Software Alternatives, Accelerators & Startups

Datadog VS LinkedIn Developers

Compare Datadog VS LinkedIn Developers and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

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.

LinkedIn Developers logo LinkedIn Developers

Discover career paths and land a job
  • 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.

  • LinkedIn Developers Landing page
    Landing page //
    2023-01-18

Datadog

$ Details
freemium $15.0 / Monthly (per host)
Platforms
Browser REST API
Startup details
Country
United States

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.

LinkedIn Developers features and specs

  • Professional Network Access
    LinkedIn Developers provides access to a vast network of professional profiles, enabling applications to tap into an extensive database of professionals, which can be beneficial for recruitment, marketing, and other professional services.
  • Rich Data and Insights
    The platform allows for the integration of rich professional data and insights, which can enhance applications by providing users with personalized and contextual data.
  • Brand Exposure
    By integrating with LinkedIn, applications can increase their exposure, connecting with LinkedIn's substantial user base for improved engagement and visibility.
  • Comprehensive API Suite
    LinkedIn offers a comprehensive suite of APIs that enable developers to create diverse and robust applications, catering to various functionalities such as hiring solutions, marketing, and networking.

Possible disadvantages of LinkedIn Developers

  • Strict API Limitations
    LinkedIn imposes strict limitations on their APIs, which can restrict the amount of data that can be accessed and the frequency of requests, potentially hindering the performance and scalability of applications.
  • Compliance and Policy Restrictions
    Applications must adhere to LinkedIn's stringent compliance and data usage policies, which can limit creativity and require additional resources for policy adherence and monitoring.
  • Complex Integration Process
    Integrating with LinkedIn Developers can be complex and time-consuming due to the need to understand and implement multiple APIs effectively while ensuring compliance with all requirements.
  • Limited Access for Non-Partners
    Full access to LinkedIn's APIs is often restricted to official partners, which could deter smaller developers or startups that may not qualify for partnership but still wish to leverage LinkedIn's capabilities.

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

Datadog Review & Walkthrough

More videos:

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

LinkedIn Developers videos

No LinkedIn Developers videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Datadog and LinkedIn Developers)
Monitoring Tools
100 100%
0% 0
Tech
0 0%
100% 100
Log Management
100 100%
0% 0
Hiring And Recruitment
0 0%
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 LinkedIn Developers

Datadog Reviews

The Best Cloud Cost Management Tool: An Expert Guide (2026)
If observability is covered by Datadog: Datadog answers *why* costs are high (e.g., a memory leak), but a FinOps tool answers *what* to do about it (e.g., resize the instance). If your primary need is correlating performance to cost, Datadog is excellent. If you need to automate the remediation of idle, oversized, or poorly scheduled resources, the gap is significant and a...
Source: nuvelia.fr
Smart Cloud Cost Optimization FinOps 2026: AWS, Datadog, Thalaxo Cloud Compared
If observability is already covered by Datadog: Datadogโ€™s Cloud Cost Management is powerful for correlating performance with cost. Itโ€™s enough if your primary need is deep analytical insight into why costs are what they are, and you have the internal resources to translate those insights into manual actions or custom automation. However, if you need automated actions like...
Source: thalaxo.com
CloudHealth vs Vantage vs Thalaxo Cloud: Multi-Cloud FinOps Compared (2026)
If observability is already covered by Datadog or another APM: Datadog excels at performance monitoring and can attribute application costs based on resource consumption metrics. However, it primarily focuses on observing and attributing performance-related costs. A dedicated FinOps tool like Thalaxo Cloud complements this by providing deeper infrastructure cost optimization...
Source: thalaxo.com
Top Datadog Competitors and Alternatives in 2025
Datadog is a fantastic platform that provides Monitoring and analytics services to businesses and organizations. However, some users have reported encountering pain points while using the platform. For instance, the cost of Datadog can be a concern for some businesses. Datadog can be relatively expensive, especially for large-scale deployments or organizations with a high...
Source: www.atatus.com
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

LinkedIn Developers Reviews

We have no reviews of LinkedIn Developers yet.
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Social recommendations and mentions

LinkedIn Developers might be a bit more popular than Datadog. We know about 5 links to it since March 2021 and only 5 links to Datadog. 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 / almost 3 years 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 3 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 5 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 5 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 / over 5 years ago

LinkedIn Developers mentions (5)

  • How to Integrate Social Media into Your SaaS App
    The LinkedIn Developer Portal is where you create and manage applications that can securely access LinkedIn APIs, enabling you to configure authentication, request permissions, and manage access to LinkedIn resources. - Source: dev.to / 5 months ago
  • Publishing Pipeline - LinkedIn Support
    To enable API access, the first step involved setting up a developer application on LinkedIn's platform. Head over to the LinkedIn Developers portal to create an app. This process is straightforward but requires careful configuration to ensure secure and effective communication.v. - Source: dev.to / 5 months ago
  • Mastering LinkedIn API: Step-by-Step Guide for Seamless Integration
    Register an App โ€“ Go to LinkedIn Developer Portal and create an app. - Source: dev.to / over 1 year ago
  • Automatically posting articles from dev.to to linkedin.com
    Now, you need to go to the developer portal using link and create the new application:. - Source: dev.to / over 1 year ago
  • Integrating LinkedIn Authentication with NextAuth.js: A Step-by-Step Guide
    To allow Next.js application to use LinkedIn as an authentication provider, first create an app inside LinkedIn Developer Portal. - Source: dev.to / almost 2 years ago

What are some alternatives?

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

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

CareerStack - Curated directory of job search resources & tools

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.

Career Cache - The best tools and resources to help you get a better job

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

Matter - Create a feedback-focused culture in Slack with Matter!