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Datadog VS AWS Elastic Beanstalk

Compare Datadog VS AWS Elastic Beanstalk and see what are their differences

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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.

AWS Elastic Beanstalk logo AWS Elastic Beanstalk

Quickly deploy and manage applications in the AWS cloud.
  • 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.

  • AWS Elastic Beanstalk Landing page
    Landing page //
    2022-01-30

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.

AWS Elastic Beanstalk features and specs

  • Ease of Use
    AWS Elastic Beanstalk simplifies the process of deploying and scaling web applications and services. It automatically handles deployment, from capacity provisioning, load balancing, and auto-scaling to application health monitoring.
  • Integration with AWS Services
    Being part of the AWS ecosystem, Elastic Beanstalk easily integrates with other AWS services like RDS, S3, CloudWatch, and IAM, providing a comprehensive and secure application environment.
  • Multi-language Support
    Elastic Beanstalk supports multiple programming languages and frameworks, such as Java, .NET, Node.js, Python, Ruby, Go, and Docker, making it a versatile choice for developers.
  • Managed Environment
    Elastic Beanstalk provides a fully managed environment, taking care of the server configurations, operating system, and middleware, which allows developers to focus more on writing code.
  • Scalability
    Automatic scaling enables applications deployed on Elastic Beanstalk to handle varying amounts of traffic. The service automatically scales your application up and down based on the demands.

Possible disadvantages of AWS Elastic Beanstalk

  • Abstracted Control
    Elastic Beanstalk abstracts away much of the underlying infrastructure. While this simplifies usage, it also limits the amount of control and customization developers have over their environment.
  • Cost
    While the pricing model can be cost-effective for some use cases, it may become expensive as applications scale or when advanced features and higher-end resources are required.
  • Platform Limitations
    Elastic Beanstalk has certain limitations in terms of supported platforms and regions. Not every AWS service or feature is available in all regions, which could restrict some deployment scenarios.
  • Deploy Time
    Deployments can sometimes be slow, especially for large applications or when multiple environment updates are required. This can impact development and iteration cycles.
  • Debugging Complexity
    While Elastic Beanstalk manages the environment, diagnosing and debugging issues can sometimes be more complex due to the abstracted infrastructure. Developers may need to delve deeper into AWS logs and metrics for troubleshooting.

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

AWS Elastic Beanstalk videos

+ Add

AWS Elastic Beanstalk Tutorial | What Is AWS Elastic Beanstalk? | AWS Tutorial | Simplilearn

Category Popularity

0-100% (relative to Datadog and AWS Elastic Beanstalk)

Datadog

AWS Elastic Beanstalk

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Log Management
100 100%
Log Management
0% 0
Cloud Hosting
0 0%
Cloud Hosting
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 AWS Elastic Beanstalk

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

AWS Elastic Beanstalk Reviews

We have no reviews of AWS Elastic Beanstalk yet.
Be the first one to post

Social recommendations and mentions

Based on our record, AWS Elastic Beanstalk should be more popular than Datadog. It has been mentiond 38 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.

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

AWS Elastic Beanstalk mentions (38)

  • Deploying a Rails 7 + React app to AWS via Dokku
    My previous workplace was run by a team that lacked experience in getting an app from zero to production. We had a starter react + rails app in our hands, but the details of the final step--putting our app online for users to consume--was amorphous at best. Our whiteboard was inked with a "let's use Elastic Beanstalk," so I was told to do just that. - Source: dev.to / 8 months ago
  • Ask HN: How are you hosting multiple small apps?
    Based on the fact that your ideal is to have a similar experience to heroku than managing your own server setting up reverse proxies take a look at these options: 1) https://dokku.com - lets you turn your light sail instance basically into heroku 2) https://render.com 3) https://fly.io above is not what I do but would be the options I would pursue if I understand your preference and requirement correctly. - Source: Hacker News / over 1 year ago
  • Deploying a Django Application to Elastic Beanstalk
    Elastic Beanstalk (EB) is a cloud deployment service provided by Amazon Web Services. It facilitates the deployment and scaling of web applications and services by automating the creation of individual infrastructure components, including EC2 instances, auto-scaling, ELBs, security groups, and other infrastructure components. Using the AWS Management Console and command-line interface, deployment with EB is quick... - Source: dev.to / almost 2 years ago
  • Fortifying Your Three-Tier Application: Proactive Measures for Strengthening Your Application Security
    This Terraform code snippet can be used to deploy an AWS Elastic Beanstalk environment:. - Source: dev.to / about 2 years ago
  • So many options, getting confused
    K8s isn't going to play well with your deployment pattern without some advanced cluster management. Honestly it seems like you would be better serviced with something like https://aws.amazon.com/elasticbeanstalk/ . Source: about 2 years ago
View more

What are some alternatives?

When comparing Datadog and AWS Elastic Beanstalk, you can also consider the following products

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

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

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

AWS Lambda - Automatic, event-driven compute service

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.

Now Platform - Get native platform intelligence, so you can predict, prioritize, and proactively manage the work that matters most with the NOW Platform from ServiceNow.

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