Software Alternatives, Accelerators & Startups

Inspector.dev VS Datadog

Compare Inspector.dev VS Datadog and see what are their differences

Inspector.dev logo Inspector.dev

Code Execution Monitoring, built for software developers

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.
  • Inspector.dev Landing page
    Landing page //
    2023-10-20

Inspector is a Code Execution Monitoring tool that heps software development companies identify bugs and bottlenecks in their applications automatically. Before their users do. Developers can save a ton of money with a product specialized in software code consistency rather than generic infrastructure monitoring.

  • 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.

Inspector.dev

$ Details
freemium €39.0 / Monthly
Platforms
AWS Laravel Vuejs Ubuntu Node JS
Release Date
2020 July

Datadog

$ Details
freemium $15.0 / Monthly (per host)
Platforms
Browser REST API
Release Date
-

Inspector.dev features and specs

  • Real-time Monitoring
    Inspector.dev provides real-time monitoring of web applications, allowing developers to quickly identify and resolve issues as they occur.
  • User-friendly Interface
    The platform features an intuitive interface that makes it easy for developers of all skill levels to navigate and utilize its features effectively.
  • Automated Issue Detection
    Inspector.dev automatically detects and alerts users about performance issues, saving time and improving the efficiency of the development process.
  • Integration Capabilities
    It offers seamless integration with popular development tools and platforms, enabling a more cohesive workflow for developers.
  • Detailed Error Reporting
    The service provides comprehensive error reports that help developers understand the root cause of issues and expedite the debugging process.

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.

Inspector.dev videos

Miller Adulu - FROG Technologies

More videos:

  • Review - Inspector Gadget Cartoon Series Review (2011)
  • Review - INSPECTOR GADGET BAD MOVIE REVIEW | Double Toasted
  • Review - Inspector Gadget: The Movie - Nostalgia Critic

Datadog videos

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 Inspector.dev and Datadog)
Developer Tools
100 100%
0% 0
Monitoring Tools
1 1%
99% 99
Log Management
0 0%
100% 100
Productivity
100 100%
0% 0

User comments

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Reviews

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

Inspector.dev Reviews

We have no reviews of Inspector.dev yet.
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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.

Social recommendations and mentions

Based on our record, Inspector.dev should be more popular than Datadog. It has been mentiond 15 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.

Inspector.dev mentions (15)

  • Improve PHP AI Agents output quality with Rerankers
    Neuron's built-in observability features automatically trace the execution of each post processor, so you'll be able to monitor interactions with external services in your Inspector account. Learn more in the observability section. - Source: dev.to / 13 days ago
  • PHP, the Dark Horse No One Saw Coming In PHP AI Agents development
    Six months ago, I never imagined I'd find myself at the forefront of this revolution. As the creator of Inspector, an established observability tool in the PHP ecosystem, I had a front-row seat to the challenges developers faced when attempting to implement AI in production PHP environments. - Source: dev.to / 19 days ago
  • Create AI Agents In PHP Powered By Google Gemini LLMs
    Many of the Agents you build with Neuron AI will contain multiple steps with multiple invocations of LLM calls. As these applications get more and more complex, it becomes crucial to be able to inspect what exactly is going on inside your agents. The best way to do this is with Inspector. - Source: dev.to / 22 days ago
  • Introducing Neuron AI – Create full featured AI Agents in PHP
    Use NeuronAI\Chat\Messages\UserMessage; $response = SEOAgent::make($user) ->chat( new UserMessage("Give me your feedback about this article: https://inspector.dev/introduction-to-neuron-ai-create-full-featured-ai-agents-in-php/") ); Echo $response->getContent(); // It seems like a good job has been done on the article, // however I can give you some tips to improve SEO:... - Source: dev.to / 3 months ago
  • Php Base64 encode/decode – best practices and use cases
    Monitoring: Use tools like Inspector for real-time debugging and tracking. - Source: dev.to / 4 months ago
View more

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: almost 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 Inspector.dev and Datadog, you can also consider the following products

Ping-API - Automated API testing and monitoring.

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

remstat - remstat makes it easy to create dashboards for long-running tasks like training machine learning models or processing large amounts of data.

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

Livedocs - Create documents with live data from your existing 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.