention
    The default data retention period is often shorter than what some organizations require, leading to additional costs for longer retention.
  • Performance Overhead
    The extensive data collection and monitoring capabilities can add performance overhead to the monitored systems, potentially impacting their performance.
  • Customization Limitations
    While Datadog provides extensive dashboards and visualizations, some users find the customization options to be limited compared to other monitoring solutions.
  • Support
    Some users have reported that the customer support can be slow or insufficient at times, which could be a downside when facing critical issues.

Analysis of Datadog

Overall verdict

  • Datadog is generally considered a good choice for organizations needing a comprehensive monitoring solution that provides deep insights across various aspects of their technology stack. Its scalability and integration capabilities make it appealing for businesses of all sizes, especially those leveraging cloud services.

Why this product is good

  • Datadog is a powerful monitoring and analytics platform that provides comprehensive visibility into cloud-scale applications. It's known for its robust set of features, including infrastructure monitoring, application performance management, log management, and security monitoring. Datadog's ability to integrate with a vast array of services and technologies makes it a versatile tool for organizations looking to monitor complex systems. Furthermore, its real-time dashboards and alerting capabilities help teams quickly identify and address performance issues, improving reliability and efficiency.

Recommended for

  • Organizations using multiple cloud services and wanting unified monitoring.
  • IT teams looking for a detailed application performance management solution.
  • Businesses that require scalable monitoring for dynamic environments.
  • Companies seeking robust alerting and automation capabilities for infrastructure and application management.

benchmark.js videos

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Datadog videos

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Datadog Review & Walkthrough

More videos:

  • Review - DataDog: What it is and where its going
  • Review - Datadog: 2-Minute Tour

Category Popularity

0-100% (relative to benchmark.js and Datadog)

benchmark.js

Datadog

Monitoring Tools
1 1%
Monitoring Tools
99% 99
Log Management
2 2%
Log Management
98% 98
Network & Admin
100 100%
Network & Admin
0% 0
Performance Monitoring
0 0%
Performance Monitoring
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare benchmark.js and Datadog

benchmark.js Reviews

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Datadog Reviews

The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
10 Best Datadog Alternatives to Consider in 2023 Datadog is one of the most potent and versatile players on the market, but they have their fair share of downsides. The monitoring and observability space is quite competitive, so we will discuss 10 of the best Datadog alternatives and compare their pros and cons to determine which is better suited for your needs.
Source: betterstack.com
Top 10 Grafana Alternatives in 2024
While all Grafana alternatives do not offer pricing transparency, go for a flexible pricing structure that fits your budget. Tools like Datadog offer pricing based on data volume or monitoring scope, while Middleware offers a flexible pay-as-you-go pricing structure.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Open Source vs. Proprietary: Determine whether an open-source solution like SigNoz or a proprietary one like Datadog better aligns with your requirements and budget. Open-source tools often offer more customization and community support, while proprietary tools may provide more comprehensive out-of-the-box features and dedicated customer service. At SigNoz, we offer both...
Source: signoz.io
10 Best Grafana Alternatives [2023 Comparison]
Datadog is a massive tool that offers a lot of features and solutions, including log management. But before we dive too deep, please note that Datadog is expensive. It absolutely is not for anyone other than large-budgeted corporations. Just take a look at what people are saying on X.
Source: sematext.com
5 Best DevSecOps Tools in 2023
There are many platforms that can be utilized for monitoring and alerting. Some examples are New Relic, Datadog, AWS CloudWatch, Sentry, Dynatrace, and others. Again, these providers each have pros and cons related to pricing, offering, ad vendor lock-in. So research the options to see what may possibly be best for a given situation.
Source: devopsauthority.tech

Social recommendations and mentions

Based on our record, Datadog should be more popular than benchmark.js. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

benchmark.js mentions (3)

  • Is there a way to automate performance tests?
    We have a series of benchmark suites using https://benchmarkjs.com/. Every CI run saves the results of the benchmarks to a json file that we persist across runs and can compare against. Source: about 3 years ago
  • How do you test performance of a function in your tests?
    We use https://benchmarkjs.com/ to get statistically significant results, then write the results with the git hash to get a view of performance after every CI build. Source: about 3 years ago
  • How to run benchmark tests in node
    Https://benchmarkjs.com is what you want. Source: about 4 years ago

Datadog mentions (5)

  • Send the logs of your Shuttle-powered backend to Datadog
    Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / over 1 year ago
  • I wanted a self hosted alternative to Atlassian status page so I build my own application !
    Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 2 years ago
  • Datadog on Kubernetes: Avoiding Common Pitfalls
    Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / almost 4 years ago
  • Post-DockerCon spam
    .. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: about 4 years ago
  • Never write a UserService again
    We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing benchmark.js and Datadog, you can also consider the following products

iperf - A TCP, UDP, and SCTP network bandwidth measurement tool

Zabbix - Track, record, alert and visualize performance and availability of IT resources

jsPerf - A performance playground for JavaScript developers. Easily create and share test cases and run cross-browser benchmarks to find out which code snippet is most efficient.

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

NetIO-GUI - NetIO-GUI is a Windows frontend for the multiplatform commandline utility 'netio'.

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

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