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Datadog VS Codacy

Compare Datadog VS Codacy and see what are their differences

NinjaOne
NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools. featured
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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Codacy logo Codacy

Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
  • 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.

  • Codacy Landing page
    Landing page //
    2023-08-27

Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.

Datadog

Website
datadoghq.com
Pricing URL
Official Datadog Pricing
$ Details
freemium $15.0 / Monthly (per host)
Platforms
Browser REST API
Release Date
-
Edit details

Codacy

Website
codacy.com
Pricing URL
Official Codacy Pricing
$ Details
-
Platforms
-
Release Date
2012 January
Startup details
Country
Portugal
State
Lisboa
City
Lisbon
Founder(s)
Jaime Jorge
Employees
1 - 9
Edit details

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.

Codacy features and specs

  • Comprehensive Code Analysis
    Codacy offers a wide array of static code analysis tools that can help identify many types of issues such as code complexity, security vulnerabilities, and code duplication.
  • Supports Multiple Languages
    Codacy supports a wide variety of programming languages including Java, JavaScript, Python, Ruby, and more. This makes it suitable for polyglot development teams.
  • Integration with CI/CD Pipelines
    Codacy integrates seamlessly with popular Continuous Integration/Continuous Deployment (CI/CD) tools like Jenkins, CircleCI, and Travis CI, enabling automated code reviews as part of the development workflow.
  • Customizable Analysis
    It allows teams to set custom quality and code style thresholds, ensuring that the code analysis process is tailored to meet the specific requirements of the project.
  • Automated Pull Request Reviews
    Codacy can automatically review pull requests and report issues as comments, helping developers identify problems before merging code changes.
  • Dashboard and Reporting
    It provides an insightful dashboard that offers an overview of code quality metrics and trends over time. This helps in tracking progress and identifying areas that need improvement.

Possible disadvantages of Codacy

  • High Cost for Large Teams
    While Codacy offers a free tier, the pricing can become quite expensive for larger teams and organizations, which could be a limiting factor for widespread adoption.
  • Initial Configuration Complexity
    Setting up Codacy to match specific project requirements can be complex and time-consuming, requiring significant effort to configure all the necessary rules and integrations.
  • Occasional False Positives
    Some users have reported instances of false positives, where Codacy flags code that does not actually have any issues. This can lead to wasted time and potential confusion.
  • Performance Issues
    Codacy can sometimes slow down during code analysis, particularly for large projects, which can impact developer productivity.
  • Learning Curve
    For teams that are new to code analysis tools, there may be a learning curve involved in understanding and effectively utilizing Codacy's comprehensive feature set.

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.

Datadog videos

+ Add

Datadog Review & Walkthrough

More videos:

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

Codacy videos

+ Add

Using Codacy for automated code reviews

More videos:

Category Popularity

0-100% (relative to Datadog and Codacy)

Datadog

Codacy

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Code Coverage
0 0%
Code Coverage
100% 100
Log Management
100 100%
Log Management
0% 0
Code Analysis
0 0%
Code Analysis
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 Datadog and Codacy

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

Codacy Reviews

Top 11 SonarQube Alternatives in 2024
Each of these tools offers unique advantages that make them compelling alternatives to SonarQube, depending on organizational goals, budgets, and technology stacks. Codeant.ai and Codacy provide user-friendly experiences with robust integrations, while tools like Veracode, Checkmarx, and Snyk offer advanced security features. For organizations focused on testing, Code...
Source: www.codeant.ai
8 Best Static Code Analysis Tools For 2024
Codacy is a popular code analysis and quality tool that helps you deliver better software. It continuously reviews your code and monitors its quality from the beginning.
Source: www.qodo.ai
The 5 Best SonarQube Alternatives in 2024
Secondly, while SonarQube offers security analysis, Codacy provides a more holistic approach to security, including features like supply chain security and secret detection out of the box. Added to this are Codacy’s actionable insights. Codacy's AI-suggested fixes and prioritized issue lists help teams act on the information provided rather than just presenting a list of...
Source: blog.codacy.com
Ten Best SonarQube alternatives in 2021
Codacy automates code opinions and monitors code quality on each sprint. The main issues it covers concern code style, best practices, and security. In addition, it monitors adjustments in code insurance, code duplication, and code complexity. She was saving developers time in code opinions, consequently successfully tackling technical debt. JavaScript, Java, Ruby, Scala,...
Source: duecode.io

Social recommendations and mentions

Datadog might be a bit more popular than Codacy. We know about 5 links to it since March 2021 and only 4 links to Codacy. 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.

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

Codacy mentions (4)

  • What is the best way to set a cookie (without setcookie?)
    I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 3 years ago
  • Converting vstest coverage files in github actions?
    Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: almost 4 years ago
  • PHP Static Analysis Tools Review
    Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / about 4 years ago
  • Top 10 ways to perform fast code reviews
    Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing Datadog and Codacy, you can also consider the following products

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

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

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

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

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.

CodeFactor.io - Automated Code Review for GitHub & BitBucket

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